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Pipeline run

6e0a6edf-8fd1-4b19-bbc0-4a132890b96f

Pipeline LLM cost (USD)
API 1: $0.0047 API 2: $0.0003 API 3: $0.0000 Total: $0.0051

Client output enrichment

v2 Skill cluster · Nature of work · AI index · Tech stack maturity · Evidence · KRA description
Nature of work · Platform Engineering / Cloud Native Infrastructure
Designs and automates Kubernetes-based platform services, containerization, and self-service developer workflows, while improving HA/scalability and partnering on security, observability, and DevSecOps architecture patterns.
"designing, implementing, and managing Cloud Native Kubernetes-based platform ecosystem and solutions"
Tech stack maturity
Modern Cloud Native
The skill set centers on Kubernetes, Docker, Terraform, microservices, observability, and CI/CD automation, which strongly indicates a modern cloud-native architecture.
AI index (0 = no AI use, 5 = totally AI-dependent · v2.1)
0.00 / 5
· Title match
· Has AI skill
· AI skill (primary)
· AI skill (secondary)
· On AI team
· Builds AI products
vocab breakdown (legacy)
Assistants (×1):
Frameworks (×2):
Models / concepts (×3):
Evidence — skills matched in JD (19)
Kubernetes Docker Service Mesh GitOps K8s Traffic Shaping API CI/CD Observability DevSecOps Terraform Jenkins Crossplane Microservices External DNS Certificate Management Cloud Native High Availability Scalability
Skill cluster (6 dimension groups, role-scoped)
Container Orchestration Platforms
Kubernetes K8s
Availability and Disaster Recovery
High Availability
Containerization and Image Builds
Docker
Infrastructure as Code
Terraform
Observability and Operations
Observability
Cross-cutting / unaligned
Service Mesh GitOps Traffic Shaping API CI/CD DevSecOps Jenkins Crossplane Microservices External DNS Certificate Management Cloud Native Scalability
Show KRA description ↓
The Senior Engineer Kubernetes is a hands-on engineer responsible for designing, implementing, and managing Cloud Native Kubernetes-based platform ecosystem and solutions for organization. This includes developing and implementing containerization strategies, developer workflows, designing and deploying Kubernetes platform, and ensuring high availability and scalability of Kubernetes infrastructure aligned with modern GitOps practices. • Implement platform capabilities and containerization plan using Kubernetes, Docker, service mesh and other modern containerization tools and technologies. • Design and collaborate with other engineering stakeholders in developing architecture patterns and templates for application runtime platform such as K8s Cluster topology, traffic shaping, API, CI CD, and observability aligned with DevSecOps principles. • Automate Kubernetes infrastructure deployment and management using tools such as Terraform, Jenkins, Crossplane to develop self-service platform workflows. • Serve as member of micro-services platform team to closely work with Security and Compliance organization to define controls. • Develop self-service platform capabilities focused on developer workflows such as API, service mesh, external DNS, cert management and K8s life cycle management in general. • Participate in a cross-functional IT Architecture group discussion that reviews design from an enterprise cloud platform perspective. • Optimize Kubernetes platform infrastructure for high availability and scalability.

Signals

Skill devops-engineer
0.26
Alias devops-engineer
1.00
KRA devops-engineer
0.62
Status: completed Created: 2026-05-27T15:19:37.765533Z Updated: 2026-06-12T16:35:12.618451Z API 3 duration: 46984 ms
Flow Current 3-step pipeline

1 POST /skills/extract-from-jd

2 POST /skills/extract-details

3 POST /skills/final-role-output

Role Chosen role & resolution

Cloud Architect

Cloud Engineer

sub-role · 0.95 CASE A

slug: cloud-architect · id: 9 · source: db · sub-role slug: cloud-engineer

Multi-alias tie (4 roles at 1.0) resolved by TIER_B_TITLE: Cloud Engineer

Resolution: in_db — role exists in library; skill↔dim and role↔dim links saved when applicable.

0
New skills
0
Skill↔dim saved
0
Role↔dim saved
3
Skipped

Job description

Kenvue Is Currently Recruiting For a

Sr Engineer

What We Do

At Kenvue, we realize the extraordinary power of everyday care. Built on over a century of heritage and rooted in science, we’re the house of iconic brands - including NEUTROGENA®, AVEENO®, TYLENOL®, LISTERINE®, JOHNSON’S® and BAND-AID® that you already know and love. Science is our passion; care is our talent.

Who We Are

Our global team is ~ 22,000 brilliant people with a workplace culture where every voice matters, and every contribution is appreciated. We are passionate about insights, innovation and committed to delivering the best products to our customers. With expertise and empathy, being a Kenvuer means having the power to impact millions of people every day. We put people first, care fiercely, earn trust with science and solve with courage – and have brilliant opportunities waiting for you! Join us in shaping our future–and yours. For more information, click here.

Role Reports To

Senior Manager

Location:

Asia Pacific, India, Karnataka, Bangalore

Work Location:

Hybrid

What You Will Do

Who we are:

At Kenvue, we believe there is extraordinary power in everyday care. Built on over a century of heritage and propelled forward by science, our iconic brands—including NEUTROGENA®, AVEENO®, TYLENOL®, LISTERINE®, JOHNSON’S® and BAND-AID® —are category leaders trusted by millions of consumers who use our products to improve their daily lives. Our employees share a digital-first mindset, an approach to innovation grounded in deep human insights, and a commitment to continually earning a place for our products in consumers’ hearts and homes.

What Will You Do

The Senior Engineer Kubernetes is a hands-on engineer responsible for designing, implementing, and managing Cloud Native Kubernetes-based platform ecosystem and solutions for organization. This includes developing and implementing containerization strategies, developer workflows, designing and deploying Kubernetes platform, and ensuring high availability and scalability of Kubernetes infrastructure aligned with modern GitOps practices.

Key Responsibilities

• Implement platform capabilities and containerization plan using Kubernetes, Docker, service mesh and other modern containerization tools and technologies.
• Design and collaborate with other engineering stakeholders in developing architecture patterns and templates for application runtime platform such as K8s Cluster topology, traffic shaping, API, CI CD, and observability aligned with DevSecOps principles.
• Automate Kubernetes infrastructure deployment and management using tools such as Terraform, Jenkins, Crossplane to develop self-service platform workflows.
• Serve as member of micro-services platform team to closely work with Security and Compliance organization to define controls.
• Develop self-service platform capabilities focused on developer workflows such as API, service mesh, external DNS, cert management and K8s life cycle management in general.
• Participate in a cross-functional IT Architecture group discussion that reviews design from an enterprise cloud platform perspective. 
• Optimize Kubernetes platform infrastructure for high availability and scalability.


Qualifications

What we are looking for

• Bachelor’s Degree required, preferably in STEM field.
• 5+ years of progressive experience in a combination of development, design in areas of cloud computing.
• 3+ years of experience in developing cloud native platform capabilities based of Kubernetes (Preferred EKS and/or AKS).
• Strong Infrastructure as a Code (IaC) experience on public Cloud (AWS and/or Azure)
• Experience in working on a large scale, highly available, cloud native, multi-tenant, infrastructure platforms on public cloud, preferably in a consumer business
• Expertise in building platform using tools like Kubernetes, Istio, OpenShift, Linux, Helm, Terraform, CI/CD.
• Experience in working high scale, critically important products running across public clouds (AWS, Azure) and private data centers is a plus.
• Strong hand-on development experience with one or more of the following languages: Go, Scala, Java, Ruby, Python
• Prior experience on working in a team involved in re-architecting and migrating monolith applications to microservices will be a plus
• Prior experience of Observability, through tools such as Prometheus, Elasticsearch, Grafana, DataDog or Zipkin is a plus.
• Must have a solid understanding of Continuous Development and Deployment in AWS and/or Azure.
• Understanding of basic Linux kernel and window server operating system
• Experience in working with bash, PowerShell scripting.
• Must be results-driven, a quick learner, and a self-starter
• Cloud engineering experience is a plus.


If you are an individual with a disability, please check our Disability Assistance page for information on how to request an accommodation.

Skills from this JD

Each row merges API 1 extraction, API 2 library match / v3 orchestration (dimensions + locked dims), and API 3 persistence tags.

Kubernetes Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: Kubernetes id=726 · kubernetes

Aliases — catalog

  • Kubernetes (CANONICAL) primary
  • Kubernetes 1.0+ (VERSION)
  • Kubernetes 1.x (VERSION)
  • Kubernetes v1 (VERSION)
  • k8s (VERSION)
  • kubernetes 1.x (VERSION)
  • kubernetes latest (VERSION)

Context tags (catalog)

CI/CD Cluster Autoscaler ConfigMap DaemonSet Deployment Docker Grafana Helm Ingress Istio K8s Kubelet Namespace Pod Prometheus RBAC Secret Service StatefulSet containerization deployment etcd kubectl load balancing microservices namespace orchestration persistent storage scalability service mesh

Stored enrichment (catalog DB)

Category
Platform
Sub-category
Container Orchestration Platform
Vendor
Cloud Native Computing Foundation
License
apache_2
Year introduced
2014
Confidence
0.90
Version strategy
SEPARATE_ENTITY
Version tag
1.30

Maturity reasoning: Broadly adopted in cloud-native stacks; Kubernetes appears in a large share of DevOps/SRE job descriptions and is the default orchestration platform across major cloud vendors.

Skill profile (library / DB)

Skill nature
PLATFORM
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
9
Sub-category id
557
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • Container Orchestration Platforms Catalog dimension db id 134

    Library dimension (catalog)

    Roles linked in library: Cloud Architect, DevOps Engineer

  • Kubernetes for ML Workloads Catalog dimension db id 47

    Library dimension (catalog)

    Roles linked in library: ML Engineer, MLOps Engineer

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
Container Orchestration Platforms
container-orchestration-platforms
Existing dimension (library) · Role↔dimension saved
Kubernetes for ML Workloads
kubernetes-for-ml-workloads
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Docker Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: Docker id=61 · docker

Aliases — catalog

  • Docker (CANONICAL) primary

Context tags (catalog)

CI/CD Compose DevOps Docker Compose Docker Swarm Dockerfile Kubernetes build pipeline container container lifecycle container orchestration container registry container security containerization containers image image registry images immutable infrastructure lightweight virtualization microservices networking orchestration port mapping registry scalability service discovery swarm volume volume management

Stored enrichment (catalog DB)

Category
Tool
Sub-category
Containerization Tool
Vendor
Docker, Inc.
License
apache_2
Year introduced
2013
Confidence
0.98
Version strategy
NOT_APPLICABLE

Maturity reasoning: Docker is a hiring-pipeline staple: it appears in many DevOps, backend, and platform JDs, and remains a standard containerization tool alongside Kubernetes in production stacks.

Skill profile (library / DB)

Skill nature
TOOL
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
13
Sub-category id
63
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • Containerization and Image Builds Catalog dimension db id 152

    Library dimension (catalog)

    Roles linked in library: DevOps Engineer

  • Deployment and Cloud Platforms Catalog dimension db id 418

    Library dimension (catalog)

    Roles linked in library: Ruby Backend Developer

  • Deployment and Runtime Configuration Catalog dimension db id 13

    Library dimension (catalog)

    Roles linked in library: .NET Backend Developer, Backend Developer, Go Backend Developer, PHP Backend Developer

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
Containerization and Image Builds
containerization-and-image-builds
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Deployment and Cloud Platforms
deployment-and-cloud-platforms
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Deployment and Runtime Configuration
deployment-and-runtime-configuration
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Service Mesh Primary New / orchestrated API 3: new canonical path (new) New / unmatched skill (orchestrated in API 2)

Skill enrichment (orchestrator / LLM)

No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).

Derived legacy fields
Category
Concepts
Sub-category
general
Skill nature
CONCEPT
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
GitOps Primary New / orchestrated API 3: new canonical path (new) New / unmatched skill (orchestrated in API 2)

Skill enrichment (orchestrator / LLM)

No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).

Derived legacy fields
Category
Practices
Sub-category
general
Skill nature
PRACTICE
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
K8s Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: Kubernetes id=726 · kubernetes

Aliases — catalog

  • Kubernetes (CANONICAL) primary
  • Kubernetes 1.0+ (VERSION)
  • Kubernetes 1.x (VERSION)
  • Kubernetes v1 (VERSION)
  • k8s (VERSION)
  • kubernetes 1.x (VERSION)
  • kubernetes latest (VERSION)

Context tags (catalog)

CI/CD Cluster Autoscaler ConfigMap DaemonSet Deployment Docker Grafana Helm Ingress Istio K8s Kubelet Namespace Pod Prometheus RBAC Secret Service StatefulSet containerization deployment etcd kubectl load balancing microservices namespace orchestration persistent storage scalability service mesh

Stored enrichment (catalog DB)

Category
Platform
Sub-category
Container Orchestration Platform
Vendor
Cloud Native Computing Foundation
License
apache_2
Year introduced
2014
Confidence
0.90
Version strategy
SEPARATE_ENTITY
Version tag
1.30

Maturity reasoning: Broadly adopted in cloud-native stacks; Kubernetes appears in a large share of DevOps/SRE job descriptions and is the default orchestration platform across major cloud vendors.

Skill profile (library / DB)

Skill nature
PLATFORM
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
9
Sub-category id
557
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • Container Orchestration Platforms Catalog dimension db id 134

    Library dimension (catalog)

    Roles linked in library: Cloud Architect, DevOps Engineer

  • Kubernetes for ML Workloads Catalog dimension db id 47

    Library dimension (catalog)

    Roles linked in library: ML Engineer, MLOps Engineer

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
Container Orchestration Platforms
container-orchestration-platforms
Existing dimension (library) · Role↔dimension saved
Kubernetes for ML Workloads
kubernetes-for-ml-workloads
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Traffic Shaping Primary New / orchestrated API 3: new canonical path (new) New / unmatched skill (orchestrated in API 2)

Skill enrichment (orchestrator / LLM)

No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).

Derived legacy fields
Category
Concepts
Sub-category
general
Skill nature
CONCEPT
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
API Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: API id=1568 · api

Aliases — catalog

  • API (CANONICAL)

Context tags (catalog)

API gateway GraphQL JSON OAuth REST SDK SOAP XML authentication endpoint microservices rate limiting throttling versioning webhooks

Stored enrichment (catalog DB)

Category
Concept
Sub-category
Application Programming Interface
Confidence
0.93
Version strategy
NOT_APPLICABLE

Maturity reasoning: APIs are a core requirement in most software engineering JDs and underpin common integrations across cloud, mobile, and web stacks; major vendors like AWS, Stripe, and Google Cloud center products on API-first usage.

Skill profile (library / DB)

Skill nature
CONCEPT
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
2
Sub-category id
1174
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • API Integration and Data Fetching Catalog dimension db id 127

    Library dimension (catalog)

    Roles linked in library: Angular Frontend Developer, Frontend Developer, Fullstack Developer, React Frontend Developer, Svelte Frontend Developer, Vue Frontend Developer, Web Developer

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
API Integration and Data Fetching
api-integration-and-data-fetching
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
CI/CD Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: CI/CD id=1190 · ci-cd

Aliases — catalog

  • CI/CD (CANONICAL)

Context tags (catalog)

Ansible CircleCI Docker GitLab CI Jenkins Kubernetes Terraform Travis CI automated testing build automation continuous deployment continuous integration deployment pipelines monitoring version control

Stored enrichment (catalog DB)

Category
Methodology
Sub-category
Ci Cd Process
Confidence
0.93
Version strategy
NOT_APPLICABLE

Maturity reasoning: CI/CD appears in a large share of software engineering JDs and is a standard requirement across DevOps, platform, and backend roles; major vendors like GitHub, GitLab, and AWS all center product roadmaps on CI/CD pipelines.

Skill profile (library / DB)

Skill nature
METHODOLOGY
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
8
Sub-category id
900
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • CI/CD Pipeline Platforms Catalog dimension db id 150

    Library dimension (catalog)

    Roles linked in library: DevOps Engineer

  • CI/CD for Machine Learning Catalog dimension db id 56

    Library dimension (catalog)

    Roles linked in library: ML Engineer

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
CI/CD Pipeline Platforms
ci-cd-pipeline-platforms
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
CI/CD for Machine Learning
ci-cd-for-machine-learning
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Observability Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: Observability id=1581 · observability

Aliases — catalog

  • Observability (CANONICAL)

Context tags (catalog)

Grafana OpenTelemetry Prometheus SLIs SLOs alerting dashboards data visualization distributed systems logging metrics monitoring observability tools root cause analysis tracing

Stored enrichment (catalog DB)

Category
Concept
Sub-category
Observability
Confidence
0.93
Version strategy
NOT_APPLICABLE

Maturity reasoning: Observability is broadly listed in SRE/DevOps job descriptions and supported by major vendors like Datadog, Grafana, and New Relic, indicating mainstream hiring demand.

Skill profile (library / DB)

Skill nature
CONCEPT
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
2
Sub-category id
1187
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • Observability and Operations Catalog dimension db id 143

    Library dimension (catalog)

    Roles linked in library: Cloud Architect

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
Observability and Operations
observability-and-operations
Existing dimension (library) · Role↔dimension saved
DevSecOps Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: DevOps id=1216 · devops

Aliases — catalog

  • DevOps (CANONICAL)

Context tags (catalog)

Agile Ansible Automation CI/CD Cloud-native Continuous Deployment Continuous Integration Docker GitOps Infrastructure as Code Jenkins Kubernetes Microservices Monitoring SRE Terraform

Stored enrichment (catalog DB)

Category
Methodology
Sub-category
Devops Methodology
Confidence
0.97
Version strategy
NOT_APPLICABLE

Maturity reasoning: DevOps appears in a large share of software and platform engineering job descriptions, often alongside CI/CD, Kubernetes, and cloud tooling; it is a standard hiring-pipeline keyword rather than a niche specialty.

Skill profile (library / DB)

Skill nature
METHODOLOGY
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
8
Sub-category id
922
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • CI/CD Pipeline Platforms Catalog dimension db id 150

    Library dimension (catalog)

    Roles linked in library: DevOps Engineer

  • Deployment and Release Patterns Catalog dimension db id 140

    Library dimension (catalog)

    Roles linked in library: Cloud Architect

  • Infrastructure as Code Catalog dimension db id 132

    Library dimension (catalog)

    Roles linked in library: Cloud Architect, DevOps Engineer

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
CI/CD Pipeline Platforms
ci-cd-pipeline-platforms
Skipped — no persistable v3 meta for new skill
skill_not_in_db_v3_proposed
Deployment and Release Patterns
deployment-and-release-patterns
Skipped — no persistable v3 meta for new skill
skill_not_in_db_v3_proposed
Infrastructure as Code
infrastructure-as-code
Skipped — no persistable v3 meta for new skill
skill_not_in_db_v3_proposed
Terraform Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: Terraform id=286 · terraform

Aliases — catalog

  • Terraform (CANONICAL) primary

Context tags (catalog)

AWS Azure GCP HCL IaC Terraform Cloud Terraform Enterprise Terraform Registry Terragrunt apply backend destroy infrastructure automation modules outputs plan providers provisioning remote backends remote state resource blocks resource management state file state management terraform apply terraform plan variables version control workspaces

Stored enrichment (catalog DB)

Category
Tool
Sub-category
Infrastructure As Code Tool
Vendor
HashiCorp
License
mpl
Year introduced
2014
Confidence
0.93
Version strategy
NOT_APPLICABLE

Maturity reasoning: Terraform is broadly listed in DevOps/SRE/cloud JDs and remains a standard IaC tool across AWS/Azure/GCP; HashiCorp’s ecosystem and widespread GitHub usage signal strong market adoption.

Skill profile (library / DB)

Skill nature
TOOL
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
13
Sub-category id
191
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • Infrastructure & Security Automation Frameworks Catalog dimension db id 249

    Library dimension (catalog)

    Roles linked in library: Cloud Security Engineer

  • Infrastructure as Code Catalog dimension db id 132

    Library dimension (catalog)

    Roles linked in library: Cloud Architect, DevOps Engineer

  • Infrastructure as Code for ML Catalog dimension db id 57

    Library dimension (catalog)

    Roles linked in library: ML Engineer

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
Infrastructure & Security Automation Frameworks
infrastructure-security-automation-frameworks
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Infrastructure as Code
infrastructure-as-code
Existing dimension (library) · Role↔dimension saved
Infrastructure as Code for ML
infrastructure-as-code-for-ml
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Jenkins Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: Jenkins id=283 · jenkins

Aliases — catalog

  • Jenkins (CANONICAL) primary

Context tags (catalog)

Blue Ocean CI/CD Declarative Pipeline Docker Groovy Jenkinsfile Kubernetes agents artifact repository artifacts automation build triggers integration multibranch pipeline pipeline plugins shared libraries stages test automation version control webhooks

Stored enrichment (catalog DB)

Category
Tool
Sub-category
Ci Cd Tool
Vendor
CloudBees
License
mit
Year introduced
2011
Confidence
0.99
Version strategy
NOT_APPLICABLE

Maturity reasoning: Jenkins remains a common CI/CD requirement in job postings and enterprise DevOps stacks, with broad plugin ecosystem and long-running GitHub activity despite newer alternatives.

Skill profile (library / DB)

Skill nature
TOOL
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
13
Sub-category id
184
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • CI/CD Pipeline Platforms Catalog dimension db id 150

    Library dimension (catalog)

    Roles linked in library: DevOps Engineer

  • CI/CD for Machine Learning Catalog dimension db id 56

    Library dimension (catalog)

    Roles linked in library: ML Engineer

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
CI/CD Pipeline Platforms
ci-cd-pipeline-platforms
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
CI/CD for Machine Learning
ci-cd-for-machine-learning
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Crossplane Primary New / orchestrated API 3: new canonical path (new) New / unmatched skill (orchestrated in API 2)

Skill enrichment (orchestrator / LLM)

No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).

Derived legacy fields
Category
Infrastructure Tools
Sub-category
general
Skill nature
TOOL
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
Microservices Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: microservices id=41 · microservices

Aliases — catalog

  • microservices (CANONICAL) primary

Context tags (catalog)

API Gateway API gateway CQRS DevOps Docker Kubernetes REST API RESTful services Saga pattern Spring Boot circuit breaker containerization decentralized distributed tracing domain-driven design event sourcing event-driven event-driven architecture gRPC load balancing message broker microservices patterns monitoring scalability service discovery service mesh

Stored enrichment (catalog DB)

Category
Architecture
Sub-category
Distributed System Architecture
Confidence
0.99
Version strategy
NOT_APPLICABLE

Maturity reasoning: Microservices is a common architecture in job descriptions across backend/cloud roles, and major vendors like AWS, Google Cloud, and Kubernetes ecosystems provide first-class support and reference patterns.

Skill profile (library / DB)

Skill nature
PATTERN
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
1
Sub-category id
1
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • Microservices and Distributed Systems Catalog dimension db id 9

    Library dimension (catalog)

    Roles linked in library: Backend Developer, Node.js Backend Developer, Scala Backend Developer

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
Microservices and Distributed Systems
microservices-and-distributed-systems
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
External DNS Primary New / orchestrated API 3: new canonical path (new) New / unmatched skill (orchestrated in API 2)

Skill enrichment (orchestrator / LLM)

No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).

Derived legacy fields
Category
Infrastructure Tools
Sub-category
general
Skill nature
TOOL
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
Certificate Management Primary New / orchestrated API 3: new canonical path (new) New / unmatched skill (orchestrated in API 2)

Skill enrichment (orchestrator / LLM)

No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).

Derived legacy fields
Category
Security Tools
Sub-category
general
Skill nature
PRACTICE
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
Cloud Native Primary New / orchestrated API 3: new canonical path (new) New / unmatched skill (orchestrated in API 2)

Skill enrichment (orchestrator / LLM)

No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).

Derived legacy fields
Category
Concepts
Sub-category
general
Skill nature
CONCEPT
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED
High Availability Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: high availability id=764 · high-availability

Aliases — catalog

  • high availability (CANONICAL) primary

Context tags (catalog)

RPO RTO SLA active-active active-passive clustering disaster recovery failover fault tolerance heartbeat load balancing redundancy replication rolling upgrade zero downtime

Stored enrichment (catalog DB)

Category
Concept
Sub-category
Reliability Concept
Confidence
0.92
Version strategy
NOT_APPLICABLE

Maturity reasoning: High availability is a standard requirement in cloud/SRE job descriptions and vendor docs; AWS, Azure, and GCP all publish HA reference architectures, showing broad market adoption.

Skill profile (library / DB)

Skill nature
CONCEPT
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
2
Sub-category id
535
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • Availability and Disaster Recovery Catalog dimension db id 141

    Library dimension (catalog)

    Roles linked in library: Cloud Architect

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
Availability and Disaster Recovery
availability-and-disaster-recovery
Existing dimension (library) · Role↔dimension saved
Scalability Primary New / orchestrated API 3: new canonical path (new) New / unmatched skill (orchestrated in API 2)

Skill enrichment (orchestrator / LLM)

No Stage 7 enrichment blob on this skill (orchestrator skipped enrichment).

Derived legacy fields
Category
Concepts
Sub-category
general
Skill nature
CONCEPT
Volatility
MEDIUM
Typical lifespan
MULTI_YEAR
Version strategy
UNVERSIONED

All API 3 persistence rows

Same grid as the skill-extractor “Persistence items” table: one row per (skill × dimension) work item.

Skill Tag Dimension Skill↔dim Role↔dim Outcome Notes
Kubernetes in_db
Container Orchestration Platforms
container-orchestration-platforms
Existing dimension (library) · Role↔dimension saved
Kubernetes in_db
Kubernetes for ML Workloads
kubernetes-for-ml-workloads
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Docker in_db
Containerization and Image Builds
containerization-and-image-builds
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Docker in_db
Deployment and Cloud Platforms
deployment-and-cloud-platforms
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Docker in_db
Deployment and Runtime Configuration
deployment-and-runtime-configuration
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
K8s in_db
Container Orchestration Platforms
container-orchestration-platforms
Existing dimension (library) · Role↔dimension saved
K8s in_db
Kubernetes for ML Workloads
kubernetes-for-ml-workloads
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
API in_db
API Integration and Data Fetching
api-integration-and-data-fetching
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
CI/CD in_db
CI/CD Pipeline Platforms
ci-cd-pipeline-platforms
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
CI/CD in_db
CI/CD for Machine Learning
ci-cd-for-machine-learning
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Observability in_db
Observability and Operations
observability-and-operations
Existing dimension (library) · Role↔dimension saved
DevSecOps new
CI/CD Pipeline Platforms
ci-cd-pipeline-platforms
Skipped — no persistable v3 meta for new skill skill_not_in_db_v3_proposed
DevSecOps new
Deployment and Release Patterns
deployment-and-release-patterns
Skipped — no persistable v3 meta for new skill skill_not_in_db_v3_proposed
DevSecOps new
Infrastructure as Code
infrastructure-as-code
Skipped — no persistable v3 meta for new skill skill_not_in_db_v3_proposed
Terraform in_db
Infrastructure & Security Automation Frameworks
infrastructure-security-automation-frameworks
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Terraform in_db
Infrastructure as Code
infrastructure-as-code
Existing dimension (library) · Role↔dimension saved
Terraform in_db
Infrastructure as Code for ML
infrastructure-as-code-for-ml
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Jenkins in_db
CI/CD Pipeline Platforms
ci-cd-pipeline-platforms
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Jenkins in_db
CI/CD for Machine Learning
ci-cd-for-machine-learning
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Microservices in_db
Microservices and Distributed Systems
microservices-and-distributed-systems
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
High Availability in_db
Availability and Disaster Recovery
availability-and-disaster-recovery
Existing dimension (library) · Role↔dimension saved

Library artifacts (this run)

Kind Detail DB id
canonical_skill_proposed Service Mesh | type=Concepts subtype=general nature=CONCEPT lifespan=MULTI_YEAR
canonical_skill_proposed GitOps | type=Practices subtype=general nature=PRACTICE lifespan=MULTI_YEAR
canonical_skill_proposed Traffic Shaping | type=Concepts subtype=general nature=CONCEPT lifespan=MULTI_YEAR
canonical_skill_proposed Crossplane | type=Infrastructure Tools subtype=general nature=TOOL lifespan=MULTI_YEAR
canonical_skill_proposed External DNS | type=Infrastructure Tools subtype=general nature=TOOL lifespan=MULTI_YEAR
canonical_skill_proposed Certificate Management | type=Security Tools subtype=general nature=PRACTICE lifespan=MULTI_YEAR
canonical_skill_proposed Cloud Native | type=Concepts subtype=general nature=CONCEPT lifespan=MULTI_YEAR
canonical_skill_proposed Scalability | type=Concepts subtype=general nature=CONCEPT lifespan=MULTI_YEAR
dimension_skill_link_proposed DevSecOps ↔ CI/CD Pipeline Platforms
dimension_skill_link_proposed DevSecOps ↔ Deployment and Release Patterns
role_dimension_link_proposed Cloud Architect ↔ Deployment and Release Patterns
dimension_skill_link_proposed DevSecOps ↔ Infrastructure as Code
role_dimension_link_proposed Cloud Architect ↔ Infrastructure as Code
nano JD Parser — gpt-4.1-nano click to toggle
RoleSr Engineer
CompanyKenvue
Experience5+ years of progressive experience in a combination of development, design in areas of cloud computing.
DomainConsumer Packaged Goods
Location Bangalore, India (hybrid)
JD type pass
Show raw JSON
{
  "JD_type": "pass",
  "about_company": {
    "source_marker": {
      "first_5_words": "At Kenvue, we realize",
      "last_5_words": "you already know and love."
    },
    "text": "At Kenvue, we realize the extraordinary power of everyday care. Built on over a century of heritage and rooted in science, we\u2019re the house of iconic brands - including NEUTROGENA\u00ae, AVEENO\u00ae, TYLENOL\u00ae, LISTERINE\u00ae, JOHNSON\u2019S\u00ae and BAND-AID\u00ae that you already know and love. Science is our passion; care is our talent.",
    "word_count": 50
  },
  "certifications": [],
  "company_name": "Kenvue",
  "ctc": null,
  "domain": {
    "primary": {
      "aliases": [
        "FMCG",
        "CPG"
      ],
      "domain": "Consumer Packaged Goods"
    },
    "secondary": null
  },
  "education": [
    {
      "level": "Bachelor\u0027s",
      "qualification": "BTECH/BE/BSC - STEM",
      "raw": "Bachelor\u2019s Degree required, preferably in STEM field.",
      "requirement": "required"
    }
  ],
  "experience": {
    "max": null,
    "min": 5,
    "raw": "5+ years of progressive experience in a combination of development, design in areas of cloud computing."
  },
  "job_locations": [
    {
      "aliases": [
        "Bengaluru"
      ],
      "city": "Bangalore",
      "country": "India",
      "state": "Karnataka",
      "work_mode": "hybrid"
    }
  ],
  "role": "Sr Engineer",
  "role_aliases": [
    "Senior Engineer",
    "Cloud Engineer",
    "Kubernetes Engineer"
  ],
  "role_archetype": "Engineering",
  "roles_and_responsibilities": [
    {
      "bullet_count": 0,
      "heading": "What Will You Do",
      "heading_was_present": true,
      "source_marker": {
        "first_5_words": "The Senior Engineer Kubernetes is",
        "last_5_words": "GitOps practices."
      },
      "text": "The Senior Engineer Kubernetes is a hands-on engineer responsible for designing, implementing, and managing Cloud Native Kubernetes-based platform ecosystem and solutions for organization. This includes developing and implementing containerization strategies, developer workflows, designing and deploying Kubernetes platform, and ensuring high availability and scalability of Kubernetes infrastructure aligned with modern GitOps practices.",
      "word_count": 54
    },
    {
      "bullet_count": 7,
      "heading": "Key Responsibilities",
      "heading_was_present": true,
      "source_marker": {
        "first_5_words": "\u2022 Implement platform capabilities and",
        "last_5_words": "availability and scalability."
      },
      "text": "\u2022 Implement platform capabilities and containerization plan using Kubernetes, Docker, service mesh and other modern containerization tools and technologies.\n\u2022 Design and collaborate with other engineering stakeholders in developing architecture patterns and templates for application runtime platform such as K8s Cluster topology, traffic shaping, API, CI CD, and observability aligned with DevSecOps principles.\n\u2022 Automate Kubernetes infrastructure deployment and management using tools such as Terraform, Jenkins, Crossplane to develop self-service platform workflows.\n\u2022 Serve as member of micro-services platform team to closely work with Security and Compliance organization to define controls.\n\u2022 Develop self-service platform capabilities focused on developer workflows such as API, service mesh, external DNS, cert management and K8s life cycle management in general.\n\u2022 Participate in a cross-functional IT Architecture group discussion that reviews design from an enterprise cloud platform perspective.\n\u2022 Optimize Kubernetes platform infrastructure for high availability and scalability.",
      "word_count": 155
    }
  ],
  "urls": []
}
API 1 — extract-from-jd click to toggle
{
  "final_skills": [
    {
      "is_primary": true,
      "skill_name": "Kubernetes"
    },
    {
      "is_primary": true,
      "skill_name": "Docker"
    },
    {
      "is_primary": true,
      "skill_name": "Service Mesh"
    },
    {
      "is_primary": true,
      "skill_name": "GitOps"
    },
    {
      "is_primary": true,
      "skill_name": "K8s"
    },
    {
      "is_primary": true,
      "skill_name": "Traffic Shaping"
    },
    {
      "is_primary": true,
      "skill_name": "API"
    },
    {
      "is_primary": true,
      "skill_name": "CI/CD"
    },
    {
      "is_primary": true,
      "skill_name": "Observability"
    },
    {
      "is_primary": true,
      "skill_name": "DevSecOps"
    },
    {
      "is_primary": true,
      "skill_name": "Terraform"
    },
    {
      "is_primary": true,
      "skill_name": "Jenkins"
    },
    {
      "is_primary": true,
      "skill_name": "Crossplane"
    },
    {
      "is_primary": true,
      "skill_name": "Microservices"
    },
    {
      "is_primary": true,
      "skill_name": "External DNS"
    },
    {
      "is_primary": true,
      "skill_name": "Certificate Management"
    },
    {
      "is_primary": true,
      "skill_name": "Cloud Native"
    },
    {
      "is_primary": true,
      "skill_name": "High Availability"
    },
    {
      "is_primary": true,
      "skill_name": "Scalability"
    }
  ],
  "jd_role": {
    "display_name": "Sr Engineer",
    "rationale": null,
    "role_aliases": [
      "Senior Engineer",
      "Cloud Engineer",
      "Kubernetes Engineer"
    ],
    "role_archetype": "Engineering",
    "slug": ""
  },
  "nano_parsed": {
    "JD_type": "pass",
    "about_company": {
      "source_marker": {
        "first_5_words": "At Kenvue, we realize",
        "last_5_words": "you already know and love."
      },
      "text": "At Kenvue, we realize the extraordinary power of everyday care. Built on over a century of heritage and rooted in science, we\u2019re the house of iconic brands - including NEUTROGENA\u00ae, AVEENO\u00ae, TYLENOL\u00ae, LISTERINE\u00ae, JOHNSON\u2019S\u00ae and BAND-AID\u00ae that you already know and love. Science is our passion; care is our talent.",
      "word_count": 50
    },
    "certifications": [],
    "company_name": "Kenvue",
    "ctc": null,
    "domain": {
      "primary": {
        "aliases": [
          "FMCG",
          "CPG"
        ],
        "domain": "Consumer Packaged Goods"
      },
      "secondary": null
    },
    "education": [
      {
        "level": "Bachelor\u0027s",
        "qualification": "BTECH/BE/BSC - STEM",
        "raw": "Bachelor\u2019s Degree required, preferably in STEM field.",
        "requirement": "required"
      }
    ],
    "experience": {
      "max": null,
      "min": 5,
      "raw": "5+ years of progressive experience in a combination of development, design in areas of cloud computing."
    },
    "job_locations": [
      {
        "aliases": [
          "Bengaluru"
        ],
        "city": "Bangalore",
        "country": "India",
        "state": "Karnataka",
        "work_mode": "hybrid"
      }
    ],
    "role": "Sr Engineer",
    "role_aliases": [
      "Senior Engineer",
      "Cloud Engineer",
      "Kubernetes Engineer"
    ],
    "role_archetype": "Engineering",
    "roles_and_responsibilities": [
      {
        "bullet_count": 0,
        "heading": "What Will You Do",
        "heading_was_present": true,
        "source_marker": {
          "first_5_words": "The Senior Engineer Kubernetes is",
          "last_5_words": "GitOps practices."
        },
        "text": "The Senior Engineer Kubernetes is a hands-on engineer responsible for designing, implementing, and managing Cloud Native Kubernetes-based platform ecosystem and solutions for organization. This includes developing and implementing containerization strategies, developer workflows, designing and deploying Kubernetes platform, and ensuring high availability and scalability of Kubernetes infrastructure aligned with modern GitOps practices.",
        "word_count": 54
      },
      {
        "bullet_count": 7,
        "heading": "Key Responsibilities",
        "heading_was_present": true,
        "source_marker": {
          "first_5_words": "\u2022 Implement platform capabilities and",
          "last_5_words": "availability and scalability."
        },
        "text": "\u2022 Implement platform capabilities and containerization plan using Kubernetes, Docker, service mesh and other modern containerization tools and technologies.\n\u2022 Design and collaborate with other engineering stakeholders in developing architecture patterns and templates for application runtime platform such as K8s Cluster topology, traffic shaping, API, CI CD, and observability aligned with DevSecOps principles.\n\u2022 Automate Kubernetes infrastructure deployment and management using tools such as Terraform, Jenkins, Crossplane to develop self-service platform workflows.\n\u2022 Serve as member of micro-services platform team to closely work with Security and Compliance organization to define controls.\n\u2022 Develop self-service platform capabilities focused on developer workflows such as API, service mesh, external DNS, cert management and K8s life cycle management in general.\n\u2022 Participate in a cross-functional IT Architecture group discussion that reviews design from an enterprise cloud platform perspective.\n\u2022 Optimize Kubernetes platform infrastructure for high availability and scalability.",
        "word_count": 155
      }
    ],
    "urls": []
  },
  "rejected": false,
  "rejection_reason": null,
  "run_id": "6e0a6edf-8fd1-4b19-bbc0-4a132890b96f",
  "stage3_signals": {
    "alias_found": true,
    "alias_match_roles": [
      {
        "display_name": "DevOps Engineer",
        "kra_matches": null,
        "matched_count": null,
        "matched_skills": null,
        "role_id": 10,
        "score": 1.0,
        "slug": "devops-engineer",
        "total_count": null
      },
      {
        "display_name": "Container / Kubernetes Engineer",
        "kra_matches": null,
        "matched_count": null,
        "matched_skills": null,
        "role_id": 135,
        "score": 1.0,
        "slug": "container-kubernetes-engineer",
        "total_count": null
      },
      {
        "display_name": "Cloud Engineer",
        "kra_matches": null,
        "matched_count": null,
        "matched_skills": null,
        "role_id": 334,
        "score": 1.0,
        "slug": "cloud-engineer",
        "total_count": null
      },
      {
        "display_name": "Kubernetes Engineer",
        "kra_matches": null,
        "matched_count": null,
        "matched_skills": null,
        "role_id": 400,
        "score": 1.0,
        "slug": "kubernetes-engineer",
        "total_count": null
      }
    ],
    "kra_match_roles": [
      {
        "display_name": "DevOps Engineer",
        "kra_matches": [
          {
            "kra_text": "Manages container orchestration with Kubernetes and Docker, deploying applications as pods, managing namespaces, and configuring auto-scaling across cloud environments.",
            "sentence": "This includes developing and implementing containerization strategies, developer workflows, designing and deploying Kubernetes platform, and ensuring high availability and scalability of Kubernetes infrastructure aligned with modern GitOps practices.",
            "similarity": 0.6472
          },
          {
            "kra_text": "Builds and maintains CI/CD pipelines using Jenkins, GitHub Actions, GitLab CI, or CircleCI to automate build, test, security scanning, and deployment workflows.",
            "sentence": "Automate Kubernetes infrastructure deployment and management using tools such as Terraform, Jenkins, Crossplane to develop self-service platform workflows.",
            "similarity": 0.6102
          },
          {
            "kra_text": "Collaborates with development teams to improve build processes, reduce deployment friction, containerize applications, and adopt DevOps best practices.",
            "sentence": "Design and collaborate with other engineering stakeholders in developing architecture patterns and templates for application runtime platform such as K8s Cluster topology, traffic shaping, API, CI CD, and observability aligned with DevSecOps principles.",
            "similarity": 0.5992
          }
        ],
        "matched_count": null,
        "matched_skills": null,
        "role_id": 10,
        "score": 0.6189,
        "slug": "devops-engineer",
        "total_count": null
      },
      {
        "display_name": "Cloud Architect",
        "kra_matches": [
          {
            "kra_text": "Conducts architecture reviews, approves technical design documents, and guides engineering teams through cloud migration and modernization projects.",
            "sentence": "Participate in a cross-functional IT Architecture group discussion that reviews design from an enterprise cloud platform perspective.",
            "similarity": 0.6496
          },
          {
            "kra_text": "Designs multi-region and multi-availability-zone cloud infrastructure architectures for high availability, fault tolerance, and horizontal scalability.",
            "sentence": "Optimize Kubernetes platform infrastructure for high availability and scalability.",
            "similarity": 0.5774
          },
          {
            "kra_text": "Conducts architecture reviews, approves technical design documents, and guides engineering teams through cloud migration and modernization projects.",
            "sentence": "Design and collaborate with other engineering stakeholders in developing architecture patterns and templates for application runtime platform such as K8s Cluster topology, traffic shaping, API, CI CD, and observability aligned with DevSecOps principles.",
            "similarity": 0.5495
          }
        ],
        "matched_count": null,
        "matched_skills": null,
        "role_id": 9,
        "score": 0.5921,
        "slug": "cloud-architect",
        "total_count": null
      },
      {
        "display_name": "Cloud Security Engineer",
        "kra_matches": [
          {
            "kra_text": "Documents cloud security standards, approved architecture patterns, security exceptions, and remediation guidance for engineering teams.",
            "sentence": "Design and collaborate with other engineering stakeholders in developing architecture patterns and templates for application runtime platform such as K8s Cluster topology, traffic shaping, API, CI CD, and observability aligned with DevSecOps principles.",
            "similarity": 0.5657
          },
          {
            "kra_text": "Assesses security risk and compliance posture of new cloud services, third-party SaaS integrations, and infrastructure architecture changes.",
            "sentence": "Serve as member of micro-services platform team to closely work with Security and Compliance organization to define controls.",
            "similarity": 0.5361
          },
          {
            "kra_text": "Assesses security risk and compliance posture of new cloud services, third-party SaaS integrations, and infrastructure architecture changes.",
            "sentence": "Participate in a cross-functional IT Architecture group discussion that reviews design from an enterprise cloud platform perspective.",
            "similarity": 0.517
          }
        ],
        "matched_count": null,
        "matched_skills": null,
        "role_id": 23,
        "score": 0.5396,
        "slug": "cloud-security-engineer",
        "total_count": null
      },
      {
        "display_name": "Backend Developer",
        "kra_matches": [
          {
            "kra_text": "Configures Docker containers, deployment descriptors, environment variables, and CI/CD pipeline stages for backend service releases.",
            "sentence": "This includes developing and implementing containerization strategies, developer workflows, designing and deploying Kubernetes platform, and ensuring high availability and scalability of Kubernetes infrastructure aligned with modern GitOps practices.",
            "similarity": 0.5377
          },
          {
            "kra_text": "Configures Docker containers, deployment descriptors, environment variables, and CI/CD pipeline stages for backend service releases.",
            "sentence": "Develop self-service platform capabilities focused on developer workflows such as API, service mesh, external DNS, cert management and K8s life cycle management in general.",
            "similarity": 0.5254
          },
          {
            "kra_text": "Configures Docker containers, deployment descriptors, environment variables, and CI/CD pipeline stages for backend service releases.",
            "sentence": "Implement platform capabilities and containerization plan using Kubernetes, Docker, service mesh and other modern containerization tools and technologies.",
            "similarity": 0.5019
          }
        ],
        "matched_count": null,
        "matched_skills": null,
        "role_id": 1,
        "score": 0.5217,
        "slug": "backend-engineer",
        "total_count": null
      },
      {
        "display_name": "MLOps Engineer",
        "kra_matches": [
          {
            "kra_text": "Automates ML platform operations including scheduled retraining triggers, pipeline orchestration, evaluation workflows, and alerting configuration.",
            "sentence": "Automate Kubernetes infrastructure deployment and management using tools such as Terraform, Jenkins, Crossplane to develop self-service platform workflows.",
            "similarity": 0.5509
          },
          {
            "kra_text": "Orchestrates model serving deployments to production using Kubernetes, MLflow Model Registry, SageMaker, or Kubeflow Serving infrastructure.",
            "sentence": "Design and collaborate with other engineering stakeholders in developing architecture patterns and templates for application runtime platform such as K8s Cluster topology, traffic shaping, API, CI CD, and observability aligned with DevSecOps principles.",
            "similarity": 0.512
          },
          {
            "kra_text": "Orchestrates model serving deployments to production using Kubernetes, MLflow Model Registry, SageMaker, or Kubeflow Serving infrastructure.",
            "sentence": "Optimize Kubernetes platform infrastructure for high availability and scalability.",
            "similarity": 0.4843
          }
        ],
        "matched_count": null,
        "matched_skills": null,
        "role_id": 16,
        "score": 0.5157,
        "slug": "ml-ops-engineer",
        "total_count": null
      }
    ],
    "skill_match_roles": [
      {
        "display_name": "DevOps Engineer",
        "kra_matches": null,
        "matched_count": 5,
        "matched_skills": [
          "CI/CD",
          "Docker",
          "Jenkins",
          "Kubernetes",
          "Terraform"
        ],
        "role_id": 10,
        "score": 0.2632,
        "slug": "devops-engineer",
        "total_count": 19
      },
      {
        "display_name": "ML Engineer",
        "kra_matches": null,
        "matched_count": 4,
        "matched_skills": [
          "CI/CD",
          "Jenkins",
          "Kubernetes",
          "Terraform"
        ],
        "role_id": 3,
        "score": 0.2105,
        "slug": "ml-engineer",
        "total_count": 19
      },
      {
        "display_name": "Cloud Architect",
        "kra_matches": null,
        "matched_count": 4,
        "matched_skills": [
          "Kubernetes",
          "Observability",
          "Terraform",
          "high availability"
        ],
        "role_id": 9,
        "score": 0.2105,
        "slug": "cloud-architect",
        "total_count": 19
      },
      {
        "display_name": "Backend Developer",
        "kra_matches": null,
        "matched_count": 2,
        "matched_skills": [
          "Docker",
          "microservices"
        ],
        "role_id": 1,
        "score": 0.1053,
        "slug": "backend-engineer",
        "total_count": 19
      },
      {
        "display_name": "Frontend Developer",
        "kra_matches": null,
        "matched_count": 1,
        "matched_skills": [
          "API"
        ],
        "role_id": 7,
        "score": 0.0526,
        "slug": "frontend-engineer",
        "total_count": 19
      }
    ]
  },
  "stage4_decision": {
    "alias_collision_detected": true,
    "case": "A",
    "chosen_role": {
      "display_name": "Cloud Architect",
      "kra_matches": null,
      "matched_count": null,
      "matched_skills": null,
      "role_id": 9,
      "score": 1.0,
      "slug": "cloud-architect",
      "total_count": null
    },
    "confidence": 0.95,
    "is_new_role": false,
    "llm2_fired": false,
    "llm2_reasoning": null,
    "matched_dimensions": [],
    "matched_kras": [],
    "matched_skills": [],
    "new_role_display_name": null,
    "new_role_slug": null,
    "queued": false,
    "reasoning": "Multi-alias tie (4 roles at 1.0) resolved by TIER_B_TITLE: Cloud Engineer",
    "sub_role": {
      "confidence": 0.95,
      "display_name": "Cloud Engineer",
      "reasoning": "hoisted from chosen leaf (case=A)",
      "role_id": 334,
      "slug": "cloud-engineer"
    }
  },
  "stage5_updates": null
}
API 2 — extract-details
{
  "alias_matches": [
    {
      "alias_persist_skipped_reason": "alias_text already exists for this canonical skill",
      "alias_persisted": false,
      "existing_alias_id": 1267,
      "existing_alias_text": "Kubernetes",
      "input_term": "Kubernetes",
      "matched_canonical": {
        "category_id": 9,
        "display_name": "Kubernetes",
        "id": 726,
        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "PLATFORM",
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              "slug": "svelte-frontend-developer",
              "source": "db"
            },
            {
              "display_name": "Vue Frontend Developer",
              "id": 91,
              "rationale": null,
              "role_archetype": "Engineering",
              "slug": "vue-frontend-developer",
              "source": "db"
            },
            {
              "display_name": "Web Developer",
              "id": 25,
              "rationale": null,
              "role_archetype": null,
              "slug": "web-developer",
              "source": "db"
            }
          ]
        }
      ],
      "input_skill": "API",
      "matched_via": "alias",
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": null,
      "source_tag": "db",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [
        {
          "alias_text": "CI/CD",
          "alias_type": "CANONICAL",
          "id": 1826,
          "is_primary": false,
          "match_strategy": "CASE_INSENSITIVE"
        }
      ],
      "canonical": {
        "category_id": 8,
        "display_name": "CI/CD",
        "id": 1190,
        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "METHODOLOGY",
        "slug": "ci-cd",
        "sub_category_id": 900,
        "typical_lifespan": "EVERGREEN",
        "volatility": "STABLE"
      },
      "dimensions": [
        {
          "dimension": {
            "difficulty_hint": "well_known",
            "display_name": "CI/CD Pipeline Platforms",
            "id": 150,
            "rationale": "Systems used to define, run, and maintain automated build and deployment workflows. This cluster is coherent because the role owns delivery automation end to end, including pipeline reliability and promotion logic.",
            "slug": "ci-cd-pipeline-platforms",
            "source": "db"
          },
          "input_skill": "CI/CD",
          "llm_role": null,
          "roles_from_db": [
            {
              "display_name": "DevOps Engineer",
              "id": 10,
              "rationale": null,
              "role_archetype": null,
              "slug": "devops-engineer",
              "source": "db"
            }
          ]
        },
        {
          "dimension": {
            "difficulty_hint": "well_known",
            "display_name": "CI/CD for Machine Learning",
            "id": 56,
            "rationale": "Tools and platforms for automating ML model integration, testing, and deployment pipelines.",
            "slug": "ci-cd-for-machine-learning",
            "source": "db"
          },
          "input_skill": "CI/CD",
          "llm_role": null,
          "roles_from_db": [
            {
              "display_name": "ML Engineer",
              "id": 3,
              "rationale": null,
              "role_archetype": null,
              "slug": "ml-engineer",
              "source": "db"
            }
          ]
        }
      ],
      "input_skill": "CI/CD",
      "matched_via": "alias",
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": null,
      "source_tag": "db",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [
        {
          "alias_text": "Observability",
          "alias_type": "CANONICAL",
          "id": 2527,
          "is_primary": false,
          "match_strategy": "CASE_INSENSITIVE"
        }
      ],
      "canonical": {
        "category_id": 2,
        "display_name": "Observability",
        "id": 1581,
        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "CONCEPT",
        "slug": "observability",
        "sub_category_id": 1187,
        "typical_lifespan": "EVERGREEN",
        "volatility": "STABLE"
      },
      "dimensions": [
        {
          "dimension": {
            "difficulty_hint": "well_known",
            "display_name": "Observability and Operations",
            "id": 143,
            "rationale": "Monitoring, logging, tracing, and operational readiness patterns used to keep cloud platforms supportable. Cloud Architects use this to define what telemetry and operational controls workloads must expose.",
            "slug": "observability-and-operations",
            "source": "db"
          },
          "input_skill": "Observability",
          "llm_role": null,
          "roles_from_db": [
            {
              "display_name": "Cloud Architect",
              "id": 9,
              "rationale": null,
              "role_archetype": null,
              "slug": "cloud-architect",
              "source": "db"
            }
          ]
        }
      ],
      "input_skill": "Observability",
      "matched_via": "alias",
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": null,
      "source_tag": "db",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [
        {
          "alias_text": "DevOps",
          "alias_type": "CANONICAL",
          "id": 1852,
          "is_primary": false,
          "match_strategy": "CASE_INSENSITIVE"
        }
      ],
      "canonical": {
        "category_id": 8,
        "display_name": "DevOps",
        "id": 1216,
        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "METHODOLOGY",
        "slug": "devops",
        "sub_category_id": 922,
        "typical_lifespan": "EVERGREEN",
        "volatility": "STABLE"
      },
      "dimensions": [
        {
          "dimension": {
            "difficulty_hint": "well_known",
            "display_name": "CI/CD Pipeline Platforms",
            "id": 150,
            "rationale": "Systems used to define, run, and maintain automated build and deployment workflows. This cluster is coherent because the role owns delivery automation end to end, including pipeline reliability and promotion logic.",
            "slug": "ci-cd-pipeline-platforms",
            "source": "db"
          },
          "input_skill": "DevSecOps",
          "llm_role": null,
          "roles_from_db": [
            {
              "display_name": "DevOps Engineer",
              "id": 10,
              "rationale": null,
              "role_archetype": null,
              "slug": "devops-engineer",
              "source": "db"
            }
          ]
        },
        {
          "dimension": {
            "difficulty_hint": "well_known",
            "display_name": "Deployment and Release Patterns",
            "id": 140,
            "rationale": "Patterns for promoting changes safely across environments, including rollout, rollback, and release gating strategies. Cloud Architects define these patterns so teams can deploy consistently across the platform.",
            "slug": "deployment-and-release-patterns",
            "source": "db"
          },
          "input_skill": "DevSecOps",
          "llm_role": null,
          "roles_from_db": [
            {
              "display_name": "Cloud Architect",
              "id": 9,
              "rationale": null,
              "role_archetype": null,
              "slug": "cloud-architect",
              "source": "db"
            }
          ]
        },
        {
          "dimension": {
            "difficulty_hint": "well_known",
            "display_name": "Infrastructure as Code",
            "id": 132,
            "rationale": "Declarative provisioning and environment definition tools used to codify cloud infrastructure, repeatable environments, and platform standards. Cloud Architects use these to express reference architectures and guardrails.",
            "slug": "infrastructure-as-code",
            "source": "db"
          },
          "input_skill": "DevSecOps",
          "llm_role": null,
          "roles_from_db": [
            {
              "display_name": "Cloud Architect",
              "id": 9,
              "rationale": null,
              "role_archetype": null,
              "slug": "cloud-architect",
              "source": "db"
            },
            {
              "display_name": "DevOps Engineer",
              "id": 10,
              "rationale": null,
              "role_archetype": null,
              "slug": "devops-engineer",
              "source": "db"
            }
          ]
        }
      ],
      "input_skill": "DevSecOps",
      "matched_via": "embedding_alias",
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": null,
      "source_tag": "db",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [
        {
          "alias_text": "Terraform",
          "alias_type": "CANONICAL",
          "id": 547,
          "is_primary": true,
          "match_strategy": "CASE_INSENSITIVE"
        }
      ],
      "canonical": {
        "category_id": 13,
        "display_name": "Terraform",
        "id": 286,
        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "TOOL",
        "slug": "terraform",
        "sub_category_id": 191,
        "typical_lifespan": "EVERGREEN",
        "volatility": "STABLE"
      },
      "dimensions": [
        {
          "dimension": {
            "difficulty_hint": "well_known",
            "display_name": "Infrastructure \u0026 Security Automation Frameworks",
            "id": 249,
            "rationale": "Frameworks and libraries for provisioning, configuring, and automating cloud security infrastructure.",
            "slug": "infrastructure-security-automation-frameworks",
            "source": "db"
          },
          "input_skill": "Terraform",
          "llm_role": null,
          "roles_from_db": [
            {
              "display_name": "Cloud Security Engineer",
              "id": 23,
              "rationale": null,
              "role_archetype": null,
              "slug": "cloud-security-engineer",
              "source": "db"
            }
          ]
        },
        {
          "dimension": {
            "difficulty_hint": "well_known",
            "display_name": "Infrastructure as Code",
            "id": 132,
            "rationale": "Declarative provisioning and environment definition tools used to codify cloud infrastructure, repeatable environments, and platform standards. Cloud Architects use these to express reference architectures and guardrails.",
            "slug": "infrastructure-as-code",
            "source": "db"
          },
          "input_skill": "Terraform",
          "llm_role": null,
          "roles_from_db": [
            {
              "display_name": "Cloud Architect",
              "id": 9,
              "rationale": null,
              "role_archetype": null,
              "slug": "cloud-architect",
              "source": "db"
            },
            {
              "display_name": "DevOps Engineer",
              "id": 10,
              "rationale": null,
              "role_archetype": null,
              "slug": "devops-engineer",
              "source": "db"
            }
          ]
        },
        {
          "dimension": {
            "difficulty_hint": "well_known",
            "display_name": "Infrastructure as Code for ML",
            "id": 57,
            "rationale": "Tools for provisioning and managing ML infrastructure resources through code.",
            "slug": "infrastructure-as-code-for-ml",
            "source": "db"
          },
          "input_skill": "Terraform",
          "llm_role": null,
          "roles_from_db": [
            {
              "display_name": "ML Engineer",
              "id": 3,
              "rationale": null,
              "role_archetype": null,
              "slug": "ml-engineer",
              "source": "db"
            }
          ]
        }
      ],
      "input_skill": "Terraform",
      "matched_via": "alias",
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": null,
      "source_tag": "db",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [
        {
          "alias_text": "Jenkins",
          "alias_type": "CANONICAL",
          "id": 544,
          "is_primary": true,
          "match_strategy": "CASE_INSENSITIVE"
        }
      ],
      "canonical": {
        "category_id": 13,
        "display_name": "Jenkins",
        "id": 283,
        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "TOOL",
        "slug": "jenkins",
        "sub_category_id": 184,
        "typical_lifespan": "EVERGREEN",
        "volatility": "STABLE"
      },
      "dimensions": [
        {
          "dimension": {
            "difficulty_hint": "well_known",
            "display_name": "CI/CD Pipeline Platforms",
            "id": 150,
            "rationale": "Systems used to define, run, and maintain automated build and deployment workflows. This cluster is coherent because the role owns delivery automation end to end, including pipeline reliability and promotion logic.",
            "slug": "ci-cd-pipeline-platforms",
            "source": "db"
          },
          "input_skill": "Jenkins",
          "llm_role": null,
          "roles_from_db": [
            {
              "display_name": "DevOps Engineer",
              "id": 10,
              "rationale": null,
              "role_archetype": null,
              "slug": "devops-engineer",
              "source": "db"
            }
          ]
        },
        {
          "dimension": {
            "difficulty_hint": "well_known",
            "display_name": "CI/CD for Machine Learning",
            "id": 56,
            "rationale": "Tools and platforms for automating ML model integration, testing, and deployment pipelines.",
            "slug": "ci-cd-for-machine-learning",
            "source": "db"
          },
          "input_skill": "Jenkins",
          "llm_role": null,
          "roles_from_db": [
            {
              "display_name": "ML Engineer",
              "id": 3,
              "rationale": null,
              "role_archetype": null,
              "slug": "ml-engineer",
              "source": "db"
            }
          ]
        }
      ],
      "input_skill": "Jenkins",
      "matched_via": "alias",
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": null,
      "source_tag": "db",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [],
      "canonical": null,
      "dimensions": [],
      "input_skill": "Crossplane",
      "matched_via": null,
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": {
        "derived": {
          "category": "Infrastructure Tools",
          "skill_nature": "TOOL",
          "sub_category": "general",
          "typical_lifespan": "MULTI_YEAR",
          "version_strategy": "UNVERSIONED",
          "volatility": "MEDIUM"
        },
        "enrichment": null,
        "keep_log": [],
        "locked_dimensions": [],
        "merge_log": [],
        "placed": null,
        "relationships": null,
        "skill_id": "crossplane",
        "split_log": [],
        "typed": null,
        "warnings": []
      },
      "source_tag": "llm",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [
        {
          "alias_text": "microservices",
          "alias_type": "CANONICAL",
          "id": 178,
          "is_primary": true,
          "match_strategy": "CASE_INSENSITIVE"
        }
      ],
      "canonical": {
        "category_id": 1,
        "display_name": "microservices",
        "id": 41,
        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "PATTERN",
        "slug": "microservices",
        "sub_category_id": 1,
        "typical_lifespan": "EVERGREEN",
        "volatility": "STABLE"
      },
      "dimensions": [
        {
          "dimension": {
            "difficulty_hint": "well_known",
            "display_name": "Microservices and Distributed Systems",
            "id": 9,
            "rationale": "Architectural patterns for decomposed backend systems and the operational concerns they introduce. Covers service boundaries, consistency tradeoffs, retries, circuit breakers, and distributed coordination.",
            "slug": "microservices-and-distributed-systems",
            "source": "db"
          },
          "input_skill": "Microservices",
          "llm_role": null,
          "roles_from_db": [
            {
              "display_name": "Backend Developer",
              "id": 1,
              "rationale": null,
              "role_archetype": "A Backend Engineer designs, builds, and maintains the server-side logic and data handling that power applications and services. They focus on implementing reliable business functionality, integrating with other systems, and ensuring the backend is scalable, maintainable, and observable.",
              "slug": "backend-engineer",
              "source": "db"
            },
            {
              "display_name": "Node.js Backend Developer",
              "id": 82,
              "rationale": null,
              "role_archetype": "Engineering",
              "slug": "node-backend-developer",
              "source": "db"
            },
            {
              "display_name": "Scala Backend Developer",
              "id": 87,
              "rationale": null,
              "role_archetype": "Engineering",
              "slug": "scala-backend-developer",
              "source": "db"
            }
          ]
        }
      ],
      "input_skill": "Microservices",
      "matched_via": "alias",
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": null,
      "source_tag": "db",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [],
      "canonical": null,
      "dimensions": [],
      "input_skill": "External DNS",
      "matched_via": null,
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": {
        "derived": {
          "category": "Infrastructure Tools",
          "skill_nature": "TOOL",
          "sub_category": "general",
          "typical_lifespan": "MULTI_YEAR",
          "version_strategy": "UNVERSIONED",
          "volatility": "MEDIUM"
        },
        "enrichment": null,
        "keep_log": [],
        "locked_dimensions": [],
        "merge_log": [],
        "placed": null,
        "relationships": null,
        "skill_id": "external-dns",
        "split_log": [],
        "typed": null,
        "warnings": []
      },
      "source_tag": "llm",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [],
      "canonical": null,
      "dimensions": [],
      "input_skill": "Certificate Management",
      "matched_via": null,
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": {
        "derived": {
          "category": "Security Tools",
          "skill_nature": "PRACTICE",
          "sub_category": "general",
          "typical_lifespan": "MULTI_YEAR",
          "version_strategy": "UNVERSIONED",
          "volatility": "MEDIUM"
        },
        "enrichment": null,
        "keep_log": [],
        "locked_dimensions": [],
        "merge_log": [],
        "placed": null,
        "relationships": null,
        "skill_id": "certificate-management",
        "split_log": [],
        "typed": null,
        "warnings": []
      },
      "source_tag": "llm",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [],
      "canonical": null,
      "dimensions": [],
      "input_skill": "Cloud Native",
      "matched_via": null,
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": {
        "derived": {
          "category": "Concepts",
          "skill_nature": "CONCEPT",
          "sub_category": "general",
          "typical_lifespan": "MULTI_YEAR",
          "version_strategy": "UNVERSIONED",
          "volatility": "MEDIUM"
        },
        "enrichment": null,
        "keep_log": [],
        "locked_dimensions": [],
        "merge_log": [],
        "placed": null,
        "relationships": null,
        "skill_id": "cloud-native",
        "split_log": [],
        "typed": null,
        "warnings": []
      },
      "source_tag": "llm",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [
        {
          "alias_text": "high availability",
          "alias_type": "CANONICAL",
          "id": 1309,
          "is_primary": true,
          "match_strategy": "CASE_INSENSITIVE"
        }
      ],
      "canonical": {
        "category_id": 2,
        "display_name": "high availability",
        "id": 764,
        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "CONCEPT",
        "slug": "high-availability",
        "sub_category_id": 535,
        "typical_lifespan": "EVERGREEN",
        "volatility": "STABLE"
      },
      "dimensions": [
        {
          "dimension": {
            "difficulty_hint": "well_known",
            "display_name": "Availability and Disaster Recovery",
            "id": 141,
            "rationale": "Resilience architecture for uptime, failover, backup, and recovery objectives. This cluster is coherent because cloud architects must translate business continuity needs into platform guardrails.",
            "slug": "availability-and-disaster-recovery",
            "source": "db"
          },
          "input_skill": "High Availability",
          "llm_role": null,
          "roles_from_db": [
            {
              "display_name": "Cloud Architect",
              "id": 9,
              "rationale": null,
              "role_archetype": null,
              "slug": "cloud-architect",
              "source": "db"
            }
          ]
        }
      ],
      "input_skill": "High Availability",
      "matched_via": "alias",
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": null,
      "source_tag": "db",
      "was_in_llm_skills": true
    },
    {
      "aliases_in_db": [],
      "canonical": null,
      "dimensions": [],
      "input_skill": "Scalability",
      "matched_via": null,
      "new_alias_persisted": false,
      "new_alias_text": null,
      "new_skill_meta": {
        "derived": {
          "category": "Concepts",
          "skill_nature": "CONCEPT",
          "sub_category": "general",
          "typical_lifespan": "MULTI_YEAR",
          "version_strategy": "UNVERSIONED",
          "volatility": "MEDIUM"
        },
        "enrichment": null,
        "keep_log": [],
        "locked_dimensions": [],
        "merge_log": [],
        "placed": null,
        "relationships": null,
        "skill_id": "scalability",
        "split_log": [],
        "typed": null,
        "warnings": []
      },
      "source_tag": "llm",
      "was_in_llm_skills": true
    }
  ],
  "unmatched_skills": [
    "Service Mesh",
    "GitOps",
    "Traffic Shaping",
    "Crossplane",
    "External DNS",
    "Certificate Management",
    "Cloud Native",
    "Scalability"
  ]
}
API 3 — final-role-output
{
  "chosen_role": {
    "display_name": "Cloud Architect",
    "id": 9,
    "rationale": "Multi-alias tie (4 roles at 1.0) resolved by TIER_B_TITLE: Cloud Engineer",
    "role_archetype": null,
    "slug": "cloud-architect",
    "source": "db"
  },
  "chosen_role_resolution": "in_db",
  "final_input_skills": [
    {
      "skill": "Kubernetes",
      "tag": "in_db"
    },
    {
      "skill": "Docker",
      "tag": "in_db"
    },
    {
      "skill": "Service Mesh",
      "tag": "new"
    },
    {
      "skill": "GitOps",
      "tag": "new"
    },
    {
      "skill": "K8s",
      "tag": "in_db"
    },
    {
      "skill": "Traffic Shaping",
      "tag": "new"
    },
    {
      "skill": "API",
      "tag": "in_db"
    },
    {
      "skill": "CI/CD",
      "tag": "in_db"
    },
    {
      "skill": "Observability",
      "tag": "in_db"
    },
    {
      "skill": "DevSecOps",
      "tag": "in_db"
    },
    {
      "skill": "Terraform",
      "tag": "in_db"
    },
    {
      "skill": "Jenkins",
      "tag": "in_db"
    },
    {
      "skill": "Crossplane",
      "tag": "new"
    },
    {
      "skill": "Microservices",
      "tag": "in_db"
    },
    {
      "skill": "External DNS",
      "tag": "new"
    },
    {
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        "role_dimension_saved": false,
        "roles_from_db": [
          {
            "display_name": "ML Engineer",
            "id": 3,
            "rationale": null,
            "role_archetype": null,
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        "skill_id": 283,
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        "dimension": {
          "difficulty_hint": "well_known",
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          "slug": "microservices-and-distributed-systems",
          "source": "db"
        },
        "dimension_id": 9,
        "input_skill": "Microservices",
        "llm_role": null,
        "matched_chosen_role": false,
        "outcome_line": "Existing dimension (library) \u00b7 Role\u2194dimension skipped (dimension not under chosen role)",
        "role_dimension_saved": false,
        "roles_from_db": [
          {
            "display_name": "Backend Developer",
            "id": 1,
            "rationale": null,
            "role_archetype": "A Backend Engineer designs, builds, and maintains the server-side logic and data handling that power applications and services. They focus on implementing reliable business functionality, integrating with other systems, and ensuring the backend is scalable, maintainable, and observable.",
            "slug": "backend-engineer",
            "source": "db"
          },
          {
            "display_name": "Node.js Backend Developer",
            "id": 82,
            "rationale": null,
            "role_archetype": "Engineering",
            "slug": "node-backend-developer",
            "source": "db"
          },
          {
            "display_name": "Scala Backend Developer",
            "id": 87,
            "rationale": null,
            "role_archetype": "Engineering",
            "slug": "scala-backend-developer",
            "source": "db"
          }
        ],
        "skill_dimension_saved": true,
        "skill_id": 41,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 9,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "Availability and Disaster Recovery",
          "id": 141,
          "rationale": "Resilience architecture for uptime, failover, backup, and recovery objectives. This cluster is coherent because cloud architects must translate business continuity needs into platform guardrails.",
          "slug": "availability-and-disaster-recovery",
          "source": "db"
        },
        "dimension_id": 141,
        "input_skill": "High Availability",
        "llm_role": null,
        "matched_chosen_role": true,
        "outcome_line": "Existing dimension (library) \u00b7 Role\u2194dimension saved",
        "role_dimension_saved": true,
        "roles_from_db": [
          {
            "display_name": "Cloud Architect",
            "id": 9,
            "rationale": null,
            "role_archetype": null,
            "slug": "cloud-architect",
            "source": "db"
          }
        ],
        "skill_dimension_saved": true,
        "skill_id": 764,
        "skill_tag": "in_db",
        "skipped_reason": null
      }
    ],
    "new_skills_created": 0,
    "role_dimension_saved": 0,
    "skill_dimension_saved": 0,
    "skipped": 3
  },
  "planner_output": null,
  "run_id": "6e0a6edf-8fd1-4b19-bbc0-4a132890b96f"
}

LLM Calls

Every model call made for this run, in pipeline order. Click a card to see the model's response.

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