Pipeline run
0bc6d412-5959-4cd3-b93f-ee8ece630445
Pipeline LLM cost (USD)
API 1: $0.0106
API 2: $0.0002
API 3: $0.0000
Total: $0.0108
Client output enrichment
v2 Skill cluster · Nature of work · AI index · Tech stack maturity · Evidence · KRA description
role baseline loaded
sources · ai_index: jd · nature_of_work: jd · tech_stack_maturity: jd
Nature of work
· Backend reliability and observability
Leads design and delivery of complex backend changes, building scalable production features with strong AWS/observability practices, while setting team standards, mentoring engineers, and helping drive technical decisions.
""You build multiple stable, scalable feature changes that can be successfully shipped to customers in production.""
Tech stack maturity
Modern Cloud Native
AWS plus observability strongly indicates a cloud-native backend stack centered on managed services, distributed systems, and production monitoring practices.
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 (6)
AWS
Observability
Software Engineering Best Practices
High Availability
Low Latency
Scalability
Skill cluster (2 dimension groups, role-scoped)
Cloud Platforms
AWS
Cross-cutting / unaligned
Observability
Software Engineering Best Practices
High Availability
Low Latency
Scalability
Show KRA description ↓
• You work on complex issues where analysis of situations or data requires an in-depth evaluation of variable factors. You play a leading role on the team to design and develop major functional changes to existing software systems, or new ones.
• You create functional-level impact and deliver more complex functional changes. You implement activities that generally impact multiple components, processes, your own work, and other units, teams, and projects.
• You design components and complex architectures while solving business problems with simple and straightforward solutions, applying appropriate technologies and software engineering best practices. You lead the design and development of the most complex enhancements.
• You build multiple stable, scalable feature changes that can be successfully shipped to customers in production. Your software contributions in production are the model for highly available, low latency, and efficient software.
• You are a collaborative leader that makes other engineers and team members around you more productive by sharing your knowledge and helping to drive technical decisions. You can communicate complicated concepts simply.
• You drive best practices and set standards for your team. You are a role model for your teams. Your software contributions in production are the model for highly available, low latency, and efficient software.
• You are expected to mentor other engineers on your team.
Signals
Skill
cloud-architect
1.00
Alias
observability-monitoring-engineer
1.00
KRA
full-stack-engineer
0.56
Post-classification
Centroidupdated · n=1169
Alias collision log—
New-role queue—
New skills captured3
New KRA capturedyes
Captured for admin review
Software Engineering Best Practices
↔
Backend Developer
pending
Low Latency
↔
Backend Developer
pending
Scalability
↔
Backend Developer
pending
R&R fragment (sim 0.00)
↔
Backend Developer
pending
• You work on complex issues where analysis of situations or data requires an in-depth evaluation of variable factors. You play a leading role on the team to design and develop major functional change…
Status:
completed
Created: 2026-05-27T15:53:39.579144Z
Updated: 2026-06-12T15:47:09.036046Z
API 3 duration: 23204 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
Backend Developer
domain · Software Engineering CASE DOMAINslug: backend-engineer · id: 1 · source: db
Domain=Software Engineering; The JD centers on designing and developing complex software systems with scalable, low-latency, highly available production services, which best matches a backend/staff software engineer role.
Matched dimensions
Software ArchitectureScalable Production SystemsHigh Availability and Low Latency EngineeringTechnical Leadership and MentoringEngineering Standards and Best Practices
Matched KRAs
design and develop major functional changes to existing software systemsdesign components and complex architectureslead the design and development of the most complex enhancementsbuild multiple stable, scalable feature changesmake other engineers and team members around you more productivedrive best practices and set standards for your teammentor other engineers on your team
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
0
Skipped
Job description
Welcome to Warner Bros. Discovery… the stuff dreams are made of. Who We Are… When we say, “the stuff dreams are made of,” we’re not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD’s vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating what’s next… From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive. Staff Software Engineer - AWS Architecture (Observability Platforms), Bangalore About Warner Bros. Discovery: Warner Bros. Discovery, a premier global media and entertainment company, offers audiences the world's most differentiated and complete portfolio of content, brands and franchises across television, film, streaming and gaming. The new company combines Warner Media’s premium entertainment, sports and news assets with Discovery's leading non-fiction and international entertainment and sports businesses. For more information, please visit www.wbd.com What you’ll do: As Observability engineers you are passionate about using software-based approaches to solve complex data-driven challenges and automate those solutions. Within our organization, you’ll lead efforts aimed at scaling our existing operational data offerings and establish the technical strategy for how we can better equip engineers and leaders with operational intelligence. You’ll build a deep understanding of our digital streaming service and use that knowledge, coupled with your engineering, infrastructure, data and cloud knowledge, to optimize and evolve how we understand our technical ecosystem. To be successful, you’ll need to be deeply technical and capable of holding your own with other strong peers. You possess excellent collaboration and diplomacy skills. You have experience practicing infrastructure-as-code, standing up logging and metrics data pipelines, site reliability engineering, DevOps, and data lake management. In addition, you’ll have strong systems knowledge and troubleshooting abilities. An ideal candidate will be a creative thinker and passionate about technology as well as drive innovation and produce delightful experiences for customers. This person will demonstrate data-driven open minded decision making, have an insatiable curiosity, love to invent and innovate to solve difficult challenges in a fast-paced global environment. If you love solving problems at scale, prefer to build scalable, reliable, and testable software to automate infrastructure management, are an ace troubleshooter, and are deeply technical, then this is the role for you! Roles & Responsibilities: • You work on complex issues where analysis of situations or data requires an in-depth evaluation of variable factors. You play a leading role on the team to design and develop major functional changes to existing software systems, or new ones. • You create functional-level impact and deliver more complex functional changes. You implement activities that generally impact multiple components, processes, your own work, and other units, teams, and projects. • You design components and complex architectures while solving business problems with simple and straightforward solutions, applying appropriate technologies and software engineering best practices. You lead the design and development of the most complex enhancements. • You build multiple stable, scalable feature changes that can be successfully shipped to customers in production. Your software contributions in production are the model for highly available, low latency, and efficient software. • You are a collaborative leader that makes other engineers and team members around you more productive by sharing your knowledge and helping to drive technical decisions. You can communicate complicated concepts simply. • You drive best practices and set standards for your team. You are a role model for your teams. Your software contributions in production are the model for highly available, low latency, and efficient software. • You are expected to mentor other engineers on your team. What to Bring: • At least 12 - 18 years of overall experience in software, systems, and infrastructure. • At least 6 years of experience managing public cloud infrastructure with AWS, including design, implementation, and maintenance of large scale environments. • Experience with a variety of cloud services like OpenSearch, AMP, Kinesis, network, storage etc. • Must have CS fundamentals and a track record of implementing highly reliable automation using any scripting or programming language such as Python/Go. • Strong knowledge and implementation history of Terraform and/or other similar tooling. • Deep understanding of distributed systems, microservice architecture, kafka, logging/metric/tracing platforms (ELK, Prometheus, Grafana, OTEL etc), and security. • Experience with container orchestration technologies such as Kubernetes or AWS EKS is strongly desired. • Experience in working across product, engineering, and analytics teams to evaluate new ideas, discuss technical concepts, create scalable designs, implement new models, and make tradeoffs to remove roadblocks What We Offer: • A Great Place to work • Equal opportunity employer • Fast track growth opportunities How We Get Things Done… This last bit is probably the most important! Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at www.wbd.com/guiding-principles/ along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview.
Skills from this JD
Each row merges API 1 extraction, API 2 library match / v3 orchestration (dimensions + locked dims), and API 3 persistence tags.
AWS
Primary
Library skill
API 3: existing canonical (in_db)
Existing skill (matched library)
Canonical: AWS
id=187
· aws
Aliases — catalog
- AWS (CANONICAL) primary
Context tags (catalog)
API Gateway
AWS CLI
Auto Scaling
CloudFormation
CloudFront
CloudTrail
CloudWatch
Cognito
DynamoDB
EC2
ECS
EKS
Elastic Beanstalk
Elastic Load Balancing
IAM
KMS
Lambda
RDS
Route 53
S3
SNS
SQS
Serverless
VPC
Stored enrichment (catalog DB)
- Category
- Platform
- Sub-category
- Cloud Platform
- Vendor
- Amazon
- License
- other_open
- Year introduced
- 2006
- Confidence
- 0.99
- Version strategy
- NOT_APPLICABLE
Maturity reasoning: AWS is a hiring-pipeline staple: it appears in a large share of cloud/DevOps job descriptions and dominates public cloud market share, with broad certification and vendor ecosystem support.
Skill profile (library / DB)
- Skill nature
- PLATFORM
- Volatility
- STABLE
- Typical lifespan
- EVERGREEN
- Category id
- 9
- Sub-category id
- 46
- Extractable
- True
- Also category
- False
Dimensions (API 2 worklist)
-
Cloud Platforms Catalog dimension db id 20
Library dimension (catalog)
Roles linked in library: .NET Backend Developer, Backend Developer, Cyber Security Engineer, Data Engineer, DevOps Engineer, Fullstack Developer, Go Backend Developer, Java Backend Developer, Kotlin Backend Developer, ML Engineer, MLOps Engineer, Node.js Backend Developer, Python Backend Developer, Scala Backend Developer
-
Cloud Platforms for AI Deployment Catalog dimension db id 211
Library dimension (catalog)
Roles linked in library: AI Engineer
-
Cloud Provider Platforms Catalog dimension db id 131
Library dimension (catalog)
Roles linked in library: Cloud Architect, Cloud Security Engineer
-
Cloud Security Posture Tools Catalog dimension db id 64
Library dimension (catalog)
Roles linked in library: Cloud Security Engineer, Cyber Security Engineer
-
Vendor Product Families Catalog dimension db id 477
Library dimension (catalog)
Roles linked in library: Engineering Manager
API 3 link attempts (this skill)
| Dimension | Skill↔dim | Role↔dim | Outcome |
|---|---|---|---|
|
Cloud Platforms
cloud-platforms
|
✓ | ✓ | Existing dimension (library) · Role↔dimension saved |
|
Cloud Platforms for AI Deployment
cloud-platforms-for-ai-deployment
|
✓ | — | Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role) |
|
Cloud Provider Platforms
cloud-provider-platforms
|
✓ | — | Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role) |
|
Cloud Security Posture Tools
cloud-security-posture-tools
|
✓ | — | Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role) |
|
Vendor Product Families
vendor-product-families
|
✓ | — | 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 skipped (dimension not under chosen role) |
Software Engineering Best Practices
Secondary
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
- Soft Skills
- Sub-category
- general
- Skill nature
- PRACTICE
- Volatility
- MEDIUM
- Typical lifespan
- MULTI_YEAR
- Version strategy
- UNVERSIONED
High Availability
Secondary
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 skipped (dimension not under chosen role) |
Low Latency
Secondary
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
- Architectural Concepts
- Sub-category
- general
- Skill nature
- CONCEPT
- Volatility
- MEDIUM
- Typical lifespan
- MULTI_YEAR
- Version strategy
- UNVERSIONED
Scalability
Secondary
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
- Architectural 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 |
|---|---|---|---|---|---|---|
| AWS | in_db |
Cloud Platforms
cloud-platforms
|
✓ | ✓ | Existing dimension (library) · Role↔dimension saved | |
| AWS | in_db |
Cloud Platforms for AI Deployment
cloud-platforms-for-ai-deployment
|
✓ | — | Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role) | |
| AWS | in_db |
Cloud Provider Platforms
cloud-provider-platforms
|
✓ | — | Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role) | |
| AWS | in_db |
Cloud Security Posture Tools
cloud-security-posture-tools
|
✓ | — | Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role) | |
| AWS | in_db |
Vendor Product Families
vendor-product-families
|
✓ | — | 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 skipped (dimension not under chosen role) | |
| High Availability | in_db |
Availability and Disaster Recovery
availability-and-disaster-recovery
|
✓ | — | Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role) |
Library artifacts (this run)
| Kind | Detail | DB id |
|---|---|---|
| canonical_skill_proposed | Software Engineering Best Practices | type=Soft Skills subtype=general nature=PRACTICE lifespan=MULTI_YEAR | |
| canonical_skill_proposed | Low Latency | type=Architectural Concepts subtype=general nature=CONCEPT lifespan=MULTI_YEAR | |
| canonical_skill_proposed | Scalability | type=Architectural Concepts subtype=general nature=CONCEPT lifespan=MULTI_YEAR |
nano JD Parser — gpt-4.1-nano click to toggle
RoleStaff Software Engineer - AWS Architecture (Observability Platforms)
CompanyWarner Bros. Discovery
ExperienceAt least 12 - 18 years of overall experience in software, systems, and infrastructure.
DomainMedia & Entertainment
Location
Bangalore, India
JD type
pass
Show raw JSON
{
"JD_type": "pass",
"about_company": {
"source_marker": {
"first_5_words": "Warner Bros. Discovery, a premier",
"last_5_words": "entertainment and sports businesses."
},
"text": "Warner Bros. Discovery, a premier global media and entertainment company, offers audiences the world\u0027s most differentiated and complete portfolio of content, brands and franchises across television, film, streaming and gaming. The new company combines Warner Media\u2019s premium entertainment, sports and news assets with Discovery\u0027s leading non-fiction and international entertainment and sports businesses.",
"word_count": 64
},
"certifications": [],
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"roles_and_responsibilities": [
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"bullet_count": 7,
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"heading_was_present": true,
"source_marker": {
"first_5_words": "\u2022 You work on complex",
"last_5_words": "other engineers on your team."
},
"text": "\u2022 You work on complex issues where analysis of situations or data requires an in-depth evaluation of variable factors. You play a leading role on the team to design and develop major functional changes to existing software systems, or new ones.\n\u2022 You create functional-level impact and deliver more complex functional changes. You implement activities that generally impact multiple components, processes, your own work, and other units, teams, and projects.\n\u2022 You design components and complex architectures while solving business problems with simple and straightforward solutions, applying appropriate technologies and software engineering best practices. You lead the design and development of the most complex enhancements.\n\u2022 You build multiple stable, scalable feature changes that can be successfully shipped to customers in production. Your software contributions in production are the model for highly available, low latency, and efficient software.\n\u2022 You are a collaborative leader that makes other engineers and team members around you more productive by sharing your knowledge and helping to drive technical decisions. You can communicate complicated concepts simply.\n\u2022 You drive best practices and set standards for your team. You are a role model for your teams. Your software contributions in production are the model for highly available, low latency, and efficient software.\n\u2022 You are expected to mentor other engineers on your team.",
"word_count": 218
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"urls": [
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"url": "http://www.wbd.com"
},
{
"type": "other",
"url": "http://www.wbd.com/guiding-principles/"
}
]
}
API 1 — extract-from-jd click to toggle
{
"final_skills": [
{
"is_primary": true,
"skill_name": "AWS"
},
{
"is_primary": true,
"skill_name": "Observability"
},
{
"is_primary": false,
"skill_name": "Software Engineering Best Practices"
},
{
"is_primary": false,
"skill_name": "High Availability"
},
{
"is_primary": false,
"skill_name": "Low Latency"
},
{
"is_primary": false,
"skill_name": "Scalability"
}
],
"jd_role": {
"display_name": "Staff Software Engineer - AWS Architecture (Observability Platforms)",
"rationale": null,
"role_aliases": [
"Software Engineer",
"AWS Engineer",
"Observability Engineer"
],
"role_archetype": "Engineering",
"slug": ""
},
"nano_parsed": {
"JD_type": "pass",
"about_company": {
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"word_count": 218
}
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"urls": [
{
"type": "website",
"url": "http://www.wbd.com"
},
{
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"url": "http://www.wbd.com/guiding-principles/"
}
]
},
"rejected": false,
"rejection_reason": null,
"run_id": "0bc6d412-5959-4cd3-b93f-ee8ece630445",
"stage3_signals": {
"alias_found": true,
"alias_match_roles": [
{
"display_name": "Observability / Monitoring Engineer",
"kra_matches": null,
"matched_count": null,
"matched_skills": null,
"role_id": 139,
"score": 1.0,
"slug": "observability-monitoring-engineer",
"total_count": null
}
],
"kra_match_roles": [
{
"display_name": "Fullstack Developer",
"kra_matches": [
{
"kra_text": "Delivers features through CI/CD pipelines using automated tests, staged rollouts, feature flags, and incremental deployments.",
"sentence": "You build multiple stable, scalable feature changes that can be successfully shipped to customers in production.",
"similarity": 0.6145
},
{
"kra_text": "Works closely with product managers and UX designers to translate requirements and wireframes into working software features through iterative development.",
"sentence": "You play a leading role on the team to design and develop major functional changes to existing software systems, or new ones.",
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{
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"sentence": "You lead the design and development of the most complex enhancements.",
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}
],
"matched_count": null,
"matched_skills": null,
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"total_count": null
},
{
"display_name": "Cloud Architect",
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{
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"similarity": 0.5067
},
{
"kra_text": "Conducts architecture reviews, approves technical design documents, and guides engineering teams through cloud migration and modernization projects.",
"sentence": "You lead the design and development of the most complex enhancements.",
"similarity": 0.4913
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{
"kra_text": "Conducts architecture reviews, approves technical design documents, and guides engineering teams through cloud migration and modernization projects.",
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"similarity": 0.4861
}
],
"matched_count": null,
"matched_skills": null,
"role_id": 9,
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},
{
"display_name": "Flutter Developer",
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{
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"similarity": 0.4993
},
{
"kra_text": "collaborate with design, product, and backend teams",
"sentence": "You design components and complex architectures while solving business problems with simple and straightforward solutions, applying appropriate technologies and software engineering best practices.",
"similarity": 0.4753
},
{
"kra_text": "collaborate with design, product, and backend teams",
"sentence": "You lead the design and development of the most complex enhancements.",
"similarity": 0.4747
}
],
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"matched_skills": null,
"role_id": 74,
"score": 0.4831,
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},
{
"display_name": "Frontend Developer",
"kra_matches": [
{
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"similarity": 0.4864
},
{
"kra_text": "Collaborates with UX designers to refine interaction details, animations, responsive breakpoints, and micro-interaction behavior.",
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"similarity": 0.4747
},
{
"kra_text": "Collaborates with UX designers to refine interaction details, animations, responsive breakpoints, and micro-interaction behavior.",
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}
],
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"score": 0.463,
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},
{
"display_name": "DevOps Engineer",
"kra_matches": [
{
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"similarity": 0.4431
},
{
"kra_text": "Collaborates with development teams to improve build processes, reduce deployment friction, containerize applications, and adopt DevOps best practices.",
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{
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],
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}
],
"skill_match_roles": [
{
"display_name": "Cloud Architect",
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"matched_count": 2,
"matched_skills": [
"AWS",
"Observability"
],
"role_id": 9,
"score": 1.0,
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},
{
"display_name": "ML Engineer",
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"matched_count": 1,
"matched_skills": [
"AWS"
],
"role_id": 3,
"score": 0.5,
"slug": "ml-engineer",
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},
{
"display_name": "Cyber Security Engineer",
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"matched_count": 1,
"matched_skills": [
"AWS"
],
"role_id": 5,
"score": 0.5,
"slug": "cybersecurity-engineer",
"total_count": 2
},
{
"display_name": "Data Engineer",
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"matched_count": 1,
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"AWS"
],
"role_id": 2,
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},
{
"display_name": "Backend Developer",
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"matched_count": 1,
"matched_skills": [
"AWS"
],
"role_id": 1,
"score": 0.5,
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}
]
},
"stage4_decision": {
"alias_collision_detected": false,
"case": "DOMAIN",
"chosen_role": {
"display_name": "Backend Developer",
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"matched_count": null,
"matched_skills": null,
"role_id": 1,
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},
"confidence": 0.98,
"is_new_role": false,
"llm2_fired": false,
"llm2_reasoning": null,
"matched_dimensions": [
"Software Architecture",
"Scalable Production Systems",
"High Availability and Low Latency Engineering",
"Technical Leadership and Mentoring",
"Engineering Standards and Best Practices"
],
"matched_kras": [
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"design components and complex architectures",
"lead the design and development of the most complex enhancements",
"build multiple stable, scalable feature changes",
"make other engineers and team members around you more productive",
"drive best practices and set standards for your team",
"mentor other engineers on your team"
],
"matched_skills": [],
"new_role_display_name": null,
"new_role_slug": null,
"queued": false,
"reasoning": "Domain=Software Engineering; The JD centers on designing and developing complex software systems with scalable, low-latency, highly available production services, which best matches a backend/staff software engineer role.",
"sub_role": null
},
"stage5_updates": {
"centroid_n_after": 1169,
"centroid_updated": true,
"collision_log_id": null,
"new_kra_attached": {
"best_kra_similarity": 0.0,
"queue_id": 1226,
"r_and_r_preview": "\u2022 You work on complex issues where analysis of situations or data requires an in-depth evaluation of variable factors. You play a leading role on the team to design and develop major functional change",
"role_display_name": "Backend Developer",
"role_slug": "backend-engineer",
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},
"new_skills_attached": [
{
"is_primary": false,
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},
{
"is_primary": false,
"queue_id": 17064,
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},
{
"is_primary": false,
"queue_id": 17065,
"role_display_name": "Backend Developer",
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}
],
"queue_entry_id": null,
"v3_pipeline_triggered": false,
"v3_role_slug": null,
"v3_run_id": null
}
}
API 2 — extract-details
{
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"is_extractable": true,
"skill_nature": "PLATFORM",
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"typical_lifespan": "EVERGREEN",
"volatility": "STABLE"
},
"matched_via": "alias"
},
{
"alias_persist_skipped_reason": "alias_text already exists for this canonical skill",
"alias_persisted": false,
"existing_alias_id": 2527,
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"matched_canonical": {
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"is_extractable": true,
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"typical_lifespan": "EVERGREEN",
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},
"matched_via": "alias"
},
{
"alias_persist_skipped_reason": "alias_text already exists for this canonical skill",
"alias_persisted": false,
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"is_also_category": false,
"is_extractable": true,
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"matched_via": "alias"
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],
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{
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},
{
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{
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{
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{
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],
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]
},
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},
{
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},
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]
},
{
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},
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},
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}
],
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],
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"display_name": "ML Engineer",
"id": 3,
"rationale": null,
"role_archetype": null,
"slug": "ml-engineer",
"source": "db"
},
{
"display_name": "MLOps Engineer",
"id": 16,
"rationale": null,
"role_archetype": null,
"slug": "ml-ops-engineer",
"source": "db"
},
{
"display_name": "Node.js Backend Developer",
"id": 82,
"rationale": null,
"role_archetype": "Engineering",
"slug": "node-backend-developer",
"source": "db"
},
{
"display_name": "Python Backend Developer",
"id": 80,
"rationale": null,
"role_archetype": "Engineering",
"slug": "python-backend-developer",
"source": "db"
},
{
"display_name": "Scala Backend Developer",
"id": 87,
"rationale": null,
"role_archetype": "Engineering",
"slug": "scala-backend-developer",
"source": "db"
}
]
},
{
"dimension": {
"difficulty_hint": "well_known",
"display_name": "Cloud Platforms for AI Deployment",
"id": 211,
"rationale": "Major cloud services that provide infrastructure and managed services for AI workloads.",
"slug": "cloud-platforms-for-ai-deployment",
"source": "db"
},
"input_skill": "AWS",
"llm_role": null,
"roles_from_db": [
{
"display_name": "AI Engineer",
"id": 13,
"rationale": null,
"role_archetype": null,
"slug": "ai-engineer",
"source": "db"
}
]
},
{
"dimension": {
"difficulty_hint": "well_known",
"display_name": "Cloud Provider Platforms",
"id": 131,
"rationale": "Major cloud platforms and their core service ecosystems used to design target-state architectures, choose deployment boundaries, and evaluate managed capabilities. This is the primary substrate for cloud architecture decisions.",
"slug": "cloud-provider-platforms",
"source": "db"
},
"input_skill": "AWS",
"llm_role": null,
"roles_from_db": [
{
"display_name": "Cloud Architect",
"id": 9,
"rationale": null,
"role_archetype": null,
"slug": "cloud-architect",
"source": "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": "Cloud Security Posture Tools",
"id": 64,
"rationale": "Cloud-native security platforms used to assess misconfiguration, workload exposure, and cloud control coverage. This dimension includes the major CNAPP/CSPM/CWPP vendors and cloud security services the role reviews and tunes.",
"slug": "cloud-security-posture-tools",
"source": "db"
},
"input_skill": "AWS",
"llm_role": null,
"roles_from_db": [
{
"display_name": "Cloud Security Engineer",
"id": 23,
"rationale": null,
"role_archetype": null,
"slug": "cloud-security-engineer",
"source": "db"
},
{
"display_name": "Cyber Security Engineer",
"id": 5,
"rationale": null,
"role_archetype": null,
"slug": "cybersecurity-engineer",
"source": "db"
}
]
},
{
"dimension": {
"difficulty_hint": "well_known",
"display_name": "Vendor Product Families",
"id": 477,
"rationale": "Coordinate usage, licensing, and architecture decisions for major vendor software and cloud product families.",
"slug": "vendor-product-families",
"source": "db"
},
"input_skill": "AWS",
"llm_role": null,
"roles_from_db": [
{
"display_name": "Engineering Manager",
"id": 121,
"rationale": null,
"role_archetype": null,
"slug": "engineering-manager",
"source": "db"
}
]
}
],
"input_skill": "AWS",
"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": [],
"canonical": null,
"dimensions": [],
"input_skill": "Software Engineering Best Practices",
"matched_via": null,
"new_alias_persisted": false,
"new_alias_text": null,
"new_skill_meta": {
"derived": {
"category": "Soft Skills",
"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": "software-engineering-best-practices",
"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": "Low Latency",
"matched_via": null,
"new_alias_persisted": false,
"new_alias_text": null,
"new_skill_meta": {
"derived": {
"category": "Architectural 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": "low-latency",
"split_log": [],
"typed": null,
"warnings": []
},
"source_tag": "llm",
"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": "Architectural 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": [
"Software Engineering Best Practices",
"Low Latency",
"Scalability"
]
}
API 3 — final-role-output
{
"chosen_role": {
"display_name": "Backend Developer",
"id": 1,
"rationale": "Domain=Software Engineering; The JD centers on designing and developing complex software systems with scalable, low-latency, highly available production services, which best matches a backend/staff software engineer role.",
"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"
},
"chosen_role_resolution": "in_db",
"final_input_skills": [
{
"skill": "AWS",
"tag": "in_db"
},
{
"skill": "Observability",
"tag": "in_db"
},
{
"skill": "Software Engineering Best Practices",
"tag": "new"
},
{
"skill": "High Availability",
"tag": "in_db"
},
{
"skill": "Low Latency",
"tag": "new"
},
{
"skill": "Scalability",
"tag": "new"
}
],
"llm_cost_api1_usd": null,
"llm_cost_api2_usd": null,
"llm_cost_api3_usd": null,
"llm_cost_total_usd": null,
"persistence": {
"items": [
{
"chosen_role_id": 1,
"dimension": {
"difficulty_hint": "well_known",
"display_name": "Cloud Platforms",
"id": 20,
"rationale": "Underlying cloud providers that host the managed services or infrastructure used by the role, such as AWS, Azure, and GCP.",
"slug": "cloud-platforms",
"source": "db"
},
"dimension_id": 20,
"input_skill": "AWS",
"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": ".NET Backend Developer",
"id": 83,
"rationale": null,
"role_archetype": "Engineering",
"slug": "dotnet-backend-developer",
"source": "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": "Cyber Security Engineer",
"id": 5,
"rationale": null,
"role_archetype": null,
"slug": "cybersecurity-engineer",
"source": "db"
},
{
"display_name": "Data Engineer",
"id": 2,
"rationale": null,
"role_archetype": null,
"slug": "data-engineer",
"source": "db"
},
{
"display_name": "DevOps Engineer",
"id": 10,
"rationale": null,
"role_archetype": null,
"slug": "devops-engineer",
"source": "db"
},
{
"display_name": "Fullstack Developer",
"id": 15,
"rationale": null,
"role_archetype": null,
"slug": "full-stack-engineer",
"source": "db"
},
{
"display_name": "Go Backend Developer",
"id": 81,
"rationale": null,
"role_archetype": "Engineering",
"slug": "go-backend-developer",
"source": "db"
},
{
"display_name": "Java Backend Developer",
"id": 79,
"rationale": null,
"role_archetype": "Engineering",
"slug": "java-backend-developer",
"source": "db"
},
{
"display_name": "Kotlin Backend Developer",
"id": 84,
"rationale": null,
"role_archetype": "Engineering",
"slug": "kotlin-server-backend-developer",
"source": "db"
},
{
"display_name": "ML Engineer",
"id": 3,
"rationale": null,
"role_archetype": null,
"slug": "ml-engineer",
"source": "db"
},
{
"display_name": "MLOps Engineer",
"id": 16,
"rationale": null,
"role_archetype": null,
"slug": "ml-ops-engineer",
"source": "db"
},
{
"display_name": "Node.js Backend Developer",
"id": 82,
"rationale": null,
"role_archetype": "Engineering",
"slug": "node-backend-developer",
"source": "db"
},
{
"display_name": "Python Backend Developer",
"id": 80,
"rationale": null,
"role_archetype": "Engineering",
"slug": "python-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": 187,
"skill_tag": "in_db",
"skipped_reason": null
},
{
"chosen_role_id": 1,
"dimension": {
"difficulty_hint": "well_known",
"display_name": "Cloud Platforms for AI Deployment",
"id": 211,
"rationale": "Major cloud services that provide infrastructure and managed services for AI workloads.",
"slug": "cloud-platforms-for-ai-deployment",
"source": "db"
},
"dimension_id": 211,
"input_skill": "AWS",
"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": "AI Engineer",
"id": 13,
"rationale": null,
"role_archetype": null,
"slug": "ai-engineer",
"source": "db"
}
],
"skill_dimension_saved": true,
"skill_id": 187,
"skill_tag": "in_db",
"skipped_reason": null
},
{
"chosen_role_id": 1,
"dimension": {
"difficulty_hint": "well_known",
"display_name": "Cloud Provider Platforms",
"id": 131,
"rationale": "Major cloud platforms and their core service ecosystems used to design target-state architectures, choose deployment boundaries, and evaluate managed capabilities. This is the primary substrate for cloud architecture decisions.",
"slug": "cloud-provider-platforms",
"source": "db"
},
"dimension_id": 131,
"input_skill": "AWS",
"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": "Cloud Architect",
"id": 9,
"rationale": null,
"role_archetype": null,
"slug": "cloud-architect",
"source": "db"
},
{
"display_name": "Cloud Security Engineer",
"id": 23,
"rationale": null,
"role_archetype": null,
"slug": "cloud-security-engineer",
"source": "db"
}
],
"skill_dimension_saved": true,
"skill_id": 187,
"skill_tag": "in_db",
"skipped_reason": null
},
{
"chosen_role_id": 1,
"dimension": {
"difficulty_hint": "well_known",
"display_name": "Cloud Security Posture Tools",
"id": 64,
"rationale": "Cloud-native security platforms used to assess misconfiguration, workload exposure, and cloud control coverage. This dimension includes the major CNAPP/CSPM/CWPP vendors and cloud security services the role reviews and tunes.",
"slug": "cloud-security-posture-tools",
"source": "db"
},
"dimension_id": 64,
"input_skill": "AWS",
"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": "Cloud Security Engineer",
"id": 23,
"rationale": null,
"role_archetype": null,
"slug": "cloud-security-engineer",
"source": "db"
},
{
"display_name": "Cyber Security Engineer",
"id": 5,
"rationale": null,
"role_archetype": null,
"slug": "cybersecurity-engineer",
"source": "db"
}
],
"skill_dimension_saved": true,
"skill_id": 187,
"skill_tag": "in_db",
"skipped_reason": null
},
{
"chosen_role_id": 1,
"dimension": {
"difficulty_hint": "well_known",
"display_name": "Vendor Product Families",
"id": 477,
"rationale": "Coordinate usage, licensing, and architecture decisions for major vendor software and cloud product families.",
"slug": "vendor-product-families",
"source": "db"
},
"dimension_id": 477,
"input_skill": "AWS",
"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": "Engineering Manager",
"id": 121,
"rationale": null,
"role_archetype": null,
"slug": "engineering-manager",
"source": "db"
}
],
"skill_dimension_saved": true,
"skill_id": 187,
"skill_tag": "in_db",
"skipped_reason": null
},
{
"chosen_role_id": 1,
"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"
},
"dimension_id": 143,
"input_skill": "Observability",
"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": "Cloud Architect",
"id": 9,
"rationale": null,
"role_archetype": null,
"slug": "cloud-architect",
"source": "db"
}
],
"skill_dimension_saved": true,
"skill_id": 1581,
"skill_tag": "in_db",
"skipped_reason": null
},
{
"chosen_role_id": 1,
"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": false,
"outcome_line": "Existing dimension (library) \u00b7 Role\u2194dimension skipped (dimension not under chosen role)",
"role_dimension_saved": false,
"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": 0
},
"planner_output": null,
"run_id": "0bc6d412-5959-4cd3-b93f-ee8ece630445"
}
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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