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Pipeline run

67e1f345-2f5d-4710-8f21-e459dd936ea9

Pipeline LLM cost (USD)
API 1: $0.0083 API 2: $0.0000 API 3: $0.0000 Total: $0.0083

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 · End-to-end feature delivery
Build customer-facing UI prototypes, marketplace integrations, reports and ML-driven visualizations, then ship and maintain full-stack features and fixes using DynamoDB and AWS deployment frameworks.
"“Building User Interfaces - Prototypes of user interfaces that the sales team will use to demonstrate the product during customer demos”"
Tech stack maturity
Modern Cloud Native
The listed skills center on AWS infrastructure-as-code and serverless tooling, which are characteristic of modern cloud-native fullstack development.
AI index (0 = no AI use, 5 = totally AI-dependent · v2.1)
0.20 / 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): ML
Evidence — skills matched in JD (5)
DynamoDB AWS CDK AWS CloudFormation Serverless Framework Terraform
Skill cluster (2 dimension groups, role-scoped)
Infrastructure as Code
AWS CDK AWS CloudFormation Terraform
Cross-cutting / unaligned
DynamoDB Serverless Framework
Show KRA description ↓
• Building User Interfaces - Prototypes of user interfaces that the sales team will use to demonstrate the product during customer demos • Accelerating customer onboarding - building marketplace integrations that make it simpler for prospects to start using Totogi immediately • Building visualizations and generating insights - Reports and ML-driven insights that enable new customers to experience the power of Totogi’s multi-tenant Charging-as-a-Service platform • Developing new products or maintaining existing products • Fixing bugs or making minor feature upgrades • Following strict product specs or development frameworks Creating customized product prototypes that win over our customers by showing them what is possible with Totogi. • At least 3 years of experience as a full-stack engineer • Have built at least 2 applications using DynamoDB for storage • Have written scripts using CDK, CloudFormation, serverless.com, Terraform, or similar frameworks to deploy at least 2 applications

Signals

Skill cloud-architect
0.80
Alias backend-engineer
1.00
KRA web-developer
0.48

Post-classification

Centroidupdated · n=331
Alias collision log
New-role queue
New skills captured1
New KRA capturedyes

Captured for admin review

DynamoDB primary Fullstack Developer pending
R&R fragment (sim 0.00) Fullstack Developer pending

• Building User Interfaces - Prototypes of user interfaces that the sales team will use to demonstrate the product during customer demos • Accelerating customer onboarding - building marketplace integ…

Status: completed Created: 2026-05-27T14:53:01.612017Z Updated: 2026-06-12T17:07:36.503638Z API 3 duration: 8406 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

Fullstack Developer

domain · Software Engineering CASE DOMAIN

slug: full-stack-engineer · id: 15 · source: db

Domain=Software Engineering; The JD explicitly asks for a full-stack engineer and describes end-to-end product prototyping, UI building, integrations, and deployment work.

Matched skills

full-stack engineerDynamoDBCDKCloudFormationserverless.comTerraformcustomer demosmarketplace integrationsReportsML-driven insightsmulti-tenant Charging-as-a-Service platform

Matched dimensions

Full-Stack Product EngineeringUI Prototyping for Sales DemosCustomer Onboarding IntegrationsData Visualization and InsightsCloud Application Deployment

Matched KRAs

Building User InterfacesAccelerating customer onboardingBuilding visualizations and generating insightsDeveloping new products or maintaining existing productsFixing bugs or making minor feature upgradesCreating customized product prototypes that win over customers

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
1
Skipped

Job description

Crossover is the world's #1 source of full-time remote jobs. Our clients offer top-tier pay for top-tier talent. We're recruiting this role for our client, Totogi. Have you got what it takes?

Are you a full-stack engineer who is sick of adhering to the same product specs and rigid development frameworks over and over again? Is losing your creative edge and the flexibility to choose the best tools available one of your greatest fears? Well lighten up, because Totogi has a role that allows you to keep your creative juices flowing and your problem-solving skills sharp.

Totogi is a software company redefining the rules of the telecommunications industry by lifting it into the public cloud. We empower CSPs through 100% cloud-native, API-driven solutions that facilitate integration with legacy systems, implement new features and services in minutes instead of months, and deliver a BSS that generates 10x performance at a tenth of the cost.

In this role, you will flex your creative muscles to develop beautiful, functional, and unique prototypes that help our customers understand the value Totogi can add to their business. You will play a key role in disrupting the monolithic telco industry, and you don’t even need any telco experience to do it!

What You Will Be Doing

• Building User Interfaces - Prototypes of user interfaces that the sales team will use to demonstrate the product during customer demos
• Accelerating customer onboarding - building marketplace integrations that make it simpler for prospects to start using Totogi immediately
• Building visualizations and generating insights - Reports and ML-driven insights that enable new customers to experience the power of Totogi’s multi-tenant Charging-as-a-Service platform


What You Won’t Be Doing

• Developing new products or maintaining existing products
• Fixing bugs or making minor feature upgrades
• Following strict product specs or development frameworks


Back End Developer Key Responsibilities

Creating customized product prototypes that win over our customers by showing them what is possible with Totogi.

Basic Requirements

• At least 3 years of experience as a full-stack engineer
• Have built at least 2 applications using DynamoDB for storage
• Have written scripts using CDK, CloudFormation, serverless.com, Terraform, or similar frameworks to deploy at least 2 applications


About Totogi

Totogi is focused on building telco software for the public cloud and is completely redefining how carriers engage with their subscribers to drive customer love! We are a product-driven telco software company made up of some of the best minds from the telecoms industry and the brightest engineering talent across the globe. Change the game with us.

There is so much to cover for this exciting role, and space here is limited. Hit the Apply button if you found this interesting and want to learn more. We look forward to meeting you!

Working with Crossover

This is a full-time (40 hours per week), long-term position. The position is immediately available and requires entering into an independent contractor agreement with Crossover. The compensation level for this role is $50 USD/hour, which equates to $100,000 USD/year assuming 40 hours per week and 50 weeks per year. The payment period is weekly. Consult www.crossover.com/help-and-faqs for more details on this topic.

What to expect next:

• You will receive an email with a link to start your self-paced, online job application.
• Our hiring platform will guide you through a series of online “screening” assessments to check for basic job fit, job-related skills, and finally a few real-world job-specific assignments.


Important! If you do not receive an email from us:

• First, emails may take up to 15 minutes to send, refresh and check again.
• Second, check your spam and junk folders for an email from Crossover.com, mark as “Not Spam” since you will receive other emails as well.
• Third, we will send to whatever email account you indicated on the Apply form - by default, that is the email address you use as your LinkedIn username and it might be different than the one you have already checked.
• If all else fails, just reset your password by visiting https://www.crossover.com/auth/password-recovery if you already applied using LinkedIn EasyApply.
 Crossover Job Code: LJ-4859-IN-Bengalur-BackEndDevelop.015

Skills from this JD

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

DynamoDB Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: Amazon DynamoDB id=93 · amazon-dynamodb

Aliases — catalog

  • Amazon DynamoDB (CANONICAL) primary

Context tags (catalog)

AWS SDK DAX GSI LSI NoSQL Streams TTL boto3 conditional writes on-demand capacity partition key provisioned throughput secondary index sort key transactions

Stored enrichment (catalog DB)

Category
Service
Sub-category
Managed Nosql Database Service
Vendor
Amazon Web Services
License
proprietary
Year introduced
2012
Confidence
0.98
Version strategy
NOT_APPLICABLE

Maturity reasoning: Commonly listed in cloud/backend job descriptions and widely used on AWS; strong vendor adoption and active ecosystem signal broad market demand.

Skill profile (library / DB)

Skill nature
CLOUD_SERVICE
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
11
Sub-category id
55
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • NoSQL Databases Catalog dimension db id 19

    Library dimension (catalog)

    Roles linked in library: Backend Developer

API 3 link attempts (this skill)

Dimension Skill↔dim Role↔dim Outcome
NoSQL Databases
nosql-databases
Skipped — no persistable v3 meta for new skill
skill_not_in_db_v3_proposed
AWS CDK Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: AWS CDK id=719 · aws-cdk

Aliases — catalog

  • AWS CDK (CANONICAL) primary

Context tags (catalog)

AWS services C# CDK CLI CDK Pipelines CloudFormation CodePipeline ECS IAM Java Lambda Python S3 TypeScript VPC best practices constructs deploy deployment infrastructure as code jsii multi-account resource provisioning serverless stack stacks synth

Stored enrichment (catalog DB)

Category
Framework
Sub-category
Infrastructure As Code Framework
Vendor
Amazon
License
apache_2
Year introduced
2019
Confidence
0.90
Version strategy
NOT_APPLICABLE

Maturity reasoning: AWS CDK appears in many cloud/IaC job postings, but Terraform still dominates most JD stacks; AWS continues active investment and feature releases, signaling growing but not universal adoption.

Skill profile (library / DB)

Skill nature
FRAMEWORK
Volatility
EMERGING
Typical lifespan
EVERGREEN
Category id
5
Sub-category id
145
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

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 skipped (dimension not under chosen role)
AWS CloudFormation Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: AWS CloudFormation id=288 · aws-cloudformation

Aliases — catalog

  • AWS CloudFormation (CANONICAL) primary

Context tags (catalog)

AWS CLI AWS SAM Auto Scaling CDK Change Sets Conditions EC2 IAM JSON Lambda Mappings Nested Stacks Outputs Parameters Rollback S3 SAM Stacks Terraform YAML cfn-lint change set cross-stack references drift detection nested stacks stack

Stored enrichment (catalog DB)

Category
Service
Sub-category
Infrastructure As Code Service
Vendor
Amazon Web Services
License
proprietary
Year introduced
2011
Confidence
0.90
Version strategy
NOT_APPLICABLE

Maturity reasoning: Common IaC skill in AWS job postings and widely used for provisioning; AWS continues to maintain and promote CloudFormation alongside newer tools like CDK, indicating strong market presence.

Skill profile (library / DB)

Skill nature
CLOUD_SERVICE
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
11
Sub-category id
181
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • 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 as Code
infrastructure-as-code
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Infrastructure as Code for ML
infrastructure-as-code-for-ml
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Serverless Framework Primary Library skill API 3: existing canonical (in_db) Existing skill (matched library)
Canonical: Serverless Framework id=800 · serverless-framework

Aliases — catalog

  • Serverless Framework (CANONICAL) primary

Context tags (catalog)

API Gateway AWS Lambda CI/CD CloudFormation DynamoDB IAM roles S3 SAM Step Functions YAML cold start deployment stages event-driven microservices serverless.yml

Stored enrichment (catalog DB)

Category
Framework
Sub-category
Infrastructure As Code Framework
Vendor
Serverless, Inc.
License
mit
Year introduced
2015
Confidence
0.95
Version strategy
NOT_APPLICABLE

Maturity reasoning: Commonly listed in cloud/IaC job descriptions for AWS Lambda deployments; strong GitHub usage and vendor ecosystem support indicate broad adoption, though often alongside newer tools like SST/CDK.

Skill profile (library / DB)

Skill nature
FRAMEWORK
Volatility
STABLE
Typical lifespan
EVERGREEN
Category id
5
Sub-category id
145
Extractable
True
Also category
False

Dimensions (API 2 worklist)

  • 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
Infrastructure as Code
infrastructure-as-code
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
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 skipped (dimension not under chosen role)
Infrastructure as Code for ML
infrastructure-as-code-for-ml
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)

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
DynamoDB new
NoSQL Databases
nosql-databases
Skipped — no persistable v3 meta for new skill skill_not_in_db_v3_proposed
AWS CDK in_db
Infrastructure & Security Automation Frameworks
infrastructure-security-automation-frameworks
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
AWS CDK in_db
Infrastructure as Code
infrastructure-as-code
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
AWS CloudFormation in_db
Infrastructure as Code
infrastructure-as-code
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
AWS CloudFormation in_db
Infrastructure as Code for ML
infrastructure-as-code-for-ml
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
Serverless Framework in_db
Infrastructure as Code
infrastructure-as-code
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)
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 skipped (dimension not under chosen role)
Terraform in_db
Infrastructure as Code for ML
infrastructure-as-code-for-ml
Existing dimension (library) · Role↔dimension skipped (dimension not under chosen role)

Library artifacts (this run)

Kind Detail DB id
dimension_skill_link_proposed DynamoDB ↔ NoSQL Databases
nano JD Parser — gpt-4.1-nano click to toggle
RoleFull-Stack Engineer
CompanyTotogi
ExperienceAt least 3 years of experience as a full-stack engineer
CTC{'max': 100000, 'min': 100000, 'raw': '$50 USD/hour', 'period': 'annual', 'currency': 'USD'}
DomainSoftware & SaaS Products
Location Bengaluru, India (remote)
JD type pass
Show raw JSON
{
  "JD_type": "pass",
  "about_company": {
    "source_marker": {
      "first_5_words": "Totogi is focused on building",
      "last_5_words": "the game with us."
    },
    "text": "Totogi is focused on building telco software for the public cloud and is completely redefining how carriers engage with their subscribers to drive customer love! We are a product-driven telco software company made up of some of the best minds from the telecoms industry and the brightest engineering talent across the globe. Change the game with us.",
    "word_count": 64
  },
  "certifications": [],
  "company_name": "Totogi",
  "ctc": {
    "currency": "USD",
    "max": 100000,
    "min": 100000,
    "period": "annual",
    "raw": "$50 USD/hour"
  },
  "domain": {
    "primary": {
      "aliases": [
        "SaaS",
        "Product Companies"
      ],
      "domain": "Software \u0026 SaaS Products"
    },
    "secondary": null
  },
  "education": [],
  "experience": {
    "max": null,
    "min": 3,
    "raw": "At least 3 years of experience as a full-stack engineer"
  },
  "job_locations": [
    {
      "aliases": [
        "Bangalore"
      ],
      "city": "Bengaluru",
      "country": "India",
      "state": null,
      "work_mode": "remote"
    }
  ],
  "role": "Full-Stack Engineer",
  "role_aliases": [
    "Full Stack Developer",
    "Software Engineer",
    "Backend Developer"
  ],
  "role_archetype": "Engineering",
  "roles_and_responsibilities": [
    {
      "bullet_count": 3,
      "heading": "What You Will Be Doing",
      "heading_was_present": true,
      "source_marker": {
        "first_5_words": "What You Will Be Doing",
        "last_5_words": "Charging-as-a-Service platform"
      },
      "text": "\u2022 Building User Interfaces - Prototypes of user interfaces that the sales team will use to demonstrate the product during customer demos\n\u2022 Accelerating customer onboarding - building marketplace integrations that make it simpler for prospects to start using Totogi immediately\n\u2022 Building visualizations and generating insights - Reports and ML-driven insights that enable new customers to experience the power of Totogi\u2019s multi-tenant Charging-as-a-Service platform",
      "word_count": 56
    },
    {
      "bullet_count": 3,
      "heading": "What You Won\u2019t Be Doing",
      "heading_was_present": true,
      "source_marker": {
        "first_5_words": "What You Won\u2019t Be Doing",
        "last_5_words": "development frameworks"
      },
      "text": "\u2022 Developing new products or maintaining existing products\n\u2022 Fixing bugs or making minor feature upgrades\n\u2022 Following strict product specs or development frameworks",
      "word_count": 27
    },
    {
      "bullet_count": 0,
      "heading": "Back End Developer Key Responsibilities",
      "heading_was_present": true,
      "source_marker": {
        "first_5_words": "Back End Developer Key Responsibilities",
        "last_5_words": "possible with Totogi."
      },
      "text": "Creating customized product prototypes that win over our customers by showing them what is possible with Totogi.",
      "word_count": 19
    },
    {
      "bullet_count": 3,
      "heading": "Basic Requirements",
      "heading_was_present": true,
      "source_marker": {
        "first_5_words": "Basic Requirements",
        "last_5_words": "to deploy at least 2 applications"
      },
      "text": "\u2022 At least 3 years of experience as a full-stack engineer\n\u2022 Have built at least 2 applications using DynamoDB for storage\n\u2022 Have written scripts using CDK, CloudFormation, serverless.com, Terraform, or similar frameworks to deploy at least 2 applications",
      "word_count": 43
    }
  ],
  "urls": [
    {
      "type": "website",
      "url": "https://www.crossover.com/help-and-faqs"
    },
    {
      "type": "website",
      "url": "https://www.crossover.com/auth/password-recovery"
    }
  ]
}
API 1 — extract-from-jd click to toggle
{
  "final_skills": [
    {
      "is_primary": true,
      "skill_name": "DynamoDB"
    },
    {
      "is_primary": true,
      "skill_name": "AWS CDK"
    },
    {
      "is_primary": true,
      "skill_name": "AWS CloudFormation"
    },
    {
      "is_primary": true,
      "skill_name": "Serverless Framework"
    },
    {
      "is_primary": true,
      "skill_name": "Terraform"
    }
  ],
  "jd_role": {
    "display_name": "Full-Stack Engineer",
    "rationale": null,
    "role_aliases": [
      "Full Stack Developer",
      "Software Engineer",
      "Backend Developer"
    ],
    "role_archetype": "Engineering",
    "slug": ""
  },
  "nano_parsed": {
    "JD_type": "pass",
    "about_company": {
      "source_marker": {
        "first_5_words": "Totogi is focused on building",
        "last_5_words": "the game with us."
      },
      "text": "Totogi is focused on building telco software for the public cloud and is completely redefining how carriers engage with their subscribers to drive customer love! We are a product-driven telco software company made up of some of the best minds from the telecoms industry and the brightest engineering talent across the globe. Change the game with us.",
      "word_count": 64
    },
    "certifications": [],
    "company_name": "Totogi",
    "ctc": {
      "currency": "USD",
      "max": 100000,
      "min": 100000,
      "period": "annual",
      "raw": "$50 USD/hour"
    },
    "domain": {
      "primary": {
        "aliases": [
          "SaaS",
          "Product Companies"
        ],
        "domain": "Software \u0026 SaaS Products"
      },
      "secondary": null
    },
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    "experience": {
      "max": null,
      "min": 3,
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        "city": "Bengaluru",
        "country": "India",
        "state": null,
        "work_mode": "remote"
      }
    ],
    "role": "Full-Stack Engineer",
    "role_aliases": [
      "Full Stack Developer",
      "Software Engineer",
      "Backend Developer"
    ],
    "role_archetype": "Engineering",
    "roles_and_responsibilities": [
      {
        "bullet_count": 3,
        "heading": "What You Will Be Doing",
        "heading_was_present": true,
        "source_marker": {
          "first_5_words": "What You Will Be Doing",
          "last_5_words": "Charging-as-a-Service platform"
        },
        "text": "\u2022 Building User Interfaces - Prototypes of user interfaces that the sales team will use to demonstrate the product during customer demos\n\u2022 Accelerating customer onboarding - building marketplace integrations that make it simpler for prospects to start using Totogi immediately\n\u2022 Building visualizations and generating insights - Reports and ML-driven insights that enable new customers to experience the power of Totogi\u2019s multi-tenant Charging-as-a-Service platform",
        "word_count": 56
      },
      {
        "bullet_count": 3,
        "heading": "What You Won\u2019t Be Doing",
        "heading_was_present": true,
        "source_marker": {
          "first_5_words": "What You Won\u2019t Be Doing",
          "last_5_words": "development frameworks"
        },
        "text": "\u2022 Developing new products or maintaining existing products\n\u2022 Fixing bugs or making minor feature upgrades\n\u2022 Following strict product specs or development frameworks",
        "word_count": 27
      },
      {
        "bullet_count": 0,
        "heading": "Back End Developer Key Responsibilities",
        "heading_was_present": true,
        "source_marker": {
          "first_5_words": "Back End Developer Key Responsibilities",
          "last_5_words": "possible with Totogi."
        },
        "text": "Creating customized product prototypes that win over our customers by showing them what is possible with Totogi.",
        "word_count": 19
      },
      {
        "bullet_count": 3,
        "heading": "Basic Requirements",
        "heading_was_present": true,
        "source_marker": {
          "first_5_words": "Basic Requirements",
          "last_5_words": "to deploy at least 2 applications"
        },
        "text": "\u2022 At least 3 years of experience as a full-stack engineer\n\u2022 Have built at least 2 applications using DynamoDB for storage\n\u2022 Have written scripts using CDK, CloudFormation, serverless.com, Terraform, or similar frameworks to deploy at least 2 applications",
        "word_count": 43
      }
    ],
    "urls": [
      {
        "type": "website",
        "url": "https://www.crossover.com/help-and-faqs"
      },
      {
        "type": "website",
        "url": "https://www.crossover.com/auth/password-recovery"
      }
    ]
  },
  "rejected": false,
  "rejection_reason": null,
  "run_id": "67e1f345-2f5d-4710-8f21-e459dd936ea9",
  "stage3_signals": {
    "alias_found": true,
    "alias_match_roles": [
      {
        "display_name": "Backend Developer",
        "kra_matches": null,
        "matched_count": null,
        "matched_skills": null,
        "role_id": 1,
        "score": 1.0,
        "slug": "backend-engineer",
        "total_count": null
      },
      {
        "display_name": "Fullstack Developer",
        "kra_matches": null,
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        "matched_skills": null,
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      }
    ],
    "kra_match_roles": [
      {
        "display_name": "Web Developer",
        "kra_matches": [
          {
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          {
            "kra_text": "maintain existing web features",
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            "similarity": 0.4791
          },
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            "sentence": "Following strict product specs or development frameworks",
            "similarity": 0.4506
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        ],
        "matched_count": null,
        "matched_skills": null,
        "role_id": 25,
        "score": 0.4794,
        "slug": "web-developer",
        "total_count": null
      },
      {
        "display_name": ".NET Backend Developer",
        "kra_matches": [
          {
            "kra_text": "backend code refactoring and maintenance",
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            "similarity": 0.5288
          },
          {
            "kra_text": "service interface design and implementation",
            "sentence": "Building User Interfaces - Prototypes of user interfaces that the sales team will use to demonstrate the product during customer demos",
            "similarity": 0.4662
          },
          {
            "kra_text": "backend code refactoring and maintenance",
            "sentence": "Developing new products or maintaining existing products",
            "similarity": 0.4155
          }
        ],
        "matched_count": null,
        "matched_skills": null,
        "role_id": 83,
        "score": 0.4701,
        "slug": "dotnet-backend-developer",
        "total_count": null
      },
      {
        "display_name": "React Frontend Developer",
        "kra_matches": [
          {
            "kra_text": "Implement user-facing screens and interactions",
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            "similarity": 0.5859
          },
          {
            "kra_text": "debug user-facing application issues",
            "sentence": "Fixing bugs or making minor feature upgrades",
            "similarity": 0.4119
          },
          {
            "kra_text": "translate product and design requirements",
            "sentence": "Following strict product specs or development frameworks",
            "similarity": 0.4105
          }
        ],
        "matched_count": null,
        "matched_skills": null,
        "role_id": 89,
        "score": 0.4694,
        "slug": "react-frontend-developer",
        "total_count": null
      },
      {
        "display_name": "Vue Frontend Developer",
        "kra_matches": [
          {
            "kra_text": "Implement browser-based user interfaces",
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            "similarity": 0.5756
          },
          {
            "kra_text": "debug frontend defects",
            "sentence": "Fixing bugs or making minor feature upgrades",
            "similarity": 0.4273
          },
          {
            "kra_text": "debug frontend defects",
            "sentence": "Following strict product specs or development frameworks",
            "similarity": 0.4001
          }
        ],
        "matched_count": null,
        "matched_skills": null,
        "role_id": 91,
        "score": 0.4677,
        "slug": "vue-frontend-developer",
        "total_count": null
      },
      {
        "display_name": "Flutter Developer",
        "kra_matches": [
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          },
          {
            "kra_text": "collaborate with design, product, and backend teams",
            "sentence": "Developing new products or maintaining existing products",
            "similarity": 0.4322
          },
          {
            "kra_text": "structure reusable application code",
            "sentence": "Have written scripts using CDK, CloudFormation, serverless.com, Terraform, or similar frameworks to deploy at least 2 applications",
            "similarity": 0.4183
          }
        ],
        "matched_count": null,
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        "role_id": 74,
        "score": 0.4646,
        "slug": "flutter-developer",
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      }
    ],
    "skill_match_roles": [
      {
        "display_name": "Cloud Architect",
        "kra_matches": null,
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        "matched_skills": [
          "AWS CDK",
          "AWS CloudFormation",
          "Serverless Framework",
          "Terraform"
        ],
        "role_id": 9,
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        "total_count": 5
      },
      {
        "display_name": "DevOps Engineer",
        "kra_matches": null,
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        "matched_skills": [
          "AWS CDK",
          "AWS CloudFormation",
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          "Terraform"
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        "role_id": 10,
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        "slug": "devops-engineer",
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      },
      {
        "display_name": "ML Engineer",
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          "AWS CloudFormation",
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        ],
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      },
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        "matched_skills": [
          "AWS CDK",
          "Terraform"
        ],
        "role_id": 23,
        "score": 0.4,
        "slug": "cloud-security-engineer",
        "total_count": 5
      }
    ]
  },
  "stage4_decision": {
    "alias_collision_detected": false,
    "case": "DOMAIN",
    "chosen_role": {
      "display_name": "Fullstack Developer",
      "kra_matches": null,
      "matched_count": null,
      "matched_skills": null,
      "role_id": 15,
      "score": 0.98,
      "slug": "full-stack-engineer",
      "total_count": null
    },
    "confidence": 0.98,
    "is_new_role": false,
    "llm2_fired": false,
    "llm2_reasoning": null,
    "matched_dimensions": [
      "Full-Stack Product Engineering",
      "UI Prototyping for Sales Demos",
      "Customer Onboarding Integrations",
      "Data Visualization and Insights",
      "Cloud Application Deployment"
    ],
    "matched_kras": [
      "Building User Interfaces",
      "Accelerating customer onboarding",
      "Building visualizations and generating insights",
      "Developing new products or maintaining existing products",
      "Fixing bugs or making minor feature upgrades",
      "Creating customized product prototypes that win over customers"
    ],
    "matched_skills": [
      "full-stack engineer",
      "DynamoDB",
      "CDK",
      "CloudFormation",
      "serverless.com",
      "Terraform",
      "customer demos",
      "marketplace integrations",
      "Reports",
      "ML-driven insights",
      "multi-tenant Charging-as-a-Service platform"
    ],
    "new_role_display_name": null,
    "new_role_slug": null,
    "queued": false,
    "reasoning": "Domain=Software Engineering; The JD explicitly asks for a full-stack engineer and describes end-to-end product prototyping, UI building, integrations, and deployment work.",
    "sub_role": null
  },
  "stage5_updates": {
    "centroid_n_after": 331,
    "centroid_updated": true,
    "collision_log_id": null,
    "new_kra_attached": {
      "best_kra_similarity": 0.0,
      "queue_id": 771,
      "r_and_r_preview": "\u2022 Building User Interfaces - Prototypes of user interfaces that the sales team will use to demonstrate the product during customer demos\n\u2022 Accelerating customer onboarding - building marketplace integ",
      "role_display_name": "Fullstack Developer",
      "role_slug": "full-stack-engineer",
      "status": "pending"
    },
    "new_skills_attached": [
      {
        "is_primary": true,
        "queue_id": 11514,
        "role_display_name": "Fullstack Developer",
        "role_slug": "full-stack-engineer",
        "skill_name": "DynamoDB",
        "status": "pending"
      }
    ],
    "queue_entry_id": null,
    "v3_pipeline_triggered": false,
    "v3_role_slug": null,
    "v3_run_id": null
  }
}
API 2 — extract-details
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      "alias_persist_skipped_reason": "TODO: REMOVE AFTER TESTING \u2014 alias DB write disabled",
      "alias_persisted": false,
      "existing_alias_id": null,
      "existing_alias_text": null,
      "input_term": "DynamoDB",
      "matched_canonical": {
        "category_id": 11,
        "display_name": "Amazon DynamoDB",
        "id": 93,
        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "CLOUD_SERVICE",
        "slug": "amazon-dynamodb",
        "sub_category_id": 55,
        "typical_lifespan": "EVERGREEN",
        "volatility": "STABLE"
      },
      "matched_via": "embedding_display_name"
    },
    {
      "alias_persist_skipped_reason": "alias_text already exists for this canonical skill",
      "alias_persisted": false,
      "existing_alias_id": 1260,
      "existing_alias_text": "AWS CDK",
      "input_term": "AWS CDK",
      "matched_canonical": {
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        "display_name": "AWS CDK",
        "id": 719,
        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "FRAMEWORK",
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        "sub_category_id": 145,
        "typical_lifespan": "EVERGREEN",
        "volatility": "EMERGING"
      },
      "matched_via": "alias"
    },
    {
      "alias_persist_skipped_reason": "alias_text already exists for this canonical skill",
      "alias_persisted": false,
      "existing_alias_id": 549,
      "existing_alias_text": "AWS CloudFormation",
      "input_term": "AWS CloudFormation",
      "matched_canonical": {
        "category_id": 11,
        "display_name": "AWS CloudFormation",
        "id": 288,
        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "CLOUD_SERVICE",
        "slug": "aws-cloudformation",
        "sub_category_id": 181,
        "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": 1345,
      "existing_alias_text": "Serverless Framework",
      "input_term": "Serverless Framework",
      "matched_canonical": {
        "category_id": 5,
        "display_name": "Serverless Framework",
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        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "FRAMEWORK",
        "slug": "serverless-framework",
        "sub_category_id": 145,
        "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": 547,
      "existing_alias_text": "Terraform",
      "input_term": "Terraform",
      "matched_canonical": {
        "category_id": 13,
        "display_name": "Terraform",
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        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "TOOL",
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        "typical_lifespan": "EVERGREEN",
        "volatility": "STABLE"
      },
      "matched_via": "alias"
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  ],
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      "slug": "cloud-architect",
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  "chosen_role": {
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      },
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    },
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    },
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  "new_aliases_persisted": 0,
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      ],
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      "source_tag": "db",
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    },
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            "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": "AWS CDK",
          "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": "AWS CDK",
          "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": "AWS CDK",
      "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": "AWS CloudFormation",
          "alias_type": "CANONICAL",
          "id": 549,
          "is_primary": true,
          "match_strategy": "CASE_INSENSITIVE"
        }
      ],
      "canonical": {
        "category_id": 11,
        "display_name": "AWS CloudFormation",
        "id": 288,
        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "CLOUD_SERVICE",
        "slug": "aws-cloudformation",
        "sub_category_id": 181,
        "typical_lifespan": "EVERGREEN",
        "volatility": "STABLE"
      },
      "dimensions": [
        {
          "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": "AWS CloudFormation",
          "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": "AWS CloudFormation",
          "llm_role": null,
          "roles_from_db": [
            {
              "display_name": "ML Engineer",
              "id": 3,
              "rationale": null,
              "role_archetype": null,
              "slug": "ml-engineer",
              "source": "db"
            }
          ]
        }
      ],
      "input_skill": "AWS CloudFormation",
      "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": "Serverless Framework",
          "alias_type": "CANONICAL",
          "id": 1345,
          "is_primary": true,
          "match_strategy": "CASE_INSENSITIVE"
        }
      ],
      "canonical": {
        "category_id": 5,
        "display_name": "Serverless Framework",
        "id": 800,
        "is_also_category": false,
        "is_extractable": true,
        "skill_nature": "FRAMEWORK",
        "slug": "serverless-framework",
        "sub_category_id": 145,
        "typical_lifespan": "EVERGREEN",
        "volatility": "STABLE"
      },
      "dimensions": [
        {
          "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": "Serverless Framework",
          "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": "Serverless Framework",
      "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": "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
    }
  ],
  "unmatched_skills": []
}
API 3 — final-role-output
{
  "chosen_role": {
    "display_name": "Fullstack Developer",
    "id": 15,
    "rationale": "Domain=Software Engineering; The JD explicitly asks for a full-stack engineer and describes end-to-end product prototyping, UI building, integrations, and deployment work.",
    "role_archetype": null,
    "slug": "full-stack-engineer",
    "source": "db"
  },
  "chosen_role_resolution": "in_db",
  "final_input_skills": [
    {
      "skill": "DynamoDB",
      "tag": "in_db"
    },
    {
      "skill": "AWS CDK",
      "tag": "in_db"
    },
    {
      "skill": "AWS CloudFormation",
      "tag": "in_db"
    },
    {
      "skill": "Serverless Framework",
      "tag": "in_db"
    },
    {
      "skill": "Terraform",
      "tag": "in_db"
    }
  ],
  "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": 15,
        "dimension": {
          "difficulty_hint": "well_known",
          "display_name": "NoSQL Databases",
          "id": 19,
          "rationale": "Models and manages data using non-relational database systems.",
          "slug": "nosql-databases",
          "source": "db"
        },
        "dimension_id": 19,
        "input_skill": "DynamoDB",
        "llm_role": null,
        "matched_chosen_role": false,
        "outcome_line": "Skipped \u2014 no persistable v3 meta for new skill",
        "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"
          }
        ],
        "skill_dimension_saved": false,
        "skill_id": null,
        "skill_tag": "new",
        "skipped_reason": "skill_not_in_db_v3_proposed"
      },
      {
        "chosen_role_id": 15,
        "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"
        },
        "dimension_id": 249,
        "input_skill": "AWS CDK",
        "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"
          }
        ],
        "skill_dimension_saved": true,
        "skill_id": 719,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 15,
        "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"
        },
        "dimension_id": 132,
        "input_skill": "AWS CDK",
        "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": "DevOps Engineer",
            "id": 10,
            "rationale": null,
            "role_archetype": null,
            "slug": "devops-engineer",
            "source": "db"
          }
        ],
        "skill_dimension_saved": true,
        "skill_id": 719,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 15,
        "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"
        },
        "dimension_id": 132,
        "input_skill": "AWS CloudFormation",
        "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": "DevOps Engineer",
            "id": 10,
            "rationale": null,
            "role_archetype": null,
            "slug": "devops-engineer",
            "source": "db"
          }
        ],
        "skill_dimension_saved": true,
        "skill_id": 288,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 15,
        "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"
        },
        "dimension_id": 57,
        "input_skill": "AWS CloudFormation",
        "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": "ML Engineer",
            "id": 3,
            "rationale": null,
            "role_archetype": null,
            "slug": "ml-engineer",
            "source": "db"
          }
        ],
        "skill_dimension_saved": true,
        "skill_id": 288,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 15,
        "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"
        },
        "dimension_id": 132,
        "input_skill": "Serverless Framework",
        "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": "DevOps Engineer",
            "id": 10,
            "rationale": null,
            "role_archetype": null,
            "slug": "devops-engineer",
            "source": "db"
          }
        ],
        "skill_dimension_saved": true,
        "skill_id": 800,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 15,
        "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"
        },
        "dimension_id": 249,
        "input_skill": "Terraform",
        "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"
          }
        ],
        "skill_dimension_saved": true,
        "skill_id": 286,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 15,
        "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"
        },
        "dimension_id": 132,
        "input_skill": "Terraform",
        "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": "DevOps Engineer",
            "id": 10,
            "rationale": null,
            "role_archetype": null,
            "slug": "devops-engineer",
            "source": "db"
          }
        ],
        "skill_dimension_saved": true,
        "skill_id": 286,
        "skill_tag": "in_db",
        "skipped_reason": null
      },
      {
        "chosen_role_id": 15,
        "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"
        },
        "dimension_id": 57,
        "input_skill": "Terraform",
        "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": "ML Engineer",
            "id": 3,
            "rationale": null,
            "role_archetype": null,
            "slug": "ml-engineer",
            "source": "db"
          }
        ],
        "skill_dimension_saved": true,
        "skill_id": 286,
        "skill_tag": "in_db",
        "skipped_reason": null
      }
    ],
    "new_skills_created": 0,
    "role_dimension_saved": 0,
    "skill_dimension_saved": 0,
    "skipped": 1
  },
  "planner_output": null,
  "run_id": "67e1f345-2f5d-4710-8f21-e459dd936ea9"
}

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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