Pipeline run
67e1f345-2f5d-4710-8f21-e459dd936ea9
Client output enrichment
v2 Skill cluster · Nature of work · AI index · Tech stack maturity · Evidence · KRA descriptionvocab breakdown (legacy)
Signals
Post-classification
Captured for admin review
• 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…
1 POST /skills/extract-from-jd
2 POST /skills/extract-details
3 POST /skills/final-role-output
Fullstack Developer
domain · Software Engineering CASE DOMAINslug: 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
Matched dimensions
Matched KRAs
Resolution:
in_db
— role exists in library; skill↔dim and role↔dim links saved when applicable.
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.
Aliases — catalog
- Amazon DynamoDB (CANONICAL) primary
Context tags (catalog)
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
|
Aliases — catalog
- AWS CDK (CANONICAL) primary
Context tags (catalog)
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) |
Aliases — catalog
- AWS CloudFormation (CANONICAL) primary
Context tags (catalog)
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) |
Aliases — catalog
- Serverless Framework (CANONICAL) primary
Context tags (catalog)
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) |
Aliases — catalog
- Terraform (CANONICAL) primary
Context tags (catalog)
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
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": [],
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},
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},
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},
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{
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"city": "Bengaluru",
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"state": null,
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],
"role": "Full-Stack Engineer",
"role_aliases": [
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"Software Engineer",
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"roles_and_responsibilities": [
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"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"
},
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{
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"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."
},
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},
{
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"heading_was_present": true,
"source_marker": {
"first_5_words": "Basic Requirements",
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},
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"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": {
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"rationale": null,
"role_aliases": [
"Full Stack Developer",
"Software Engineer",
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],
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"slug": ""
},
"nano_parsed": {
"JD_type": "pass",
"about_company": {
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},
{
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"rejected": false,
"rejection_reason": null,
"run_id": "67e1f345-2f5d-4710-8f21-e459dd936ea9",
"stage3_signals": {
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{
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],
"kra_match_roles": [
{
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{
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"sentence": "Building User Interfaces - Prototypes of user interfaces that the sales team will use to demonstrate the product during customer demos",
"similarity": 0.5083
},
{
"kra_text": "maintain existing web features",
"sentence": "Fixing bugs or making minor feature upgrades",
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},
{
"kra_text": "debug browser-based product issues",
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}
],
"matched_count": null,
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"role_id": 25,
"score": 0.4794,
"slug": "web-developer",
"total_count": null
},
{
"display_name": ".NET Backend Developer",
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{
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"sentence": "Fixing bugs or making minor feature upgrades",
"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",
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},
{
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],
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"matched_skills": null,
"role_id": 83,
"score": 0.4701,
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"total_count": null
},
{
"display_name": "React Frontend Developer",
"kra_matches": [
{
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"sentence": "Building User Interfaces - Prototypes of user interfaces that the sales team will use to demonstrate the product during customer demos",
"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",
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}
],
"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
},
{
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}
],
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"role_id": 91,
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"slug": "vue-frontend-developer",
"total_count": null
},
{
"display_name": "Flutter Developer",
"kra_matches": [
{
"kra_text": "Implement user-facing screens and flows",
"sentence": "Building User Interfaces - Prototypes of user interfaces that the sales team will use to demonstrate the product during customer demos",
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},
{
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"sentence": "Developing new products or maintaining existing products",
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},
{
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"similarity": 0.4183
}
],
"matched_count": null,
"matched_skills": null,
"role_id": 74,
"score": 0.4646,
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}
],
"skill_match_roles": [
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},
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},
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],
"role_id": 3,
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},
{
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],
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"score": 0.4,
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}
]
},
"stage4_decision": {
"alias_collision_detected": false,
"case": "DOMAIN",
"chosen_role": {
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"matched_count": null,
"matched_skills": null,
"role_id": 15,
"score": 0.98,
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},
"confidence": 0.98,
"is_new_role": false,
"llm2_fired": false,
"llm2_reasoning": null,
"matched_dimensions": [
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],
"matched_kras": [
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"matched_skills": [
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"CloudFormation",
"serverless.com",
"Terraform",
"customer demos",
"marketplace integrations",
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],
"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,
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"new_kra_attached": {
"best_kra_similarity": 0.0,
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"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",
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},
"new_skills_attached": [
{
"is_primary": true,
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}
],
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"v3_role_slug": null,
"v3_run_id": null
}
}
API 2 — extract-details
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"matched_canonical": {
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},
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"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.