Pipeline run
fbf04c36-209b-4616-9d21-333acb2a660e
Pipeline LLM cost (USD)
API 1: $0.0021
API 2: $0.0000
API 3: $0.0000
Total: $0.0021
Client output enrichment
v2 Skill cluster · Nature of work · AI index · Tech stack maturity · Evidence · KRA description
SPARSE JD
Nature of work
—
Tech stack maturity
Mainstream Modern
AI index (0 = no AI use, 5 = totally AI-dependent · v2.1)
0.00 / 5
· Title match
· Has AI skill
· AI skill (primary)
· AI skill (secondary)
· On AI team
· Builds AI products
vocab breakdown (legacy)
Assistants (×1):
—
Frameworks (×2):
—
Models / concepts (×3):
—
Evidence — skills matched in JD (0)
Skill cluster (0 dimension groups, role-scoped)
Show KRA description ↓
• Develop deep insight into system logs from all SAN components and be able to root cause the issue to specific component.
• Thorough understanding of the FC Protocol and transactions.
• Architecture level understating of various hardware and software components of Storage Area Network
• Front ends customer escalations and leads issue reproduction and debugging activities. Competent with log analysis from various SAN components and FC trace collection and analysis
• Represents the software systems engineering team for all phases of larger and more-complex development projects. Provides guidance and mentoring to less- experienced staff members.
• Provides guidance and mentoring to less- experienced staff members.
Knowledge and Skills:
• Domain expertise in the SAN, Enterprise Storage and interoperability testing.
• Well versed with configuring, log collection and log analysis of various SAN components which includes Switches, Storage and Servers.
• FC Trace collection and system Log analysis; Thorough understanding of protocols; Fibre Channel Protocol. NVMe over TCP and TCPIP understanding is desired.
• Strong analytical and problem solving skills.
• Expertise in multiple Operating Systems, software systems design tools and languages.
• Administering multiple platform types.
• Software systems testing methodology, including writing and execution of test plans, debugging, and testing scripts and tools.
• Excellent written and verbal communication skills; mastery in English and local language. Ability to effectively communicate product architectures, design proposals and negotiate options at management levels.
• Produce high-quality Root Cause Analysis (RCA) reports, technical analysis documents, and engineering design validation summaries.
• Maintain clear, structured defect documentation and present risk assessments to leadership.
• Contribute to requirement reviews, design discussions, and release readiness evaluation
Cloud Architectures, Cross Domain Knowledge, Design Thinking, Development Fundamentals, DevOps, Distributed Computing, Microservices Fluency, Full Stack Development, Security-First Mindset, Solutions Design, Testing & Automation, User Experience (UX)
Status:
completed
Created: 2026-05-21T09:23:48.662970Z
Updated: 2026-05-21T09:23:48.726942Z
API 3 duration: 23 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
—
slug: — · id: — · source: llm
Stage 1 produced no role_archetype
Resolution:
human_review_required
— role not in DB; role↔dimension links may be deferred.
0
New skills
0
Skill↔dim saved
0
Role↔dim saved
0
Skipped
Job description
Responsibilities: • Develop deep insight into system logs from all SAN components and be able to root cause the issue to specific component. • Thorough understanding of the FC Protocol and transactions. • Architecture level understating of various hardware and software components of Storage Area Network • Front ends customer escalations and leads issue reproduction and debugging activities. Competent with log analysis from various SAN components and FC trace collection and analysis • Represents the software systems engineering team for all phases of larger and more-complex development projects. Provides guidance and mentoring to less- experienced staff members. • Provides guidance and mentoring to less- experienced staff members. What you need to bring: Knowledge and Skills: • Domain expertise in the SAN, Enterprise Storage and interoperability testing. • Well versed with configuring, log collection and log analysis of various SAN components which includes Switches, Storage and Servers. • FC Trace collection and system Log analysis; Thorough understanding of protocols; Fibre Channel Protocol. NVMe over TCP and TCPIP understanding is desired. • Strong analytical and problem solving skills. • Expertise in multiple Operating Systems, software systems design tools and languages. • Administering multiple platform types. • Software systems testing methodology, including writing and execution of test plans, debugging, and testing scripts and tools. • Excellent written and verbal communication skills; mastery in English and local language. Ability to effectively communicate product architectures, design proposals and negotiate options at management levels. Documentation & Reporting • Produce high-quality Root Cause Analysis (RCA) reports, technical analysis documents, and engineering design validation summaries. • Maintain clear, structured defect documentation and present risk assessments to leadership. • Contribute to requirement reviews, design discussions, and release readiness evaluation Additional Skills: Cloud Architectures, Cross Domain Knowledge, Design Thinking, Development Fundamentals, DevOps, Distributed Computing, Microservices Fluency, Full Stack Development, Security-First Mindset, Solutions Design, Testing & Automation, User Experience (UX)
Library artifacts (this run)
No artifact rows for this run.
nano JD Parser — gpt-4.1-nano click to toggle
DomainOther
JD type
pass
Show raw JSON
{
"JD_type": "pass",
"about_company": null,
"certifications": [],
"company_name": null,
"ctc": null,
"domain": {
"primary": {
"aliases": [],
"domain": "Other"
},
"secondary": null
},
"education": [],
"experience": {
"max": null,
"min": null,
"raw": null
},
"job_locations": [],
"role": null,
"role_aliases": [],
"role_archetype": null,
"roles_and_responsibilities": [
{
"bullet_count": 6,
"heading": "Responsibilities",
"heading_was_present": true,
"source_marker": {
"first_5_words": "\u2022 Develop deep insight into",
"last_5_words": "less- experienced staff members."
},
"text": "\u2022 Develop deep insight into system logs from all SAN components and be able to root cause the issue to specific component.\n\u2022 Thorough understanding of the FC Protocol and transactions.\n\u2022 Architecture level understating of various hardware and software components of Storage Area Network\n\u2022 Front ends customer escalations and leads issue reproduction and debugging activities. Competent with log analysis from various SAN components and FC trace collection and analysis\n\u2022 Represents the software systems engineering team for all phases of larger and more-complex development projects. Provides guidance and mentoring to less- experienced staff members.\n\u2022 Provides guidance and mentoring to less- experienced staff members.",
"word_count": 90
},
{
"bullet_count": 8,
"heading": "What you need to bring:",
"heading_was_present": true,
"source_marker": {
"first_5_words": "Knowledge and Skills:\n\u2022 Domain expertise",
"last_5_words": "and negotiate options at management levels."
},
"text": "Knowledge and Skills:\n\u2022 Domain expertise in the SAN, Enterprise Storage and interoperability testing.\n\u2022 Well versed with configuring, log collection and log analysis of various SAN components which includes Switches, Storage and Servers.\n\u2022 FC Trace collection and system Log analysis; Thorough understanding of protocols; Fibre Channel Protocol. NVMe over TCP and TCPIP understanding is desired.\n\u2022 Strong analytical and problem solving skills.\n\u2022 Expertise in multiple Operating Systems, software systems design tools and languages.\n\u2022 Administering multiple platform types.\n\u2022 Software systems testing methodology, including writing and execution of test plans, debugging, and testing scripts and tools.\n\u2022 Excellent written and verbal communication skills; mastery in English and local language. Ability to effectively communicate product architectures, design proposals and negotiate options at management levels.",
"word_count": 134
},
{
"bullet_count": 3,
"heading": "Documentation \u0026 Reporting",
"heading_was_present": true,
"source_marker": {
"first_5_words": "\u2022 Produce high-quality Root Cause",
"last_5_words": "design discussions, and release readiness evaluation"
},
"text": "\u2022 Produce high-quality Root Cause Analysis (RCA) reports, technical analysis documents, and engineering design validation summaries.\n\u2022 Maintain clear, structured defect documentation and present risk assessments to leadership.\n\u2022 Contribute to requirement reviews, design discussions, and release readiness evaluation",
"word_count": 42
},
{
"bullet_count": 0,
"heading": "Additional Skills:",
"heading_was_present": true,
"source_marker": {
"first_5_words": "Cloud Architectures, Cross Domain Knowledge,",
"last_5_words": "Design, Testing \u0026 Automation, User Experience (UX)"
},
"text": "Cloud Architectures, Cross Domain Knowledge, Design Thinking, Development Fundamentals, DevOps, Distributed Computing, Microservices Fluency, Full Stack Development, Security-First Mindset, Solutions Design, Testing \u0026 Automation, User Experience (UX)",
"word_count": 30
}
],
"urls": []
}
API 1 — extract-from-jd click to toggle
{
"final_skills": [],
"jd_role": {
"display_name": "\u2014",
"rationale": "Stage 1 produced no role_archetype",
"role_aliases": [],
"role_archetype": "\u2014",
"slug": ""
},
"nano_parsed": {
"JD_type": "pass",
"about_company": null,
"certifications": [],
"company_name": null,
"ctc": null,
"domain": {
"primary": {
"aliases": [],
"domain": "Other"
},
"secondary": null
},
"education": [],
"experience": {
"max": null,
"min": null,
"raw": null
},
"job_locations": [],
"role": null,
"role_aliases": [],
"role_archetype": null,
"roles_and_responsibilities": [
{
"bullet_count": 6,
"heading": "Responsibilities",
"heading_was_present": true,
"source_marker": {
"first_5_words": "\u2022 Develop deep insight into",
"last_5_words": "less- experienced staff members."
},
"text": "\u2022 Develop deep insight into system logs from all SAN components and be able to root cause the issue to specific component.\n\u2022 Thorough understanding of the FC Protocol and transactions.\n\u2022 Architecture level understating of various hardware and software components of Storage Area Network\n\u2022 Front ends customer escalations and leads issue reproduction and debugging activities. Competent with log analysis from various SAN components and FC trace collection and analysis\n\u2022 Represents the software systems engineering team for all phases of larger and more-complex development projects. Provides guidance and mentoring to less- experienced staff members.\n\u2022 Provides guidance and mentoring to less- experienced staff members.",
"word_count": 90
},
{
"bullet_count": 8,
"heading": "What you need to bring:",
"heading_was_present": true,
"source_marker": {
"first_5_words": "Knowledge and Skills:\n\u2022 Domain expertise",
"last_5_words": "and negotiate options at management levels."
},
"text": "Knowledge and Skills:\n\u2022 Domain expertise in the SAN, Enterprise Storage and interoperability testing.\n\u2022 Well versed with configuring, log collection and log analysis of various SAN components which includes Switches, Storage and Servers.\n\u2022 FC Trace collection and system Log analysis; Thorough understanding of protocols; Fibre Channel Protocol. NVMe over TCP and TCPIP understanding is desired.\n\u2022 Strong analytical and problem solving skills.\n\u2022 Expertise in multiple Operating Systems, software systems design tools and languages.\n\u2022 Administering multiple platform types.\n\u2022 Software systems testing methodology, including writing and execution of test plans, debugging, and testing scripts and tools.\n\u2022 Excellent written and verbal communication skills; mastery in English and local language. Ability to effectively communicate product architectures, design proposals and negotiate options at management levels.",
"word_count": 134
},
{
"bullet_count": 3,
"heading": "Documentation \u0026 Reporting",
"heading_was_present": true,
"source_marker": {
"first_5_words": "\u2022 Produce high-quality Root Cause",
"last_5_words": "design discussions, and release readiness evaluation"
},
"text": "\u2022 Produce high-quality Root Cause Analysis (RCA) reports, technical analysis documents, and engineering design validation summaries.\n\u2022 Maintain clear, structured defect documentation and present risk assessments to leadership.\n\u2022 Contribute to requirement reviews, design discussions, and release readiness evaluation",
"word_count": 42
},
{
"bullet_count": 0,
"heading": "Additional Skills:",
"heading_was_present": true,
"source_marker": {
"first_5_words": "Cloud Architectures, Cross Domain Knowledge,",
"last_5_words": "Design, Testing \u0026 Automation, User Experience (UX)"
},
"text": "Cloud Architectures, Cross Domain Knowledge, Design Thinking, Development Fundamentals, DevOps, Distributed Computing, Microservices Fluency, Full Stack Development, Security-First Mindset, Solutions Design, Testing \u0026 Automation, User Experience (UX)",
"word_count": 30
}
],
"urls": []
},
"rejected": true,
"rejection_reason": "Stage 1 produced no role_archetype",
"run_id": null,
"stage3_signals": null,
"stage4_decision": null,
"stage5_updates": null
}
API 2 — extract-details
{
"alias_matches": [],
"candidate_roles": [],
"chosen_role": {
"display_name": "\u2014",
"id": null,
"rationale": "Stage 1 produced no role_archetype",
"role_archetype": "\u2014",
"slug": "",
"source": "llm"
},
"dimensions": [],
"input_final_skills": [],
"input_llm_skills": [],
"new_aliases_persisted": 0,
"run_id": "fbf04c36-209b-4616-9d21-333acb2a660e",
"skills_detail": [],
"unmatched_skills": []
}
API 3 — final-role-output
{
"chosen_role": {
"display_name": "\u2014",
"id": null,
"rationale": "Stage 1 produced no role_archetype",
"role_archetype": "\u2014",
"slug": "",
"source": "llm"
},
"chosen_role_resolution": "human_review_required",
"final_input_skills": [],
"llm_cost_api1_usd": null,
"llm_cost_api2_usd": null,
"llm_cost_api3_usd": null,
"llm_cost_total_usd": null,
"persistence": {
"items": [],
"new_skills_created": 0,
"role_dimension_saved": 0,
"skill_dimension_saved": 0,
"skipped": 0
},
"planner_output": null,
"run_id": "fbf04c36-209b-4616-9d21-333acb2a660e"
}
LLM Calls
Every model call made for this run, in pipeline order. Click a card to see the model's response.
Loading…