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Pipeline run

d442013d-5a1a-4346-8191-7c4ee487a9e1

Pipeline LLM cost (USD)
API 1: $0.0040 API 2: $0.0000 API 3: $0.0000 Total: $0.0040

Client output enrichment

v2 Skill cluster · Nature of work · AI index · Tech stack maturity · Evidence · KRA description
Nature of work · Solutions Engineering / Pre-Sales
Own pre-sales technical work: run discovery with customers, design scalable secure architectures, build POCs/demos/docs, troubleshoot integrations, and support implementations, workshops, and roadmap feedback with engineering.
"Support pre-sales engagements by presenting technical capabilities and addressing customer requirements."
Tech stack maturity
Modern Cloud Native
The skill mix centers on Kubernetes, Docker, CI/CD, and cloud-era identity and API technologies, which strongly aligns with a modern cloud-native DevOps stack.
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): ChatGPT
Frameworks (×2):
Models / concepts (×3): AI, Generative AI
Evidence — skills matched in JD (17)
Kubernetes Docker REST GraphQL CI/CD Python Go JavaScript OIDC SAML OAuth2 WireGuard IPSec Grafana Prometheus ELK Distributed Systems
Skill cluster (13 dimension groups, role-scoped)
Integration Protocols & Standards
REST OAuth2
Observability and Incident Triage
Grafana Prometheus
API Integration and Data Fetching
GraphQL
Authentication and Identity Integration
SAML
CI/CD Pipeline Platforms
CI/CD
Cloud Platforms
Distributed Systems
Container Orchestration Platforms
Kubernetes
Containerization and Image Builds
Docker
Crash Reporting and Observability
ELK
Go Language and Toolchain
Go
JavaScript and TypeScript
JavaScript
Python Programming
Python
Cross-cutting / unaligned
OIDC WireGuard IPSec
Show KRA description ↓
Collaborate with clients and internal teams to design scalable, secure, and high-performance solutions. Lead technical discovery sessions and translate business needs into actionable architecture. Build proofs-of-concept (POCs), demos, and technical documentation for customers and partners. Work closely with engineering to ensure successful implementations and product fit. Support pre-sales engagements by presenting technical capabilities and addressing customer requirements. Troubleshoot integration issues and provide guidance on best practices. Gather customer feedback and contribute to product roadmap discussions. Deliver enablement sessions, workshops, and onboarding for partners or enterprise clients. 3+ years of experience in a DevOps, SRE, Solutions Engineer or Sales Engineer / Cloud Engineer role. Strong technical understanding of modern infrastructure: Kubernetes, Docker, REST / GraphQL APIs, and CI/CD workflows. Solid scripting or programming skills (Python, Go, JavaScript, or similar). Excellent communication and presentation skills, with the ability to explain complex ideas clearly. Ability to work autonomously in fast-moving startup or enterprise environments. Experience with identity and access management (OIDC, SAML, OAuth2). Understanding of networking, VPN (WireGuard, IPSec), or distributed systems. Knowledge of observability tools (Grafana, Prometheus, ELK, etc.). Prior work in AI infrastructure, data platforms, or enterprise SaaS solutions. Contributions to open-source projects or technical writing (blogs, docs, etc.).

Signals

Skill backend-engineer
0.59
Alias devops-engineer
1.00
KRA devops-engineer
0.49

Post-classification

Centroidupdated · n=31
Alias collision log
New-role queue
New skills captured0
New KRA captured
Status: extract_from_jd_done Created: 2026-05-19T18:03:43.645967Z Updated: 2026-05-19T18:03:44.656158Z
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

No chosen role stored for this run.

Job description

About NodeShift



NodeShift is a fast-growing AI infrastructure startup headquartered in Al Maryah Island, Abu Dhabi, the UAE’s most prestigious innovation and financial district with a second office in Qatar Financial Centre (QFC), Doha.


We design and operate sovereign cloud and generative AI platforms for governments, banks, and national enterprises that require full data control and compliance. Our customers include the Ministry of Economy of the UAE, the Qatar Development Bank, and the Central Bank of the UAE, among others.


Our two flagship products:
NodeShift Sovereign Cloud – a hyper-converged, air-gapped cloud operating system delivering compute, storage, networking, and GPU virtualization fully inside national data centers. It powers national cloud initiatives and internal enterprise clouds across the UAE, Saudi Arabia, and Qatar.
NodeShift AI – an enterprise-grade, on-premise generative AI platform featuring 140+ Arabic and English models, built-in governance, and over 80 enterprise integrations, enabling organizations to create secure, private ChatGPT-like environments within their own infrastructure.


Founded by a leadership team from Microsoft, X (formerly Twitter), Tesla, and Cisco, and built by a world-class engineering team including Oxford graduates, NodeShift combines global expertise with regional purpose.


We’re expanding rapidly across the GCC, supporting central banks, ministries, telecoms, and data center operators and shaping the next era of sovereign AI and cloud computing in the region.


Joining NodeShift means joining a team that’s building the infrastructure of national AI sovereignty - innovative, impactful, and proudly homegrown in the Gulf.


Role Description



We’re looking for a highly skilled DevOps Engineer to join our growing team. You’ll act as the bridge between our product, engineering, and customers - helping organizations design, deploy, and optimize technical solutions that leverage our platform. This is a hands-on, cross-functional role that requires a deep understanding of modern cloud architectures, APIs, and integration patterns.


Key Responsibilities



Collaborate with clients and internal teams to design scalable, secure, and high-performance solutions.
Lead technical discovery sessions and translate business needs into actionable architecture.
Build proofs-of-concept (POCs), demos, and technical documentation for customers and partners.
Work closely with engineering to ensure successful implementations and product fit.
Support pre-sales engagements by presenting technical capabilities and addressing customer requirements.
Troubleshoot integration issues and provide guidance on best practices.
Gather customer feedback and contribute to product roadmap discussions.
Deliver enablement sessions, workshops, and onboarding for partners or enterprise clients.


Required Qualifications



3+ years of experience in a DevOps, SRE, Solutions Engineer or Sales Engineer / Cloud Engineer role.
Strong technical understanding of modern infrastructure: Kubernetes, Docker, REST / GraphQL APIs, and CI/CD workflows.
Solid scripting or programming skills (Python, Go, JavaScript, or similar).
Excellent communication and presentation skills, with the ability to explain complex ideas clearly.
Ability to work autonomously in fast-moving startup or enterprise environments.


Nice to Have



Experience with identity and access management (OIDC, SAML, OAuth2).
Understanding of networking, VPN (WireGuard, IPSec), or distributed systems.
Knowledge of observability tools (Grafana, Prometheus, ELK, etc.).
Prior work in AI infrastructure, data platforms, or enterprise SaaS solutions.
Contributions to open-source projects or technical writing (blogs, docs, etc.).


What do we have to offer you?

Hybrid office / remote-working practices
Competitive salary
Learning and Development budget
24 days PTO
Become part of the founding team
Real career opportunities with the opportunity to grow quickly in seniority as the team scales 
Work colleagues that are as smart, hardworking and driven with backgrounds from FAANG companies and leading universities
Transparent company culture, open to feedback where you can wear multiple hats at once

Skills from this JD

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

Kubernetes Primary No API 2 row (run stopped after API 1 or history missing)
Docker Primary No API 2 row (run stopped after API 1 or history missing)
REST Primary No API 2 row (run stopped after API 1 or history missing)
GraphQL Primary No API 2 row (run stopped after API 1 or history missing)
CI/CD Primary No API 2 row (run stopped after API 1 or history missing)
Python Primary No API 2 row (run stopped after API 1 or history missing)
Go Primary No API 2 row (run stopped after API 1 or history missing)
JavaScript Primary No API 2 row (run stopped after API 1 or history missing)
OIDC Primary No API 2 row (run stopped after API 1 or history missing)
SAML Primary No API 2 row (run stopped after API 1 or history missing)
OAuth2 Primary No API 2 row (run stopped after API 1 or history missing)
WireGuard Secondary No API 2 row (run stopped after API 1 or history missing)
IPSec Secondary No API 2 row (run stopped after API 1 or history missing)
Grafana Secondary No API 2 row (run stopped after API 1 or history missing)
Prometheus Secondary No API 2 row (run stopped after API 1 or history missing)
ELK Secondary No API 2 row (run stopped after API 1 or history missing)
Distributed Systems Secondary No API 2 row (run stopped after API 1 or history missing)

Library artifacts (this run)

No artifact rows for this run.
nano JD Parser — gpt-4.1-nano click to toggle
RoleDevOps Engineer
CompanyNodeShift
Experience3+ years of experience in a DevOps, SRE, Solutions Engineer or Sales Engineer / Cloud Engineer role.
DomainIT Services & Consulting
Location Abu Dhabi, UAE (hybrid)
JD type pass
Show raw JSON
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  "urls": []
}
API 1 — extract-from-jd click to toggle
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    ],
    "skill_match_roles": [
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      },
      {
        "display_name": "Full Stack Engineer",
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        "score": 0.5294,
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      {
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        "matched_count": 6,
        "role_id": 5,
        "score": 0.3529,
        "slug": "cybersecurity-engineer",
        "total_count": 17
      },
      {
        "display_name": "ML Engineer",
        "matched_count": 5,
        "role_id": 3,
        "score": 0.2941,
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        "total_count": 17
      }
    ]
  },
  "stage4_decision": {
    "alias_collision_detected": false,
    "case": "A",
    "chosen_role": {
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      "total_count": null
    },
    "confidence": 0.4857,
    "llm2_fired": false,
    "llm2_reasoning": null,
    "queued": false,
    "reasoning": "Stage 1 title \u0027DevOps Engineer\u0027 (name match, sim 1.00); KRA agrees (0.49)"
  },
  "stage5_updates": {
    "centroid_n_after": 31,
    "centroid_updated": true,
    "collision_log_id": null,
    "new_kra_attached": null,
    "new_skills_attached": [],
    "queue_entry_id": null,
    "v3_pipeline_triggered": false,
    "v3_role_slug": null,
    "v3_run_id": null
  }
}
API 2 — extract-details
{}
API 3 — final-role-output
{}

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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