N-iX
DevOps / SRE Architect – GenAI Enablement
N-iXRomania14 hours ago
Full-timeRemote FriendlyEngineering, Information Technology
N-iX is a global software development service company that helps businesses across the globe create next-generation software products. Founded in 2002, we unite 2,400+ tech-savvy professionals across 40+ countries, working on impactful projects for industry leaders and Fortune 500 companies. Our expertise spans cloud, data, AI/ML, embedded software, IoT, and more, driving digital transformation across finance, manufacturing, telecom, healthcare, and other industries. Join N-iX and become part of a team where your ideas make a real impact.

We’re building a small GenAI Adoption team (GenAI Adoption Leaders) to help projects use AI in real SDLC/SRE workflows — not just in notebooks. This role is the DevOps/SRE specialist: you design how GenAI fits into CI/CD, infrastructure, observability, incident response and reliability… then you help project teams adopt it and own it themselves. You don’t become their on-call SRE or platform owner. You enable, prove it on real workloads, and move to the next account. If you’re a DevOps engineer / SRE who wants to practice GenAI daily, work across many stacks, and help hundreds of engineers ship and operate better systems, this is built for you.

Responsibilities:

  • GenAI in DevOps & SRE workflows
  • Design GenAI-augmented workflows for:
    • CI/CD (pipeline authoring, YAML generation, policy-as-code help)
    • Infra-as-code (Terraform/Kubernetes manifests refactoring, reviews)
    • Log & metric analysis, incident triage, post-mortems
    • Runbook creation and knowledge search for on-call
  • Turn ad-hoc “ask the AI about this error” into repeatable practices and tools teams can rely on.
  • Tooling, platforms & pipelines
  • Prototype and refine utilities, prompts, and scripts that plug into common stacks: GitHub Actions / GitLab CI / Jenkins, Kubernetes, Helm, Terraform, Argo CD, observability tools, etc.
  • Explore and form a view on platform vs custom:
    • Built-in “AI for ops” features in cloud/observability platforms
    • vs. custom agents / assistants (e.g. CLI helpers, ChatOps, AI-assisted runbooks)
  • Integrate GenAI into DevOps/SRE workflows safely:
    • Guardrails for production changes
    • Safe suggestions for infra changes and config
    • Human-in-the-loop patterns for risky ops
  • Reliability & SRE practices
  • Embed GenAI into SRE routines:
    • SLO/SLI definition support
    • Incident summarization and timeline extraction
    • Suggesting remediation candidates based on past incidents
  • Help teams use AI to reduce MTTR, noise in alerts, and toil, without hiding risk.
  • Enable, don’t own
  • Run workshops, live demos, and pairing sessions with DevOps/SRE/Platform teams.
  • Help teams move from “AI as a side toy” to documented, auditable, and safe usage in their pipelines and runbooks.
  • Capture patterns as GenAI Value Lab playbooks, templates, and case studies that other accounts can reuse.
  • Measure impact
  • Track hard metrics like deployment frequency, lead time, MTTR, change failure rate, incident volume/noise.
  • Track human impact: less manual grunt work, faster root cause analysis, clearer runbooks, less on-call pain.
  • Turn improvements into stories and examples that make adoption easier for the next team.
Requirements:

  • Proven experience as DevOps Engineer / SRE / Platform Engineer, ideally at senior/architect level.
  • Strong base in:
    • CI/CD design and maintenance
    • Kubernetes / containers and cloud platforms
    • Infra-as-code (e.g. Terraform, Helm, etc.)
    • Monitoring, logging, tracing, incident management
  • Comfortable reading and writing automation code / scripts (e.g. Bash, Python, plus ecosystem YAML/JSON).
GenAI understanding

  • You’ve already used GenAI for your work (even informally): generating pipeline YAML, debugging infra issues, summarizing logs, writing runbooks, etc.
  • Understanding of LLMs, prompt engineering, and GenAI assistants in the context of DevOps/SRE.
  • Interest or experience in:
    • Using AI for log/metric analysis
    • AI-assisted config/infrastructure changes with guardrails
    • ChatOps-like flows with AI in Slack/Teams
How you work

  • Comfortable leading change: proposing new workflows, proving value with numbers, and addressing risk concerns.
  • Can tailor solutions across different clients and environments (compliance-heavy vs flexible, mature vs early-stage).
  • Clear communicator who can talk to DevOps, SREs, developers, architects, and managers without over-selling.

How GenAI Value Lab works

  • We don’t become the long-term DevOps or SRE team for any project.
  • We do:
    • Design patterns and guardrails for GenAI in DevOps/SRE
    • Prove them on 1–2 projects with real workloads
    • Turn them into reusable playbooks and templates, then move to the next account
You’ll work across multiple accounts and domains, helping up to 1,700 engineers and many DevOps/SRE teams evolve how they build and operate systems — while rapidly building your own GenAI expertise. If you’re a DevOps/SRE who wants to be on the front line of how operations and reliability change with GenAI — and you enjoy enabling many teams more than babysitting a single cluster — we’d like to talk.

We offer*:

  • Flexible working format - remote, office-based or flexible
  • A competitive salary and good compensation package
  • Personalized career growth
  • Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
  • Active tech communities with regular knowledge sharing
  • Education reimbursement
  • Memorable anniversary presents
  • Corporate events and team buildings
  • Other location-specific benefits
  • not applicable for freelancers

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