DevOps​/SRE Architect – GenAI Enablement

Dev Ops / SRE Architect – GenAI Enablement

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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 Dev Ops/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 Dev Ops 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.

• GenAI in Dev Ops & 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:
  Git Hub Actions / Git Lab 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, Chat Ops, AI-assisted runbooks)
• Integrate GenAI into Dev Ops/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 Dev Ops/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.

• Proven experience as Dev Ops 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).

• 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 Dev Ops/SRE.
• Interest or experience in:
  • Using AI for log/metric analysis
  • AI-assisted config/infrastructure changes with guardrails
  • Chat Ops-like flows with AI in Slack/Teams

• Comfortable leading change: proposing new workflows, proving value with numbers, and addressing risk concerns.
• Can…