DevOps / SRE Architect – GenAI Enablement

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: 

1. 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.

2. 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

3. 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.

4. 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.

5. 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.