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: GenAI in DevOps & SRE workflowsDesign 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-mortemsRunbook creation and knowledge search for on-callTurn ad-hoc “ask the AI about this error” into repeatable practices and tools teams can rely on. Tooling, platforms & pipelinesPrototype 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 platformsvs. custom agents / assistants (e.g. CLI helpers, ChatOps, AI-assisted runbooks)Integrate GenAI into DevOps/SRE workflows safely:Guardrails for production changesSafe suggestions for infra changes and configHuman-in-the-loop patterns for risky ops Reliability & SRE practicesEmbed GenAI into SRE routines:SLO/SLI definition supportIncident summarization and timeline extractionSuggesting remediation candidates based on past incidentsHelp teams use AI to reduce MTTR, noise in alerts, and toil, without hiding risk. Enable, don’t ownRun 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 impactTrack 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 maintenanceKubernetes / containers and cloud platformsInfra-as-code (e.g. Terraform, Helm, etc.)Monitoring, logging, tracing, incident managementComfortable reading and writing automation code / scripts (e.g. Bash, Python, plus ecosystem YAML/JSON).GenAI understandingYou’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 analysisAI-assisted config/infrastructure changes with guardrailsChatOps-like flows with AI in Slack/TeamsHow you workComfortable 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 worksWe don’t become the long-term DevOps or SRE team for any project.We do:Design patterns and guardrails for GenAI in DevOps/SREProve them on 1–2 projects with real workloadsTurn them into reusable playbooks and templates, then move to the next accountYou’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 flexibleA competitive salary and good compensation packagePersonalized career growthProfessional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)Active tech communities with regular knowledge sharingEducation reimbursementMemorable anniversary presentsCorporate events and team buildingsOther location-specific benefitsnot applicable for freelancers