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DevOps / SRE Architect GenAI Enablement
DevOps / SRE Architect GenAI EnablementN-iX • Long Beach, CA, United States
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DevOps / SRE Architect GenAI Enablement

DevOps / SRE Architect GenAI Enablement

N-iX • Long Beach, CA, United States
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GenAI Adoption Leader

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 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 :

  • 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.
  • 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
  • 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.
  • 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.
  • 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).
  • 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 12 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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    DevOps SRE Architect GenAI Enablement • Long Beach, CA, United States