DevOps / SRE Architect – GenAI Enablement

N-iX is seeking a DevOps / SRE Architect to join their GenAI Adoption team. This role focuses on integrating GenAI into SDLC/SRE workflows, including CI/CD, infrastructure-as-code, observability, and incident response. The architect will design GenAI-augmented workflows, prototype tools, and embed GenAI into SRE routines to reduce MTTR and toil. The position involves enabling project teams to adopt these practices, running workshops, and measuring impact through hard metrics and human feedback, without owning long-term SRE responsibilities.

Must Have

• Design GenAI-augmented workflows for CI/CD, infra-as-code, log/metric analysis, incident triage, and runbook creation.
• Prototype and refine utilities, prompts, and scripts for common stacks (GitHub Actions, Kubernetes, Terraform, Argo CD, observability tools).
• Integrate GenAI into DevOps/SRE workflows safely with guardrails for production changes, safe suggestions for infra changes, and human-in-the-loop patterns.
• Embed GenAI into SRE routines like SLO/SLI definition support, incident summarization, and remediation candidates.
• Run workshops, live demos, and pairing sessions with DevOps/SRE/Platform teams.
• Track hard metrics (deployment frequency, lead time, MTTR, change failure rate, incident volume/noise) and human impact.
• 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), and Monitoring, logging, tracing, incident management.
• Comfortable reading and writing automation code / scripts (e.g. Bash, Python, plus ecosystem YAML/JSON).
• Understanding of LLMs, prompt engineering, and GenAI assistants in the context of DevOps/SRE.
• Comfortable leading change, proposing new workflows, proving value with numbers, and addressing risk concerns.
• Ability to tailor solutions across different clients and environments.
• Clear communicator who can talk to DevOps, SREs, developers, architects, and managers.

Good to Have

• Interest or experience in using AI for log/metric analysis.
• Interest or experience in AI-assisted config/infrastructure changes with guardrails.
• Interest or experience in ChatOps-like flows with AI in Slack/Teams.

Perks & Benefits

• 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

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.

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