divh2GenAI Adoption Leader/h2pN-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./ppWere 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 dont become their on-call SRE or platform owner.
You enable, prove it on real workloads, and move to the next account.
If youre 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./ppResponsibilities:
/pulliDesign GenAI-augmented workflows for:
/liulliCI/CD (pipeline authoring, YAML generation, policy-as-code help)/liliInfra-as-code (Terraform/Kubernetes manifests refactoring, reviews)/liliLog metric analysis, incident triage, post-mortems/liliRunbook creation and knowledge search for on-call/li/ulliTurn ad-hoc ask the AI about this error into repeatable practices and tools teams can rely on./li/ululliPrototype and refine utilities, prompts, and scripts that plug into common stacks:
GitHub Actions / GitLab CI / Jenkins, Kubernetes, Helm, Terraform, Argo CD, observability tools, etc./liliExplore and form a view on platform vs custom:
/liulliBuilt-in AI for ops features in cloud/observability platforms/lilivs.
custom agents / assistants (e.g.
CLI helpers, ChatOps, AI-assisted runbooks)/li/ulliIntegrate GenAI into DevOps/SRE workflows safely:
/liulliGuardrails for production changes/liliSafe suggestions for infra changes and config/liliHuman-in-the-loop patterns for risky ops/li/ul/ululliEmbed GenAI into SRE routines:
/liulliSLO/SLI definition support/liliIncident summarization and timeline extraction/liliSuggesting remediation candidates based on past incidents/li/ulliHelp teams use AI to reduce MTTR, noise in alerts, and toil, without hiding risk./li/ululliRun workshops, live demos, and pairing sessions with DevOps/SRE/Platform teams./liliHelp teams move from AI as a side toy to documented, auditable, and safe usage in their pipelines and runbooks./liliCapture patterns as GenAI Value Lab playbooks, templates, and case studies that other accounts can reuse./li/ululliTrack hard metrics like deployment frequency, lead time, MTTR, change failure rate, incident volume/noise./liliTrack human impact:
less manual grunt work, faster root cause analysis, clearer runbooks, less on-call pain./liliTurn improvements into stories and examples that make adoption easier for the next team./li/ulpRequirements:
/pulliProven experience as DevOps Engineer / SRE / Platform Engineer, ideally at senior/architect level./liliStrong base in:
/liulliCI/CD design and maintenance/liliKubernetes / containers and cloud platforms/liliInfra-as-code (e.g.
Terraform, Helm, etc.)/liliMonitoring, logging, tracing, incident management/li/ulliComfortable reading and writing automation code / scripts (e.g.
Bash, Python, plus ecosystem YAML/JSON)./li/ululliYouve already used GenAI for your work (even informally):
generating pipeline YAML, debugging infra issues, summarizing logs, writing runbooks, etc./liliUnderstanding of LLMs, prompt engineering, and GenAI assistants in the context of DevOps/SRE./liliInterest or experience in:
/liulliUsing AI for log/metric analysis/liliAI-assisted config/infrastructure changes with guardrails/liliChatOps-like flows with AI in Slack/Teams/li/ul/ulpHow you work:
/pulliComfortable leading change:
proposing new workflows, proving value with numbers, and addressing risk concerns./liliCan tailor solutions across different clients and environments (compliance-heavy vs flexible, mature vs early-stage)./liliClear communicator who can talk to DevOps, SREs, developers, architects, and managers without over-selling./li/ulpHow GenAI Value Lab works:
/pulliWe dont become the long-term DevOps or SRE team for any project./liliWe do:
/liulliDesign patterns and guardrails for GenAI in DevOps/SRE/liliProve them on 12 projects with real workloads/liliTurn them into reusable playbooks and templates, then move to the next account/li/ul/ulpYoull 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 youre 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 wed like to talk./ppWe offer:
/pulliFlexible working format - remote, office-based or flexible/liliA competitive salary and good compensation package/liliPersonalized career growth/liliProfessional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)/liliActive tech communities with regular knowledge sharing/liliEducation reimbursement/liliMemorable anniversary presents/liliCorporate events and team buildings/liliOther location-specific benefits/li/ulp
• not applicable for freelancers/p/div
