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    EI

    eiGroup

    AI Engineering

    DevOps Engineer

    Baku, AzerbaijanOn-SiteFull-time3+ yrs experiencePosted 1w ago
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    Job description

    DevOps Engineer

    Location: Baku, Azerbaijan

    Type: Full-time

    Company: DRL LLC

    About eiGroup

    At eiGroup, we believe ideas can change industries - but only if they are nurtured with structure, science, and courage.

    We’re an R&D and Innovation Venture Studio that transforms human ingenuity into technological value that scales.

    Our ecosystem brings together researchers, engineers, and creators who turn complex challenges into scalable products - from subsurface imaging to AI-driven analytics, from remote sensing to digital transformation.

    Our ventures are built in-house, born from research, and grown into independent companies.

    Together, we’re shaping how innovation takes root in this region - and how it reaches the world.

    What You'll Do

    • Own CI/CD across Azure Pipelines and GitLab CI: YAML pipelines, multi-stage builds, environment promotion, approvals, artifact and container publishing, shared templates so each team isn't reinventing its own build
    • Provision and run our Kubernetes clusters, including standing up new ones from scratch with Rancher: workloads, ingress, secrets, resource limits, autoscaling, rollout and rollback strategy, Helm charts, version upgrades and etcd backups
    • Own our Azure estate — App Services, compute, networking, storage, Key Vault, managed identities — alongside self-hosted services running on our own infrastructure, including cost hygiene and right-sizing
    • Introduce Infrastructure as Code (Terraform or Bicep) from a largely manual starting point: reusable modules, state management, real parity between environments
    • Build and maintain monitoring and alerting: metrics collection, Grafana dashboards the teams actually use, centralised logging, and alerts that fire on real problems rather than noise
    • Own production: releases, incident response, root cause, backup and restore drills, and an on-call rotation designed to stay quiet
    • Manage secrets and access properly (Key Vault, managed identities, Entra ID, least-privilege RBAC) and put secret, dependency and image scanning into the pipelines
    • Work with the Project Managers across our ventures: take in infrastructure requests, prioritise them honestly against each other, and propose the cheaper version when there is one
    • Plan and report your work in Azure DevOps — break requests into tasks, create your own where the work originates with you, keep status current, and raise blockers early enough that PMs can plan around them

    What You Bring

    • 3+ years in DevOps, SRE or platform engineering, with real production ownership
    • Strong hands-on Linux — comfortable in the shell, able to debug a failing service without a UI
    • Proven CI/CD experience with Azure Pipelines, GitLab CI or equivalent, including pipelines other teams depend on
    • Kubernetes in production: deployments, services, ingress, config and secrets, RBAC, autoscaling — and the ability to diagnose why a pod won't start or a rollout is stuck. Helm for packaging. You have built a cluster from scratch, not only deployed into one
    • Solid Docker fundamentals: multi-stage builds, image size, base image hygiene
    • Microsoft Azure: compute, networking, storage, Key Vault, managed identities, Entra ID, Azure Monitor
    • Infrastructure as Code with Terraform or Bicep — nice to have
    • Scripting in Bash plus Python or PowerShell — enough to automate a task properly instead of documenting a manual one
    • Networking fundamentals: DNS, TLS and certificates, reverse proxies, load balancing, VNets, subnets, NSGs, firewall rules
    • Databases from the operations side: backups and tested restores, connection pooling, working with developers on a slow query
    • Sound security instincts — you notice the exposed secret, the public endpoint, the permission nobody needed
    • Able to serve multiple teams with competing requests, work independently, estimate credibly and flag risk early
    • Good written and verbal communication in English

    Our benefits include:

    • Medical insurance (family coverage)
    • Flexible working hours
    • Wellness program
    • Childcare support
    • Company-provided lunch

    Job details are sourced from the employer's original posting.

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    EI

    About the company

    eiGroup

    eiGroup is a company that provides AI engineering services.

    View all eiGroup jobs
    Industry
    AI Engineering
    Open roles
    5

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