{"id":1099865,"url":"https://alion.io/job/mirantis-senior-site-reliability-engineer","title":"Senior Site Reliability Engineer","company":{"id":5338,"name":"Mirantis","domain":"mirantis.com","url":"https://alion.io/company/mirantis","size_band":"501-1000","is_staffing_agency":false,"is_intermediary":false,"ats_vendor":"SmartRecruiters","truth_index":{"grade":"B","score":80,"open_postings":3,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":20,"computed_at":"2026-09-24T05:45:00Z"}},"role":"DevOps","role_family":"DevOps","seniority":"senior","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"hiring_geo_confidence":"structured","locations":["Hyderabad, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":26000,"max_usd":56000,"period":"year","method":"role_seniority_country_cell","sample_n":8},"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"Ansible","optional":false},{"name":"Apache Kafka","optional":false},{"name":"API Gateway","optional":false},{"name":"ArgoCD","optional":false},{"name":"AWS","optional":false},{"name":"Bootstrap","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"GitHub Actions","optional":false},{"name":"GitOps","optional":false},{"name":"Go","optional":false},{"name":"Grafana","optional":false},{"name":"Helm","optional":false},{"name":"IAM","optional":false},{"name":"Keycloak","optional":false},{"name":"kubectl","optional":false},{"name":"Kubernetes","optional":false},{"name":"Least Privilege","optional":false},{"name":"Machine Learning","optional":false},{"name":"Platform Engineering","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Prometheus","optional":false},{"name":"SLI/SLO/SLA","optional":false},{"name":"Terraform","optional":false},{"name":"ISO 27001","optional":true},{"name":"JavaScript","optional":true},{"name":"Kyverno","optional":true},{"name":"OpenStack","optional":true},{"name":"OpenTelemetry","optional":true},{"name":"Pytest","optional":true},{"name":"Python","optional":true},{"name":"Service Mesh","optional":true},{"name":"SOC 2","optional":true}],"status":"live","first_seen_at":"2026-09-21T14:47:32Z","employer_posted_date":"2026-09-21","last_verified_at":"2026-09-24T00:09:37Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"Mirantis, an IREN company, is the Kubernetes-native AI infrastructure company, enabling organizations to build and operate scalable, secure, and sovereign infrastructure for modern AI, machine learning, and data-intensive applications. By combining open source innovation with deep expertise in Kubernetes orchestration, Mirantis empowers platform engineering teams to deliver composable, production-ready developer platforms across any environment-on-premises, in the cloud, at the edge, or in sovereign data centers. As enterprises navigate the growing complexity of AI-driven workloads, Mirantis delivers the automation, GPU orchestration, and policy-driven control needed to manage infrastructure with confidence and agility. Committed to open standards and freedom from lock-in, Mirantis ensures that customers retain full control of their infrastructure strategy. https://www.mirantis.com/\n We are looking for a senior Kubernetes-focused DevOps/SRE engineer to own both the developer platform and a customer-facing production region of a multi-tenant control plane for enterprise GPU infrastructure. You will build and run the environments, pipelines, and infrastructure tooling that our engineering teams across the US, Europe, and APAC depend on to ship daily.\nThis role spans both sides of the line. You will make our development, test, and pre-production clusters fast and reproducible, harden the Helm and CI/CD path from commit to release, and carry operational ownership - including on-call - for one of our smaller customer-facing production regions, under real availability commitments. That production experience makes you the internal expert on how k0rdent AI is deployed and operated - the person other teams consult, including the teams running our larger regions. Working within an agile framework, you will directly shape how quickly and safely changes reach production, and be accountable for how they behave once there.\nMain Responsibilities:\nOwn the Kubernetes footprint across development, CI, pre-production, and one customer-facing production region - local kind clusters, shared dev and QA environments, and multi-cluster/multi-region topologies.\n\nOperate your production region against defined SLOs: capacity and upgrade planning, patching, backup and restore, disaster recovery drills, and participation in an on-call rotation.\n\nLead incident response for your region - detection, mitigation, customer-impact assessment, root-cause analysis, and blameless postmortems that feed fixes back into the platform.\n\nBuild and maintain Helm charts and umbrella releases for the platform's services and dependencies, including versioning, values hygiene, and upgrade paths.\n\nOwn the CI/CD pipelines end to end - build, test, image publishing, chart packaging, release cutting, and hotfix/backport flows.\n\nAutomate environment bootstrap and seeding so any engineer can bring up a full stack - control plane, identity, gateway, database, workflow engine - with one command.\n\nOperate and troubleshoot the supporting stack across test and production: PostgreSQL, Temporal, Keycloak, API gateway, message broker, and observability components.\n\nBuild observability and diagnostics - metrics, dashboards, alerting, log and audit access - that serve both engineering environments and production operations.\n\nConsult with product teams and with the teams operating our larger regions on deployment topology, GPU and resource scheduling, RBAC, networking, and failure modes; validate upgrade and migration procedures and hand over runbooks.\n\nEnforce security and tenant isolation in production: least-privilege access, secret handling, certificate and TLS lifecycle, image and dependency scanning, and audit evidence for compliance reviews.\n\nDrive infrastructure as code and repeatability - no snowflake environments, no undocumented manual steps.\n\nMentor engineers on Kubernetes and operational practice, and raise the team's bar through review and documentation.\n\n Required Skills/Abilities:\n10+ years in DevOps, SRE, platform, or infrastructure engineering, including production ownership of customer-facing Kubernetes environments.\n\nExpert-level Kubernetes: workloads, networking, storage, RBAC, resource management, CRDs and operators, and cluster upgrades - able to debug from kubectl and cluster internals rather than dashboards alone.\n\nProven incident response under SLA pressure - on-call rotations, escalation paths, postmortems, and follow-through on corrective action.\n\nStrong CI/CD engineering - pipelines as code, reproducible builds, artifact and release management (GitHub Actions or equivalent).\n\nSolid scripting and automation ability, and enough Go familiarity to read service code, trace a failure into it, and file a precise bug.\n\nExperience running the stateful supporting stack - relational databases, identity providers, gateways, and message brokers - in Kubernetes, including backup, restore, and upgrade.\n\nTrack record as a technical consultant to other engineering teams: clear runbooks, design feedback, and incident write-ups across global time zones (strong written English).\n\nMust Have\nWe expect deep production experience in several of these, and the engineering fundamentals to learn the rest rapidly.\nKubernetes Native: Kubernetes at scale, Cluster API, controllers/operators, Docker, and Helm chart authoring and lifecycle management.\n\nDelivery: GitHub Actions or equivalent CI/CD, container registries, versioned release and backport workflows.\n\nInfrastructure as Code: Terraform, Ansible, or equivalent, plus GitOps tooling (Argo CD, Flux).\n\nIdentity & API Management: Keycloak and API gateway operation - routing, plugins, TLS, rate limiting.\n\nData & Messaging: PostgreSQL operations and migrations, plus streaming/message-broker platforms (Kafka or equivalent).\n\nObservability: Prometheus, Grafana, centralized logging, and alerting tied to SLOs.\n\nCloud: AWS- networking, IAM, load balancing, and managed Kubernetes\n\nNice to Have\nk0s or k0rdent ecosystem experience.\n\nGPU infrastructure on Kubernetes - device plugins, node feature discovery, scheduling and sharing of accelerators.\n\nTemporal operations - namespaces, workers, schema upgrades.\n\nBare-metal provisioning (Metal³ / BareMetalHost) or on-prem/OpenStack environments.\n\nMulti-region topologies, service mesh, or cross-cluster networking.\n\nPython for test harnesses and automation; experience with pytest-based E2E suites.\n\nLoad and performance testing of API platforms.\n\nPolicy enforcement (OPA/Kyverno), secret management, and pen-test remediation.\n\nOpenTelemetry, distributed tracing, or formal SLO/error-budget practice.\n\nCompliance exposure - SOC 2, ISO 27001, or similar audit support.\n\nCNCF open-source contributions.\n\nEducation and Experience:\nBachelor’s degree in Computer Science & Engineering or related field or 10 years related experience.\n\n What does Mirantis offer you?\nWork with an established Silicon Valley leader in the cloud infrastructure industry;\nWork with exceptionally passionate, talented and engaging colleagues, helping Fortune 500 and Global 2000 customers implement next-generation cloud technologies;\nBe a part of cutting-edge, open-source innovation;\nThrive in the high-energy environment of a young company where openness, collaboration, risk-taking, and continuous growth are valued;\nProfessional development and training;\nAttend conferences and working groups;\nCompany outings, happy hours, hackathons, and tech talks;\nReceive a competitive compensation package with a strong benefits plan.\nWe are a Leader for Container Management in G2 (#2 after AWS)!","description_format":"text","description_chars":7598,"description_truncated":false,"requirements":{"experience_years_min":10,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[{"language":"English","level":"All levels","optional":false}]},"benefits":["Professional development"],"hiring_locations":[{"name":"India","iso":"IN","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","Information Technology","AI Infrastructure"],"lifecycle":[{"event":"open","at":"2026-09-21T21:29:22Z"}],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":2,"expected_fill_days":20,"reasons":["conf:5","velocity","win:early"],"computed_at":"2026-09-24T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/mirantis-senior-site-reliability-engineer","json_url":"https://alion.io/job/mirantis-senior-site-reliability-engineer.json","meta":{"generated_at":"2026-09-24T09:25:29Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers"}}