Overview

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.

Responsibilities

• Own 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.
• Operate your production region against defined SLOs: capacity and upgrade planning, patching, backup and restore, disaster recovery drills, and participation in an on-call rotation.
• Lead incident response for your region — detection, mitigation, customer-impact assessment, root-cause analysis, and blameless postmortems that feed fixes back into the platform.
• Build and maintain Helm charts and umbrella releases for the platform's services and dependencies, including versioning, values hygiene, and upgrade paths.
• Own the CI/CD pipelines end to end — build, test, image publishing, chart packaging, release cutting, and hotfix/backport flows.
• Automate environment bootstrap and seeding so any engineer can bring up a full stack — control plane, identity, gateway, database, workflow engine — with one command.
• Operate and troubleshoot the supporting stack across test and production: PostgreSQL, Temporal, Keycloak, API gateway, message broker, and observability components.
• Build observability and diagnostics — metrics, dashboards, alerting, log and audit access — that serve both engineering environments and production operations.
• Consult 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.
• Enforce 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.
• Drive infrastructure as code and repeatability — no snowflake environments, no undocumented manual steps.
• Mentor engineers on Kubernetes and operational practice, and raise the team's bar through review and documentation.

Qualifications

• 10+ years in DevOps, SRE, platform, or infrastructure engineering, including production ownership of customer-facing Kubernetes environments.
• Expert-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.
• Proven incident response under SLA pressure — on-call rotations, escalation paths, postmortems, and follow-through on corrective action.
• Strong CI/CD engineering — pipelines as code, reproducible builds, artifact and release management (GitHub Actions or equivalent).
• Solid scripting and automation ability, and enough Go familiarity to read service code, trace a failure into it, and file a precise bug.
• Experience running the stateful supporting stack — relational databases, identity providers, gateways, and message brokers — in Kubernetes, including backup, restore, and upgrade.
• Track record as a technical consultant to other engineering teams: clear runbooks, design feedback, and incident write-ups across global time zones (strong written English).
• Kubernetes Native: Kubernetes at scale, Cluster API, controllers/operators, Docker, and Helm chart authoring and lifecycle management.
• Delivery: GitHub Actions or equivalent CI/CD, container registries, versioned release and backport workflows.
• Infrastructure as Code: Terraform, Ansible, or equivalent, plus GitOps tooling (Argo CD, Flux).
• Identity & API Management: Keycloak and API gateway operation — routing, plugins, TLS, rate limiting.
• Data & Messaging: PostgreSQL operations and migrations, plus streaming/message-broker platforms (Kafka or equivalent).
• Observability: Prometheus, Grafana, centralized logging, and alerting tied to SLOs.
• Cloud: AWS— networking, IAM, load balancing, and managed Kubernetes

Nice to have

• k0s or k0rdent ecosystem experience.
• GPU infrastructure on Kubernetes — device plugins, node feature discovery, scheduling and sharing of accelerators.
• Temporal operations — namespaces, workers, schema upgrades.
• Bare-metal provisioning (Metal³ / BareMetalHost) or on-prem/OpenStack environments.
• Multi-region topologies, service mesh, or cross-cluster networking.
• Python for test harnesses and automation; experience with pytest-based E2E suites.
• Load and performance testing of API platforms.
• Policy enforcement (OPA/Kyverno), secret management, and pen-test remediation.
• OpenTelemetry, distributed tracing, or formal SLO/error-budget practice.
• Compliance exposure — SOC 2, ISO 27001, or similar audit support.
• CNCF open-source contributions.

Education

• Bachelor’s degree in Computer Science & Engineering or related field or 10 years related experience.
• Work with an established Silicon Valley leader in the cloud infrastructure industry;
• Work with exceptionally passionate, talented and engaging colleagues, helping Fortune 500 and Global 2000 customers implement next-generation cloud technologies;
• Be a part of cutting-edge, open-source innovation;
• Thrive in the high-energy environment of a young company where openness, collaboration, risk-taking, and continuous growth are valued;
• Professional development and training;
• Attend conferences and working groups;
• Company outings, happy hours, hackathons, and tech talks;
• Receive a competitive compensation package with a strong benefits plan.