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Senior Devops Engineer – Postgresql & Kafka Kubernetes Mirantis Remote

Remote / Online - Candidates ideally in
Oregon, USA
Listing for: Artha
Full Time, Remote/Work from Home position
Listed on 2026-10-13
Job specializations:
  • IT/Tech
    SRE/Site Reliability, Disaster Recovery IT, Cloud Computing: Infrastructure & Operations
Salary/Wage Range or Industry Benchmark: 150000 - 200000 USD Yearly USD 150000.00 200000.00 YEAR
Job Description & How to Apply Below
About the Job

Company 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.  Description

We are looking for a Senior Data Platform Engineer to run the PostgreSQL and Apache Kafka platform behind k0rdent-ai — our multi-tenant control plane for enterprise GPU infrastructure. Every cluster provisioned, every GPU‑hour consumed, and every tenant action is recorded on this platform, so it must be reliable, secure, and recoverable.

This is a hands‑on Dev Ops / SRE role for stateful systems. You will deploy and operate PostgreSQL (CloudNative PG) and Kafka (Strimzi) on Kubernetes using operators, Helm, and Git Ops — across cloud and bare‑metal clusters, in a global control plane and multiple regions. You will own automation, upgrades, observability, backups, and disaster recovery, and give product teams self‑service access to databases and topics through code.

Main

Responsibilities
  • Run PostgreSQL and Kafka on Kubernetes:
    Deploy, upgrade, scale, and operate Cloud

    NativePG and Strimzi clusters with Helm charts and operator custom resources, across cloud and bare‑metal Kubernetes.
  • Git Ops & Infrastructure as Code:
    Manage everything declaratively with Argo CD (or Flux), Helm, and Terraform; build CI/CD pipelines for database and Kafka changes, schema migrations, and operator upgrades.
  • High Availability & Disaster Recovery:
    Design and operate high availability within each region and cross‑region disaster recovery — PostgreSQL replica clusters, backups and point‑in‑time recovery, Kafka Mirror Maker 2 — with defined RPO/RTO targets and regular failover drills.
  • Self‑Service Platform:
    Give product teams self‑service provisioning of databases, users, topics, and ACLs through code, with secure defaults and guardrails.
  • Observability & Operations:
    Build monitoring and alerting (Prometheus, Grafana, Open Telemetry) for replication lag, backups, consumer lag, and capacity; participate in on‑call and lead incident reviews.
  • Security & Multi‑Tenancy:
    Implement TLS/mTLS, secrets management (Vault/Open Bao), network policies, Kafka ACLs, and per‑tenant isolation; integrate database and Kafka access with our identity platform (Keycloak / OIDC).
  • Data Movement & CDC:
    Operate the outbox and change‑data‑capture pipelines (Debezium, Kafka Connect) that keep databases and event streams consistent between the global control plane and regions.
  • Automation & Tooling:
    Write automation and small services in Go or Python to remove manual work, and partner with application teams on schema standards and performance troubleshooting.
Qualifications

Must Have

  • Experience:

    8+ years in Dev Ops, SRE, platform, or infrastructure engineering, including 3+ years running stateful systems (databases or message streaming) in production.
  • Kubernetes:
    Strong hands‑on Kubernetes operations — Stateful Sets, persistent volumes and storage classes, pod disruption budgets, scheduling and affinity, network policies, and cluster upgrades — on cloud…
Position Requirements
10+ Years work experience
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