M
Mirantis
Senior DevOps Engineer (PostgreSQL & Kafka on Kubernetes)
Skills
PythonGolangPostgreSQLKafkaGitLabGrafanaAIPrometheusGitHubKubernetesTerraform
2 days ago
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Important information
Contract type:
Permanent
Location:
United States
Work mode:
Onsite
Published on:
18 October 2026
What they need
- 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 DevOps / SRE role for stateful systems
- You will deploy and operate PostgreSQL (CloudNativePG) and Kafka (Strimzi) on Kubernetes using operators, Helm, and GitOps — 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
- Run PostgreSQL and Kafka on Kubernetes: Deploy, upgrade, scale, and operate CloudNativePG and Strimzi clusters with Helm charts and operator custom resources, across cloud and bare-metal Kubernetes
- GitOps & 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 MirrorMaker 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, OpenTelemetry) 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/OpenBao), 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- Reliability & DR: Designing and testing high availability and disaster recovery for stateful systems, with defined RPO/RTO
- Kubernetes: Strong hands-on Kubernetes operations — StatefulSets, persistent volumes and storage classes, pod disruption budgets, scheduling and affinity, network policies, and cluster upgrades — on cloud and/or bare-metal clusters
- GitOps & IaC: Day-to-day use of Argo CD or Flux, Terraform, and CI/CD pipelines (GitHub Actions, GitLab CI, or similar) in a declarative, review-driven workflow
- Kafka Operations: Running Kafka in production — brokers, topics and partitions, replication, consumer groups, monitoring, and capacity planning
- PostgreSQL Operations: Practical PostgreSQL administration — replication and failover, backup and point-in-time recovery, connection pooling (PgBouncer), version upgrades, and performance troubleshooting
- Operators & Helm: Production experience running PostgreSQL and/or Kafka through Kubernetes operators (CloudNativePG, Zalando, or Crunchy PGO; Strimzi, Confluent for Kubernetes, or similar), and authoring and maintaining Helm charts. Depth with one operator matters more than the specific product
- Automation: Strong scripting and programming in Go (preferred) or Python, plus Bash
- Experience: 8+ years in DevOps, SRE, platform, or infrastructure engineering, including 3+ years running stateful systems (databases or message streaming) in production
- Bachelor’s degree in Computer Science or a related field, or equivalent practical experience
- Observability stacks (Prometheus, Grafana, OpenTelemetry, VictoriaMetrics)
- Cross-region replication (CloudNativePG replica clusters, Kafka MirrorMaker 2) and global/regional multi-site architectures
- Debezium, Kafka Connect, and transactional outbox / CDC patterns
- Identity integration for data platforms (Keycloak, OIDC, LDAP/Active Directory)
- Bare-metal infrastructure, Ceph or object storage, or GPU/AI infrastructure
- Secrets and security tooling (Vault/OpenBao, cert-manager, mTLS)
- Contributions to CloudNativePG, Strimzi, or related open-source projects
- Experience in SOC 2 or ISO 27001 environments
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