Senior DevOps Engineer – PostgreSQL, Kafka, Kubernetes

Mirantis

. Deploy, upgrade, scale, and operate CloudNativePG PostgreSQL and Strimzi Kafka clusters on cloud and bare-metal Kubernetes .

Posted 10/9/2026full-timeRemote • United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive experience in deploying and managing CloudNativePG PostgreSQL and Strimzi Kafka clusters on Kubernetes, with a strong focus on high availability, disaster recovery, and CI/CD pipeline development. Proficient in infrastructure as code using tools like Terraform, Argo CD, and Helm, alongside practical skills in scripting and programming with Go and Python.

Highest-signal resume keywords

Kubernetes OperationsPostgreSQL AdministrationKafka OperationsInfrastructure as CodeCI/CD Pipeline Development

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

KubernetesPostgreSQLKafkaTerraformArgo CDHelmGoPythonBashDebezium

Tools & Technologies

PrometheusGrafanaOpenTelemetryKeycloakOIDCVaultCert-manager

Industry Keywords

Disaster RecoveryHigh AvailabilityStateful SystemsRPO/RTOObservability StacksSOC 2ISO 27001

Tech Stack

Tools & technologies

CloudFluxGrafanaKafkaKubernetesPostgresPrometheusPythonTerraformVaultGo

About the role

Key responsibilities & impact

Deploy, upgrade, scale, and operate CloudNativePG PostgreSQL and Strimzi Kafka clusters on cloud and bare-metal Kubernetes
Manage infrastructure declaratively with Argo CD or Flux, Helm, and Terraform
Build CI/CD pipelines for database and Kafka changes, schema migrations, and operator upgrades
Design and operate regional high availability and cross-region disaster recovery
Operate PostgreSQL replica clusters, backups, point-in-time recovery, and Kafka MirrorMaker 2
Conduct regular failover drills with defined RPO/RTO targets
Provide product teams self-service provisioning of databases, users, topics, and ACLs through code
Build monitoring and alerting with Prometheus, Grafana, and OpenTelemetry
Monitor replication lag, backups, consumer lag, and capacity
Participate in on-call and lead incident reviews
Implement TLS/mTLS, secrets management, network policies, Kafka ACLs, and per-tenant isolation
Integrate database and Kafka access with Keycloak/OIDC identity platforms
Operate Debezium and Kafka Connect outbox/change-data-capture pipelines
Write automation and small services in Go or Python
Partner with application teams on schema standards and performance troubleshooting

Requirements

What you’ll need

8+ years in DevOps, SRE, platform, or infrastructure engineering
3+ years running stateful systems (databases or message streaming) in production
Strong hands-on Kubernetes operations, including StatefulSets, persistent volumes and storage classes, pod disruption budgets, scheduling and affinity, network policies, and cluster upgrades
Production experience running PostgreSQL and/or Kafka through Kubernetes operators
Experience authoring and maintaining Helm charts
Day-to-day use of Argo CD or Flux, Terraform, and CI/CD pipelines
Practical PostgreSQL administration, including replication and failover, backup and point-in-time recovery, connection pooling with PgBouncer, version upgrades, and performance troubleshooting
Production Kafka operations, including brokers, topics and partitions, replication, consumer groups, monitoring, and capacity planning
Experience designing and testing high availability and disaster recovery for stateful systems, with defined RPO/RTO
Strong scripting and programming in Go or Python, plus Bash
Bachelor's degree in Computer Science or a related field, or equivalent practical experience
Nice-to-have experience with cross-region replication, Debezium, Kafka Connect, transactional outbox/CDC patterns, Keycloak, OIDC, LDAP/Active Directory, observability stacks, Vault/OpenBao, cert-manager, mTLS, bare-metal infrastructure, Ceph or object storage, GPU/AI infrastructure, open-source contributions, and SOC 2 or ISO 27001 environments

Benefits

Comp & perks

Professional development and training
Conference and working group attendance
Company outings, happy hours, hackathons, and tech talks
Competitive compensation package with a strong benefits plan
Remote work arrangement