Senior Data Platform Engineer – Kafka, PostgreSQL

Mirantis

. Deploy, upgrade, scale, and operate PostgreSQL and Kafka on Kubernetes using CloudNativePG, Strimzi, Helm, and operator custom resources .

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

Core Competencies

Role fit

Core Competencies

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Demonstrates extensive experience in deploying and managing PostgreSQL and Kafka 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 and Argo CD, alongside strong scripting capabilities in 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

PostgreSQLKafkaKubernetesTerraformHelmGoPythonBashArgo CDCI/CD

Tools & Technologies

PrometheusGrafanaOpenTelemetryDebeziumKafka ConnectCloudNativePGStrimzi

Certifications & Qualifications

Bachelor's Degree in Computer Science

Industry Keywords

DevOpsSREInfrastructure EngineeringStateful SystemsHigh AvailabilityDisaster Recovery

Tech Stack

Tools & technologies

CloudFluxGrafanaKafkaKubernetesPostgresPrometheusPythonTerraformGo

About the role

Key responsibilities & impact

Deploy, upgrade, scale, and operate PostgreSQL and Kafka on Kubernetes using CloudNativePG, Strimzi, Helm, and operator custom resources
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
Provide product teams self-service provisioning of databases, users, topics, and ACLs through code
Build monitoring and alerting with Prometheus, Grafana, and OpenTelemetry
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 with 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, 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 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
Ability to work with cloud and/or bare-metal Kubernetes clusters

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
Opportunity to work with talented colleagues and Fortune 500 and Global 2000 customers
Open-source innovation environment
Work environment valuing openness, collaboration, risk-taking, and continuous growth