Role Description
We're looking for a Senior DevOps Engineer to own the company AWS infrastructure and Kubernetes platform, with deep expertise in our data layer: Couchbase and Confluent (Kafka). You'll run these systems in production, keep them fast and reliable as data volumes grow, and work closely with our Python backend, data and AI teams.
-
Design, build and operate AWS infrastructure (EKS/ECS, Lambda, S3, RDS, VPC, IAM).
-
Own Couchbase in production: cluster architecture and sizing, buckets and indexes (GSI), XDCR replication, backup/restore, upgrades, and performance tuning.
-
Own the Confluent / Kafka platform: Confluent Platform or Confluent Cloud, topic and partition design, Schema Registry, Kafka Connect connectors, consumer lag, throughput tuning and upgrades.
-
Run stateful workloads on production Kubernetes, including Couchbase and Kafka operators, Helm, cluster scaling and upgrades.
-
Manage all infrastructure as code with Terraform.
-
Build and maintain CI/CD pipelines for application and data services.
-
Own monitoring, logging and alerting across the platform, including Couchbase and Kafka health; lead incident response and post-mortems.
-
Support data and AI/LLM workloads and keep cloud costs in check.
Qualifications
-
5+ years in DevOps / SRE / platform engineering, with 3+ years running AWS and Kubernetes in production.
-
Expert-level Couchbase: hands-on production administration of Couchbase Server clusters (architecture, XDCR, indexing, backup/restore, upgrades, performance tuning).
-
Expert-level Confluent / Apache Kafka: hands-on production operation of Confluent Platform or Confluent Cloud (brokers, Schema Registry, Kafka Connect, partitioning, consumer lag, scaling).
-
Kubernetes in production, including running stateful workloads with operators.
-
AWS: EKS, ECS, Lambda, S3, RDS, VPC.
-
Terraform / infrastructure as code.
-
CI/CD pipeline design and ownership.
-
Observability and incident response (Prometheus, Grafana, ELK / CloudWatch).
-
Docker / containerization.
-
Scripting in Python and Bash.
-
Strong Linux and networking fundamentals.
-
Based in Poland; fluent English.
Requirements
-
Certifications: Confluent Certified Administrator for Apache Kafka, Couchbase certification, CKA.
-
Couchbase Capella or Confluent Cloud managed-service experience.
-
Couchbase Autonomous Operator or Confluent for Kubernetes / Strimzi.
-
ksqlDB / Kafka Streams; CDC pipelines (e.g. Debezium).
-
ArgoCD / GitOps.
-
Infrastructure for ML/LLM workloads.
-
FinOps / cloud cost optimization.