Senior DevOps Engineer, Couchbase, Confluent

• Design, build, and operate AWS infrastructure including EKS/ECS, Lambda, S3, RDS, VPC, and IAM
• Own Couchbase production operations, including cluster architecture and sizing, buckets and GSI indexes, XDCR replication, backup/restore, upgrades, and performance tuning
• Own the Confluent/Kafka platform, including topic and partition design, Schema Registry, Kafka Connect connectors, consumer lag, throughput tuning, and upgrades
• Run stateful production Kubernetes workloads, including Couchbase and Kafka operators, Helm, cluster scaling, and upgrades
• Manage infrastructure as code with Terraform
• Build and maintain CI/CD pipelines for application and data services
• Own platform monitoring, logging, and alerting, including Couchbase and Kafka health
• Lead incident response and post-mortems
• Support data and AI/LLM workloads
• Manage and optimize cloud costs
• Work closely with Python backend, data, and AI teams

• 5+ years in DevOps / SRE / platform engineering
• 3+ years running AWS and Kubernetes in production
• Expert-level hands-on production administration of Couchbase Server clusters, including architecture, XDCR, indexing, backup/restore, upgrades, and performance tuning
• Expert-level hands-on production operation of Confluent Platform or Confluent Cloud, including brokers, Schema Registry, Kafka Connect, partitioning, consumer lag, and scaling
• Experience running stateful workloads with Kubernetes operators
• Experience with AWS: EKS, ECS, Lambda, S3, RDS, and VPC
• Terraform / infrastructure as code
• CI/CD pipeline design and ownership
• Observability and incident response using Prometheus, Grafana, ELK / CloudWatch
• Docker / containerization
• Scripting in Python and Bash
• Strong Linux and networking fundamentals
• Based in Poland
• Fluent English

• Remote work
• Full-time employment