Senior DevOps Engineer, Couchbase, Confluent

• Design, build and operate AWS infrastructure (EKS/ECS, Lambda, S3, RDS, VPC, IAM)
• Own Couchbase in production, including cluster architecture and sizing, buckets and indexes (GSI), XDCR replication, backup/restore, upgrades, and performance tuning
• Own the Confluent / Kafka platform, including 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
• Work closely with Python backend, data and AI teams

• 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
• Fluent in English and Ukrainian
• Nice to have: 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