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.
Key Responsibilities:
- 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.
Requirements (must-have):
- 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:
- 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.
Skills Required
- 5+ years of experience in DevOps, SRE, or 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 and 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
- Production Kubernetes experience, including stateful workloads and operators
- Experience with AWS EKS, ECS, Lambda, S3, RDS, and VPC
- Experience with Terraform and infrastructure as code
- CI/CD pipeline design and ownership experience
- Observability and incident response experience with Prometheus, Grafana, ELK, or CloudWatch
- Docker and containerization experience
- Python and Bash scripting experience
- Strong Linux and networking fundamentals
- Fluency in English and Ukrainian
- Confluent Certified Administrator for Apache Kafka, Couchbase certification, or CKA
- Couchbase Capella or Confluent Cloud managed-service experience
- Experience with Couchbase Autonomous Operator, Confluent for Kubernetes, or Strimzi
- Experience with ksqlDB, Kafka Streams, or CDC pipelines such as Debezium
- ArgoCD or GitOps experience
- Infrastructure experience for ML or LLM workloads
- FinOps or cloud cost optimization experience
What We Do
Commit is a global tech services company with offices in Israel, US, Canada, UK, and Europe. The company was founded in 2005 and has over 700 multi-disciplinary innovation experts who serve a broad range of companies, from small startups to large enterprises in multiple business sectors. Commit specializes in advanced technologies and applications with dedicated practices in Cloud, GenAI, Software, IoT, Big Data, Cyber, Collaboration, Data center migration projects, and more. Commit offers innovative, end-to-end technology solutions by developing custom software and IoT platforms for clients looking to build their next-gen products within the modern ICT world. Commit’s complete and comprehensive engineering powerhouse of resources, and proprietary Flexible R&D methodology helps transform its clients’ technology visions into high-quality products while reducing costs and improving time-to-market.
