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Senior DevOps Engineer (Couchbase & Confluent)

Role overview

Qualifications

  • 5+ years in DevOps / SRE / platform engineering
  • 3+ years running AWS and Kubernetes in production
  • Expert-level Couchbase production administration
  • Expert-level Confluent / Apache Kafka operation

Responsibilities

  • Design, build and operate AWS infrastructure
  • Own Couchbase in production: architecture, XDCR, backups
  • Own the Confluent / Kafka platform: topic design, upgrades
  • Manage infrastructure as code with Terraform

Key facts

Hard skills

Other skills

  • Problem Solving

About the company

Commit logo

Commit

IT Services & IT Consulting

Commit is a global tech services company with offices in New York, Israel, 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 Software, IoT, Big Data, Cloud, 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.

Company details

Company typeSME
IndustryIT Services & IT Consulting
Company size501 - 1000

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Job description

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.

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

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.
  • Based in Poland; fluent English.

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.

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MR

Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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