Devops

We’re seeking a DevOps professional with at least five years of experience to architect, evolve, and fine-tune highly scalable data systems, with a strong emphasis on AWS-based environments. This position is perfect for someone who enjoys tackling intricate engineering problems, collaborating across multiple teams, and contributing to real-time, high-throughput data solutions. You’ll partner with engineering, product, and data teams to keep mission-critical platforms running reliably and efficiently.

The position includes alternating morning/day shifts and participation in an on-call rotation.

Location: Remote (Serbia)

Key Responsibilities

• Design, support, and enhance resilient data pipelines and automated ETL processes
• Set up and administer Elasticsearch or OpenSearch clusters to power complex search and indexing needs
• Build cloud-native infrastructure for secure data ingestion, processing, and storage using AWS or comparable platforms
• Apply DevOps methodologies to streamline CI/CD workflows and deployment operations
• Oversee system performance, ensuring stability, availability, and smooth operation of data-centric platforms
• Work closely with technical and analytical teams to embed data systems into core products and strategic decisions
• Help drive initiatives related to data quality, governance, and security standards
• Create automation for infrastructure and data processes using Python and IaC technologies

Requirements

• 5+ years working in DevOps, data engineering, or data operations roles
• Demonstrated expertise with Elasticsearch or OpenSearch, including configuration, performance tuning, and query optimization
• Strong background with DevOps tooling (e.g., Terraform, Jenkins, GitHub Actions)
• Advanced Python skills for automation and scripting
• Solid SQL knowledge and experience with structured/unstructured datasets (Postgres, Athena, Parquet, Iceberg)
• Hands-on experience with cloud platforms, ideally AWS (S3, Lambda, EC2, Glue, Athena, etc.)
• Understanding of container and orchestration technologies such as Docker and Kubernetes
• Familiarity with workflow management frameworks like Dagster or Airflow
• Proficiency with Git and comfortable working in distributed environments
• Excellent written and spoken English