devops engineer in fintech

The data infrastructure powers trading research and production systems through reliable, scalable, and observable platforms.

• Design, implement, and maintain DevOps tooling for data pipelines and data platforms;
• Support and automate ETL workflows, including Spark and Airflow;
• Build and manage monitoring and observability for data quality, data pipelines, and storage systems;
• Implement and maintain data storage infrastructure on AWS, including S3, EC2, and networking;
• Integrate and support Project Nessie as a transactional catalog for Data Lakes with Git-like semantics;
• Work closely with Data Engineers to ensure smooth deployment, versioning, and scaling of data jobs and pipelines;
• Automate deployment and CI/CD processes with GitLab CI/CD;
• Ensure security best practices for sensitive data handling;
• Write infrastructure automation using Python, Bash, and Ansible;
• Document systems, pipelines, and DevOps processes.

• 5+ Years in a DevOps, IT Ops, or DataOps role with hands-on experience in data-related infrastructure;
• Strong Linux knowledge, including networking, kernel tuning, and performance optimization;
• Hands-on experience with Airflow, ClickHouse, DBT, Spark, and Project Nessie;
• Solid knowledge of AWS services, including S3, EC2, IAM, and networking;
• Proficiency in scripting and automation with Python, Bash, and Ansible;
• Experience with CI/CD pipelines using GitLab;
• Experience with monitoring stacks, including Prometheus, Grafana, and ELK;
• Familiarity with containerization and orchestration using Docker and Kubernetes;
• Understanding of data governance concepts;
• Strong communication skills and a proactive, ownership-driven mindset;
• English B2+;
• Nice to have: experience with real-time data streaming, knowledge of infrastructure as code with Terraform, familiarity with security in data engineering including IAM, encryption, and access control, background in high-performance systems or trading environments.

• B2B engagement.