platform engineer

The company is a global algorithmic trading firm that drives the full trading cycle, from market research and strategy design to algorithm development and software engineering. It continuously evolves its infrastructure and relies on deep market expertise to stay ahead of the industry.

• Build and operate the Kubernetes (EKS) data platform, including cluster provisioning with Terraform and node autoscaling with Karpenter;
• Operate and scale Airflow on Kubernetes and Spark on EKS;
• Build and manage monitoring and observability for data quality, pipelines, and storage systems;
• Design and maintain AWS data infrastructure, including S3 lifecycle and layout, VPC networking, and storage cost optimization;
• Work 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;
• Integrate and support Project Nessie as a transactional catalog for Data Lakes with Git-like semantics;
• Write infrastructure automation using Python, Bash, and Ansible;
• Document systems, pipelines, and DevOps processes.

• 5+ Years of experience in DevOps, IT Ops, or DataOps roles, including hands-on experience with data-related infrastructure;
• Experience with real-time data streaming, DBT, Project Nessie, and Apache Spark;
• Strong hands-on Kubernetes administration experience, including provisioning, upgrades, and troubleshooting;
• Production experience operating Amazon EKS;
• Hands-on experience with ClickHouse;
• Solid knowledge of AWS, Azure, or GCP services;
• Proficiency in Python, Bash, and Ansible scripting and automation;
• Experience with GitOps and ArgoCD, including Helm, app-of-apps, and debugging OutOfSync/drift;
• Experience with Karpenter or Cluster Autoscaler;
• Strong knowledge of Linux, including networking, kernel tuning, and performance optimization;
• Understanding of data governance concepts;
• Strong communication skills and a proactive, ownership-driven mindset;
• English B2 or higher;
• Nice to have: strong knowledge of AWS services (S3, EC2, IAM, networking), understanding of security in data engineering (IAM, encryption, access control), experience with high-performance systems or trading environments, experience with CloudNativePG, experience with Trino or other distributed SQL query engines over data lakes, familiarity with DBT and data quality tooling/monitoring, Keycloak or similar identity and access management systems.

• Remote-first: work from anywhere;
• Tech-driven environment with no bureaucracy, legacy systems, or tech debt;
• Growth and development in a fast-paced, innovation-driven culture with top talent;
• Medical insurance, sports benefits, home office setup, and educational support.