platform engineer in fintech

The company is a global algorithmic trading firm that develops technology across the full trading cycle, from market research and strategy design to algorithm development and software engineering. Its infrastructure supports trading research and production systems.

• 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 with Prometheus, Grafana, and Loki 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 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;
• 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 with hands-on experience in 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;
• Hands-on experience operating Amazon EKS in production;
• Hands-on experience with ClickHouse;
• Solid knowledge of cloud services, including AWS, Azure, or GCP;
• Proficiency in scripting and automation with Python, Bash, and Ansible;
• Experience with GitOps and ArgoCD, including Helm, app-of-apps, and debugging OutOfSync or 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 level B2 or higher;
• Nice to have: strong knowledge of AWS services, understanding of security in data engineering, 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 or monitoring, Keycloak or similar identity and access management systems.

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