DevOps Engineer (Data)

We are a global algorithmic trading firm with an advanced technology stack, driving the full trading cycle — from market research and strategy design to algorithm development and software engineering. Our strength lies in deep market expertise and the continuous evolution of our infrastructure to stay ahead of the industry.

We are looking for a DevOps Engineer (Data Focus) to strengthen our Data Engineering team. This role is focused on building and maintaining reliable and scalable data infrastructure that powers our trading research and production systems.

Responsibilities

• Build and operate our Kubernetes (EKS) data platform: cluster provisioning with Terraform, node autoscaling with Karpenter.
• Operate and scale Airflow on Kubernetes and Spark on EKS.
• Build and manage monitoring and observability (Prometheus, Grafana, Loki) for data quality (DBT), pipelines, and storage systems.
• Design and maintain AWS data infrastructure: S3 lifecycle and layout, VPC networking, 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/Ansible.
• Document systems, pipelines, and DevOps processes.

Qualifications:

• Strong hands-on experience with Apache Airflow.
• 5+ years of experience in DevOps/IT Ops/DataOps roles, with hands-on experience in data-related infrastructure.
• Strong knowledge of Linux (networking, kernel tuning, performance optimization).
• Hands-on experience operating Amazon EKS in production.
• Experience with GitOps and ArgoCD: Helm, app-of-apps, debugging OutOfSync/drift.
• Experience with Karpenter (or Cluster Autoscaler).
• Hands-on experience with ClickHouse.
• Solid knowledge of cloud services (AWS/Azure/GCP).
• Proficiency in scripting and automation (Python, Bash, Ansible).
• Experience with CI/CD pipelines (GitLab).
• Experience with monitoring stacks (Prometheus, Grafana, ELK).
• Familiarity with Docker containerization and orchestration.
• Understanding of data governance concepts.
• Strong communication skills and a proactive, ownership-driven mindset.
• English level B2 or higher.

Nice to have:

• Experience with real-time data streaming, DBT, Project Nessie, Apache Spark.
• Strong knowledge of AWS services (S3, EC2, IAM, networking).
• Skills in working with Infrastructure as Code (Terraform).
• Understanding of security in data engineering (IAM, encryption, access control).
• Experience with high-performance systems or in trading environments.

What we offer:

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