Systems Engineer

Overview

• Contribute to the deployment and management of Kubernetes clusters supporting GPU workloads and Helm-based orchestration.
• Maintain and improve data workflow platforms like Airflow, ensuring efficient DAG troubleshooting and best practices.
• Implement modern DevOps practices, including CI/CD pipelines, observability, and infrastructure as code.
• Collaborate with cross-functional teams to extend platform capabilities and integrate emerging AI tooling.
• Participate in incident response and on-call rotations to ensure reliable system operations.
• Support the deployment and maintenance of container infrastructure and deployment processes.
• Create and maintain documentation for IT and end-users, ensuring clear communication and knowledge sharing.
• Drive the adoption of security-first DevSecOps practices, including SAST and CVE scanning.
• Contribute to the management of both on-premise and cloud infrastructure environments.

Key Responsibilities & Duties

• Deploy and manage Kubernetes clusters, supporting GPU workloads and Helm-based orchestration.
• Maintain automation and infrastructure as code practices using Ansible and Terraform.
• Implement CI/CD pipelines and container infrastructure for streamlined deployment processes.
• Participate in observability and incident response, ensuring reliable monitoring and alerting systems.
• Collaborate with development, trading, and security teams to enhance platform capabilities.
• Integrate AI tooling into workflows to improve efficiency and platform functionality.
• Support the deployment and maintenance of Airflow infrastructure, including DAG troubleshooting.
• Document processes and share knowledge effectively across teams and stakeholders.
• Contribute to the management of hybrid infrastructure environments, including on-premise and cloud setups.

Job Requirements

• Bachelor's degree in Computer Science, Engineering, or related technical field.
• 5–7 years of experience in SRE, Platform Engineering, or Systems Administration roles.
• Proficiency in Python scripting and hands-on experience with Kubernetes deployment and management.
• Experience with Docker/Podman, Ansible, and Terraform for infrastructure automation.
• Familiarity with CI/CD workflows and tools like ArgoCD or Flux for GitOps.
• Proficiency with Grafana and Prometheus for monitoring and observability.
• Exposure to DevSecOps practices, including SonarQube and CVE scanning.
• Experience with hybrid infrastructure environments, including AWS and GCP managed via Terraform.
• Excellent communication skills for cross-functional collaboration and documentation.