Requirements

Education: Bachelor's degree in Computer Science, Engineering, or a related subject
Experience: 4+ years of proven experience in Software Engineering, Software Reliability, or a similar role
Python: Two or more years of hands-on experience programming in Python
Linux: Proficiency with the Linux command line
Databases: Knowledge of relational databases, primarily PostgreSQL
Tools: Familiarity with Git, Consul, Grafana, Kibana, and cloud platforms such as Google Cloud or AWS
Communication: Excellent verbal and written skills for working effectively within a global team
Mindset: Proactive, detail-oriented, and self-driven with a strong sense of ownership and accountability

What You'll Be Doing

Core Responsibilities
- Automation Systems: Build and improve automation that streamlines operational tasks and workflows
- Infrastructure Management: Keep Data Development infrastructure healthy via monitoring, observability, and maintenance
- Reliability Engineering: Own deployments, support users, lead incident resolution, and plan capacity/performance
- Data Pipelines: Build and monitor production pipelines, onboarding data trials and loading Timeseries for research and trading
Operations Responsibilities
- Incident Management: Perform root cause analyses and drive remedial actions
- Day-to-Day Operations: Handle production deployments, config changes, and user requests
Key Engineering Initiatives
- Observability: Health monitoring platform with configurable monitors and custom checks
- Deployment Automation: Platform for scheduling, orchestrating, and validating safe production rollouts
- Self-Serve Automation: Jira-driven platform that applies operational changes after approvals