Software Developer - Data Reliability

Position Overview

As a Reliability Software Engineer in the Data team, you will play a critical role in ensuring the performance, stability, and availability of Squarepoint's data ecosystem. The team's mandate spans maintaining critical data pipelines, automating operational workflows, managing infrastructure, and building tools focused on observability, regression prevention, and self-serve automation. The team also serves as a key operational hub within Data Development, handling everything from incident triage to active resolution, making this a high-responsibility role that demands strong engineering skills, sharp analytical thinking, and a deep sense of ownership.

Responsibilities

• 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

• Required Qualifications

• • 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