Impress employers and recruiters.
Choose from hundreds of resume examples.

Target Resume Now

About the Role

As a Reliability Software Engineer in the Data team, you will ensure the performance, stability, and availability of Squarepoint's data ecosystem. This role involves maintaining data pipelines, automating workflows, managing infrastructure, and building tools for observability, regression prevention, and self-serve automation. You will also handle incident triage and resolution, requiring strong engineering skills, analytical thinking, and ownership.

Responsibilities

Build and improve automation that streamlines operational tasks and workflows
Keep Data Development infrastructure healthy via monitoring, observability, and maintenance
Own deployments, support users, lead incident resolution, and plan capacity/performance
Build and monitor production pipelines, onboarding data trials and loading Timeseries for research and trading
Perform root cause analyses and drive remedial actions for incidents
Handle production deployments, config changes, and user requests
Develop a health monitoring platform with configurable monitors and custom checks
Create a platform for scheduling, orchestrating, and validating safe production rollouts
Build a Jira-driven platform that applies operational changes after approvals

Requirements

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

Skills

Python
Linux command line
Relational databases
PostgreSQL
Git
Consul
Grafana
Kibana
Google Cloud
AWS

Experience Level

4+ years

Education Level

Bachelor's degree in Computer Science, Engineering, or a related subject