Site Reliability Engineer improves, manages, and monitors production-critical infrastructure and data pipelines in a finance AI/ML firm. Collaborates on fault-tolerance, deployments, automation, and on-call incident response using Python, Linux, and cloud tools. Requires 2+ years experience and quantitative degree.
120k – 160k
Remote2+ YOEDevOps / SRE
About the role
Responsibilities
Improve fault-tolerance and maintainability of code in proprietary data pipelines and trading systems
Diagnose and fix bugs in code
Lead complex deployments
Automate manual workflows
Track and prioritize outstanding production-related issues
Share an on-call rotation responding to incidents to ensure the continuous operation of production-critical systems
Requirements
Experience with coding and debugging Python
Experience with Linux
Familiarity with Relational Databases & SQL
Sharp analytical and problem-solving skills and a persistent drive to make things work (better)
Strong growth mindset and a passion for learning
Strong technical communication skills
Attention to detail
2 years of relevant industry experience
An undergraduate degree or comparable training in a quantitative field or equivalent, relevant industry experience
Preferred Qualifications
Familiarity with best practices concerning code maintainability, documentation, quality assurance, continuous integration and deployment
Experience supporting production systems
Experience with any of the following: gRPC microservices, Postgres, Pandas, Golang, R, Git, Jenkins, Bazel, Prometheus, Grafana, Airflow, Kubernetes
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