About The Role
We are seeking a Software Engineer with solid Python experience to join our growing engineering team. You will monitor, maintain, and troubleshoot production systems and services, respond to incidents, and help drive reliability, automation, and operational excellence across our platform.
This role is ideal for an early-career engineer who is comfortable working in fast-moving environments and is passionate about keeping systems running reliably.
This is a 3-month contract position with the option to convert to full-time.
Key Responsibilities
- Monitor production systems, services, and data pipelines to ensure availability, performance, and reliability.
- Respond to, triage, and resolve production incidents, and participate in on-call rotations.
- Debug and troubleshoot application and infrastructure issues across the stack.
- Support the migration and conversion of existing SAS code to Python, ensuring functionality and performance parity.
- Develop and maintain scripts, tooling, and automation with Python to reduce manual toil and improve operational workflows.
- Collaborate with software engineers, product managers, and other stakeholders to diagnose issues and implement fixes.
- Perform root-cause analysis and drive follow-up remediation to prevent recurring issues.
- Maintain and improve monitoring, alerting, and observability across services.
- Document systems, runbooks, incident procedures, and workflows.
- Contribute to improving deployment, release, and CI/CD processes.
Required Qualifications
- Candidates must be based within 1 Hr. commuting proximity to our office in the San Francisco Peninsula.
- 1–2 years of professional software development or production support experience.
- Proficiency in Python and comfort writing scripts for automation and tooling.
- Solid understanding of software engineering fundamentals: data structures, algorithms, and OOP.
- Experience with relational and/or NoSQL databases (e.g., PostgreSQL, MySQL, MongoDB).
- Familiarity with version control (Git) and CI/CD pipelines.
- Working knowledge of cloud platforms (AWS, GCP, or Azure).
- Experience troubleshooting and debugging production issues.
- Excellent problem-solving and communication skills.
Preferred
- Experience with AWS services (Lambda, EC2, DynamoDB, S3, API Gateway, etc.).
- Experience with containerization (Docker, Kubernetes).
- Experience with monitoring and observability tools.
- Data pipeline or ETL experience.
- Experience with Terraform for infrastructure as code.
- Familiarity with RESTful or GraphQL APIs.
- Exposure to Agile/Scrum methodologies.
Compensation
$50 - $60/HR
