About The Role
We are seeking a mid-level Software Engineer with strong Python experience to join our growing engineering team. You will design, build, and maintain scalable applications and services, collaborate cross-functionally, and help drive best practices in coding, testing, and deployment.
This role is ideal for an engineer who is comfortable working in fast-moving environments and is passionate about building high-quality software.
This is a full-time hybrid position requiring in-person work three days per week at our South San Francisco office.
Key Responsibilities
- Design, develop, and maintain backend services, APIs, and data pipelines using Python.
- Migrate and convert existing SAS code to Python, ensuring functionality and performance parity.
- Collaborate with product managers, designers, and fellow engineers to define requirements and deliver solutions.
- Write clean, maintainable, and well-tested code.
- Participate in code reviews and provide constructive feedback.
- Debug, troubleshoot, and improve application performance and reliability.
- Contribute to architectural discussions and implementation strategies.
- Help automate workflows and improve development processes.
- Maintain documentation of systems, workflows, and features.
- Support production systems and participate in on-call rotations (if applicable).
Required Qualifications:
- Bachelor’s Degree
- Candidates must be based within 1 Hr. commuting proximity to our office in the San Francisco Peninsula
- 3–5 years of professional software development experience.
- Strong proficiency in Python and familiarity with frameworks such as Django, Flask, or FastAPI.
- Experience building RESTful or GraphQL APIs.
- Solid understanding of software engineering fundamentals: data structures, algorithms, 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).
- Ability to write unit/integration tests.
- Excellent problem-solving and communication skills.
Preferred:
- Experience with AWS services (Lambda, EC2, DynamoDB, S3, API Gateway, etc.).
- Experience with containerization (Docker, Kubernetes).
- Data pipeline or ETL experience.
- Experience with Terraform for infrastructure as code.
- Experience with monitoring and observability tools.
- Experience with SAS.
- Exposure to Agile/Scrum methodologies.
Compensation:
- Generous Benefits: 401(K) matched up to 7%, Flexible Time Off, 12 Paid Holidays, Medical/Dental/Vision/Wellness benefits, Monthly Team Events, Modern Work/Collaboration Spaces
