Backend Engineer
Builds and maintains backend services for AI-powered cloud cost optimization platform using Python, FastAPI, PostgreSQL, and AWS. Requires 3+ years experience, onsite in San Francisco, with Docker/Kubernetes nice-to-have.
About the job
What You’ll Do
- Design, build, and maintain backend services that power the Pump platform
- Work with the team to define and scope new product features
- Contribute to a strong engineering culture by participating in code reviews and continuous improvement
- Help extend our internal tools, dev workflows, and CI/CD pipelines
- Ensure system reliability, performance, and maintainability
- Collaborate across functions to solve real customer problems with intuitive engineering solutions
What We’re Looking For
- 3–15 years of professional backend engineering experience
- Ability to work 5 days a week in office
- Proficiency in Python and familiarity with FastAPI or similar frameworks
- Experience with SQL databases—we use PostgreSQL
- Comfort working in a cloud environment (AWS preferred)
- Familiarity with containerization and orchestration tools like Docker and Kubernetes (nice to have)
- Excitement about early-stage startups and the ability to thrive in fast-moving environments
- Clear communication and collaborative instincts
Bonus Points For
- Experience with cloud billing/cost tooling
- Interest in or exposure to LLMs or AI integrations
- Familiarity with NoSQL databases like DynamoDB
Benefits
- Comprehensive healthcare and dental coverage
- 401(k) plan
- Generous PTO: 13 accrued days, plus company shutdown December 24—January 1st
- Free lunch & dinner at the office
- Annual company-paid retreats
- Developmental bonuses: support for professional development opportunities tied to cloud and related fields
Minimum Requirements and Pay
- US Citizen/Visa Only - no sponsorships available
- Minimum 3 years of experience
- Base salary USD 120,000-200,000 per year
- Eligible for our highly valuable equity
Skills
Python, FastAPI, Postgres, AWS, Docker, Kubernetes, LLMs, AI, DynamoDB, SQL
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