Job description

About Pump.co Gartner predicts that cloud spend will be over $2T/yr by 2030, making it the fastest-growing expense for tech companies. Managing it well demands constant engineering effort—time that could be spent building your product. At Pump , we're building the fastest way to save ~60% on cloud costs. Our AI-powered platform not only automates savings but also leverages the power of group buying for even deeper discounts. Backed by Y Combinator , we’re on a mission to transform cloud cost optimization through AI. Our founding team includes experienced entrepreneurs with prior exits, and our culture is fast-paced, collaborative, and flat in structure. If you’re excited about shipping real impact and joining a team at an early, career-defining stage—we’d love to meet you. About the Role Skills: Python, FastAPI, PostgreSQL, AWS, Docker, Kubernetes (nice to have), LLM/AI (bonus) As a Backend Engineer , you’ll contribute directly to the core of our product and infrastructure. This role is ideal for someone looking to grow within a strong engineering team while delivering meaningful work that touches real customers. You’ll collaborate closely with engineers, designers, and founders—working across the stack to build, improve, and scale our platform. We are 5 days a week in office. No remote work will be considered. 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 Competitive compensation + equity Comprehensive medical and dental coverage 401(k) plan Generous paid time off, including 13 days of accrued PTO, 9 sick days, all 11 federal holidays, and a company-wide winter break from December 24 through January 1 Free lunch at the office Free access to the building gym Annual company-paid retreats Developmental bonuses: support for professional development tied to cloud and related fields

Requirements

Must-haves

You’ll collaborate closely with engineers, designers, and founders—working across the stack to build, improve, and scale our platform.
We are 5 days a week in office. No remote work will be considered.
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
Excitement about early-stage startups and the ability to thrive in fast-moving environments
Clear communication and collaborative instincts
Experience with cloud billing/cost tooling
Interest in or exposure to LLMs or AI integrations
Familiarity with NoSQL databases like DynamoDB

Nice-to-haves

Skills: Python, FastAPI, PostgreSQL, AWS, Docker, Kubernetes (nice to have), LLM/AI (bonus)
Comfort working in a cloud environment (AWS preferred)
Familiarity with containerization and orchestration tools like Docker and Kubernetes (nice to have)
Bonus Points For

Application prep

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Keywords to mirror

aipythonawsdockerkubernetesllmci/cdsql

Platform: greenhouse
Effort: quick

Benefits

Benefits detected in the listing.

Dental

401(K)

Pto

Paid Time Off

Professional Development