Frontend Engineer at Pump.co

Cloud spend is a whopping $500 billion/yr, the biggest growing expense category for any tech company - tackling these costs requires continuous effort and time from DevOps teams.

Pump is a building the fastest way to save ~60% on cloud spend. Our AI-powered platform not only fully automates savings but we also leverage the power of group buying for even greater discounts. Our mission is to use AI to transform the status quo of cloud cost optimization.

We are backed by Y Combinator and our founding team consists of seasoned entrepreneurs with prior exits. We have a transparent, collaborative and a fast-paced culture that prioritizes winning with a flat organizational structure.

About Pump.co

Location: San Francisco, CA (Onsite 5 days a week)

Compensation: $100K–$160K salary + 0.05%–0.20% equity

Pump is on a mission to radically simplify AWS cost optimization for teams building in the cloud. We use group buying and AI to help startups save like big tech — often reducing AWS bills by ~60%, completely for free.

As a Frontend Engineer, you’ll play a foundational role in shaping both our product and our company. You’ll work closely with the founding team, contribute across the stack (especially frontend), and help define our technical direction and culture from the ground up.

This is a rare chance to join something early and make a real impact — we hope Pump becomes a career-defining chapter for everyone who joins.

What You’ll Do

• Build intuitive, performant, and scalable interfaces that bring our vision to life

• Contribute across the stack, with a strong emphasis on frontend architecture and best practices

• Work closely with engineers, designers, and founders to ship quickly and iterate based on feedback

• Help define and execute our technical roadmap — balancing technical debt and innovation

• Invent, improve, and maintain development processes, tools, and workflows

• Prototype often and move fast — while maintaining high product quality and UX standards Qualifications

• BS or MS in Computer Science, Engineering, or a related field

• 5+ years of experience as a full stack engineer, with a focus on building scalable and reliable web applications

• Preferably has experience at a Series B+ to pre-IPO company

• Strong proficiency in at least one modern frontend framework — React and Next.js preferred

• Strong proficiency in Python, and familiarity with at least one Python backend framework (e.g. Django, FastAPI, Flask)

• Experience with AWS — knowledge of cloud infrastructure and cost/billing concepts is a plus

• Experience with SQL or NoSQL databases

• Experience with Docker; container orchestration systems like Kubernetes are a plus

• Strong communication skills and ability to collaborate effectively with cross-functional teams

• Enjoys prototyping and experimenting quickly to validate ideas and iterate fast Required Skills

• Deep expertise in JavaScript/TypeScript and frontend development

• Strong architectural understanding of scalable frontend systems

• Experience integrating with backend APIs and working with real-time or dynamic data

• Strong product sense and attention to detail — you care how things look and feel

• Ability to thrive in a fast-paced, ambiguous startup environment and take initiative

• Ability to work onsite 5 days a week Bonus Points For

• Experience at early-stage startups or fast-growth environments (Series A–C, pre-IPO)

• Passion for developer tools, infrastructure, or cloud platforms

• Familiarity with Kubernetes or modern DevOps workflows

• An opinionated eye for clean, simple design and thoughtful UI Benefits

• Competitive salary and meaningful early-stage equity

• High-impact work with autonomy, ownership, and trust

• A collaborative, low-ego team culture that values speed and quality

• Onsite work setup in San Francisco — we’re together 5 days a week and love building side-by-side

• A chance to shape the future of the product, the company, and your own career

• 15-minute interview with our CEO Spandana Nakka

• 1-hour frontend technical interview

• 1-hour algorithms interview

• 30-minute behavioral panel

• Potential dinner onsite (depending on candidate location)

• Offer