Drive architectural design of backend services, ensure security and efficiency, and manage production services on AWS EKS.
ABOUT RETOOL
Nearly every company in the world runs on custom software for critical operations like tracking performance metrics, handling customer support workflows, building admin dashboards, and countless other processes you might not have even thought of. But most companies don't have adequate resources to properly invest in these tools, leading to a lot of old and clunky internal software or, even worse, users still stuck in manual and spreadsheet flows.
At Retool, we’re building the first enterprise AppGen platform: software that transforms natural language into production-ready code, integrates directly with business data, and meets the highest standards of security and governance. AI is redefining what it means to build software—and who gets to build it. The definition of “developer” now includes analysts, operators, and domain experts creating solutions directly. As the pool of builders widens, so does the complexity of what they need to build. The opportunity is enormous, but so is the challenge of enabling this larger community to build production-grade software safely. That means AI that understands real business data, enforces enterprise policies automatically, and empowers teams to create once and reuse everywhere with shared, trusted components.
Over 100 million hours of work has been automated by developers and domain experts using our platform, freeing them to focus on creative problem-solving and strategic initiatives that drive real business value. The people closest to knowing what needs to be built can now safely create custom solutions within enterprise guardrails. And that's a mission worth striving for.
Let's build the future together!
WHY WE'RE LOOKING FOR YOU
Retool started as a way to address obstacles with internal tools and has grown into a company that solves internal tooling for thousands of companies (big and small). We’ve done a lot with a little – we have a growing engineering team and a laundry list of features and foundational improvements we want to tackle.
To continue our fast-paced growth, we need to build a world-class engineering team. You’ll help us get there by owning end-to-end projects, talking with customers, and ultimately supporting the growth of Retool—the product and the business.
WHAT YOU'LL DO
The Core Services team owns key backend services powering broad areas of the Retool product, including code execution and the infrastructure behind resource connectors that allow customers to connect Retool to their data.
IN THIS ROLE, YOU WILL:
- Drive the architectural design and redesign of core Retool backend services, ensuring robustness, security, and efficiency. This includes areas such as secure sandboxing, connection pooling, and streaming.
- Use secure runtime and sandboxing technologies like WASM and seccomp filters
- Own production services running in Amazon Elastic Kubernetes Service (EKS)
THE SKILLSET YOU'LL BRING
- You have 6+ years of experience in professional software development, ideally some of which you’ve spent in startups
- You’ve built, maintained, debugged, and scaled backend systems and distributed services
- You have a keen understanding of security best practices and experience in designing secure systems
- You can demonstrate an ability to identify and resolve performance bottlenecks in critical services
- You have experience with cloud-based infrastructure like Azure, AWS, or GCP, along with Kubernetes, Helm, and Terraform
- You have excellent communication and collaboration skills and are able to work effectively across multiple teams
BONUS POINTS
- You’re familiar with TypeScript and Node
- You’ve right-sized compute clusters, managed autoscaling groups, etc.
- You understand OS-level containerization and execution environments
- You’ve built fault-tolerant message queues, worker pools, or distributed value stores
- You’ve analyzed and tackled interesting and unusual new workloads
For candidates based in the United States, the pay range(s) for this role is listed below and represents base salary range for non-commissionable roles or on-target earnings (OTE) for commissionable roles. This salary range may be inclusive of several career levels at Retool and will be narrowed during the interview process based on a number of factors such as (but not limited to), scope and responsibilities, the candidate’s experience and qualifications, and location.
Additional compensation in the form(s) of equity and/or commission are dependent on the position offered. Retool provides a comprehensive benefit plan, including medical, dental, vision, and 401(k). Pay and benefits are subject to change at any time, consistent with the terms of any applicable compensation or benefit plans.
The base pay range for this role is $163,800 – $306,000 per year.
Retool offers generous benefits to all employees and hybrid work location. For more information, please visit the benefits and perks section of our careers page!
Retool is currently set up to employ all roles in the US and specific roles in the UK. To find roles that can be employed in the UK, please refer to our careers page and review the indicated locations.
Retool San Francisco, California, USA Office
Retool's headquarters is in San Francisco's Mission District within walking distance to the 16th St. Bart station, great coffee shops, and SF institutions like Dandelion Chocolate and Tartine Manufacturing. We have dedicated parking, secure bike storage, and 24/7 onsite security.
Similar Jobs
HR Tech • Payments • Professional Services • Software
Provide legal support for complex international EOR employment lifecycle matters (terminations, leave, performance, disputes). Build playbooks, escalation paths, decision frameworks, training, and standards. Partner with regional counsel, Operations, Product, Sales, Payroll, and outside counsel to translate local law into practical guidance and manage high-risk cases from intake through resolution.
HR Tech • Payments • Professional Services • Software
Lead and scale Justworks' international Customer Success organization for its EOR solution, managing regional consultants and support specialists. Build SOPs, KPIs, and workflows; serve as customer advocate to Product, Legal, Sales, and Ops; drive automation and data-driven efficiency; oversee high-stakes compliance guidance; coach on escalations; create training and external knowledge-base content; and partner with GTM to position international service as a differentiator.
HR Tech • Payments • Professional Services • Software
Lead and scale Justworks' international Customer Success organization for the EOR product, managing regional consultants and support specialists. Build SOPs and workflows, define KPIs (CSAT, SLA, QA), influence Product/Legal/Sales, drive automation and data-driven improvements, coach teams on complex escalations, and develop training and external knowledge content to ensure accurate, compliant international guidance.
What you need to know about the San Francisco Tech Scene
San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.
Key Facts About San Francisco Tech
- Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Google, Apple, Salesforce, Meta
- Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
- Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
- Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

