Software Engineer - Application Platform

What you’ll do at Figma:

• Design and evolve shared Ruby frameworks for REST APIs, asynchronous jobs, workflow orchestration, and data access
• Improve the availability, reliability, scalability, and performance of backend systems that support critical product functionality
• Modernize a large Ruby codebase through safe architectural changes, including moving REST APIs from Sinatra toward Rails and introducing stronger endpoint abstractions and type safety
• Make backend development faster by improving hot reloading, local workflows, test infrastructure, CI reliability, debugging tools, and iteration speed
• Strengthen the scalability, isolation, observability, and recovery capabilities of Figma’s asynchronous job platform
• Partner with product engineers—your customers—and Infrastructure teams to identify recurring pain points and turn them into reusable platform capabilities
• Establish pragmatic engineering practices through shared libraries, APIs, documentation, tooling, code review, and technical guidance
• Mentor other engineers and contribute to a culture of thoughtful execution, high technical standards, and shared ownership

We'd love to hear from you if you have:

• Bring 5+ years of professional software engineering experience, including 3+ years building production systems with Ruby
• Build, maintain, and evolve large Ruby applications and shared backend codebases that support multiple engineering teams
• Design reliable distributed systems at production scale, including APIs, background processing, testing, observability, and operations
• Improve complex, established systems through architecture, modularization, migrations, performance, reliability, or developer tooling
• Create scalable abstractions, navigate technical tradeoffs, and collaborate with and mentor engineers across teams

While not required, it’s an added plus if you also have:

• Experience with background-job or workflow systems, including retries, idempotency, scheduling, backpressure, isolation, and failure recovery
• Experience with AWS services such as SQS and EKS, workflow systems such as Temporal, or infrastructure tools such as Kubernetes and Terraform
• Experience improving test performance, local development environments, CI systems, or large-scale code migrations