Software Engineer, Distributed Systems

What You’ll Do at Figma:

• Design, build, and maintain scalable and reliable infrastructure systems that support product innovation and user collaboration at scale.
• Architect and evolve distributed systems including storage platforms, streaming infrastructure, and compute orchestration.
• Improve developer experience by building internal platforms, CI/CD systems, build tools, and APIs.
• Collaborate across product and infrastructure teams to design secure, maintainable, and performant systems.
• Participate in shaping platform strategy, roadmaps, and engineering best practices across the organization.
• Debug and resolve complex production issues that span services and layers of the stack.
• Mentor engineers and foster a culture of collaboration, inclusivity, and technical excellence.

We’d Love to Hear From You If You Have:

• 5+ years of Software Engineering experience, specifically in backend or infrastructure engineering.
• Deep understanding of distributed systems concepts such as sharding, replication, consistency, and eventual convergence.
• Experience with cloud-native environments (AWS, GCP, or Azure), infrastructure-as-code, and container orchestration.
• Proficiency in languages such as Go, TypeScript, Python, Rust, or Ruby.
• Strong system design skills and a track record of architecting resilient production systems.
• Excellent communication skills, with experience collaborating across teams and mentoring others.

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

• Experience scaling storage platforms (e.g., Postgres, Redis, S3, DynamoDB) or operating streaming systems like Kafka.
• Background in traffic management, DDoS mitigation, or service mesh technologies (e.g., Envoy, Istio).
• A history of developing complex, realtime distributed systems at scale.
• A passion for building developer productivity tools, including development environments, CI/CD pipelines, and build systems.
• Experience with evolving large-scale, shared developer platforms to improve reliability and developer velocity.
• Strong problem-solving skills and a bias for action—especially when tackling high-impact, gritty challenges.