Staff Backend Software Engineer

Join Stream as a Staff Backend Software Engineer and take ownership of backend systems that support thousands of developers. This individual contributor role involves hands-on coding and database management, with a focus on scalability and impact. You'll work with a variety of technologies, including Go, gRPC, PostgreSQL, and Kubernetes. Enjoy a range of benefits, including stock options, health coverage, and a monthly fitness stipend.

• Conception, development, and maintenance of backend systems that support high-scale applications.
• Writing code and directly interacting with databases to implement features and improvements.
• Taking ownership of a meaningful area within the backend systems, including shipping to production in your first weeks.

• We’re also hiring Senior Engineers on these teams. If your experience fits Senior better than Staff, we’ll say so openly and talk it through with you
• You’ve built backend systems at high scale and stayed long enough to live with your own decisions, good and bad. You care about how a system is structured, not only the next feature, and you can explain your trade-offs to the people who’ll live with them. Maybe you led a team for a few years and chose to go back to hands-on work
• Extensive backend engineering experience, including technical leadership on systems in production
• Proficiency in Go, Python, or in another backend language plus the willingness to switch to Go
• Experience building features used by a large number of users, and scaling them as usage grows
• Experience building public APIs or SDKs that other developers use
• Hands-on experience with Redis or a similar in-memory data store
• Strong experience with a relational database. We use PostgreSQL, but any relational database counts
• Good written and spoken English. It’s our working language
• Comfort with infrastructure and database work as part of your normal week, including Kubernetes
• Don’t worry if you haven’t used every tool we run. You’ll get exposure to most of them, and you’re welcome to convince us to add your favorites
• PostgreSQL in production at scale, including sharding, partitioning or large migrations
• Experience improving or redesigning legacy parts of a system that’s serving live traffic
• Go and gRPC in production at high request rates
• Messaging, feeds or other real-time systems, or message queues such as RabbitMQ or Kafka
• Distributed storage internals, such as Raft or RocksDB
• You’ve cut infrastructure cost at a company where margins mattered
• Experience running workloads on GCP or AWS