Senior Software Engineer, Open Source Server

About the role

ROLE SUMMARY

Temporal is looking for a Senior Software Engineer to join the Open Source Server team.

This team builds and maintains the core Temporal server. Its scope is broad, including Matching, Applications, Foundations, task processing, quotas and throttling, visibility, developer-facing primitives such as standalone activities, schedules, and streaming, and workflow experience improvements such as Continue-As-New, pause, and reset.

We do not expect one person to cover all of these areas. We're looking for an engineer who is excited to learn the system, contribute across the codebase, and help improve the reliability, performance, operability, and developer experience of Temporal.

This is a hands-on engineering role where you'll collaborate with experienced engineers to design, build, and operate the core of Temporal's distributed systems platform.

WHAT YOU'LL DO

- Design, implement, and ship features for the Temporal server.

- Solve distributed systems challenges across areas such as task matching, scheduling, workflow execution, visibility, quotas, throttling, persistence, developer primitives, and workflow lifecycle features.

- Make thoughtful engineering tradeoffs across developer experience, performance, and operability requirements.

- Partner with engineers, product managers, cloud teams, and customer-facing teams to build scalable technical solutions.

- Improve the reliability and operability of the server through testing, observability, dashboards, alerts, runbooks, and documentation.

- Participate in design discussions and code reviews to help maintain a high-quality codebase.

- Contribute to improving the developer experience for both open source users and enterprise customers.

- Mentor junior engineers and share knowledge with teammates.

WHAT YOU'LL BRING

- 5+ years of experience building and operating production distributed systems.

- Strong fundamentals in distributed systems, concurrency, fault tolerance, scheduling, and performance.

- Solid computer science fundamentals in distributed systems concepts including multi-threading and concurrency.

- Experience writing concurrent code in production with languages like Go or Java or other applicable languages with skill level as "high end of Intermediate" and/or "Advanced" or "Expert" levels.

- Experience building high-scale or performance-sensitive backend services, such as request-serving systems, task queues, scheduling systems, streaming or replication pipelines, rate limiting, sharding, load balancing, workflow engines, or orchestration systems.

- Strong debugging, troubleshooting, and operational skills with a focus on reliability and observability.

- Experience designing and building backend APIs or platform services.

- Ability to work collaboratively across engineering teams and contribute to technical discussions.