Software Engineer II, Cloud Applications

About the role

ROLE SUMMARY

We’re looking for a Software Engineer II to join the Cloud Applications team. This team builds and operates critical parts of the Temporal Cloud customer experience, including Namespaces https://docs.temporal.io/cloud/namespaces, Audit Logs https://docs.temporal.io/cloud/audit-logs, and Export https://docs.temporal.io/cloud/export.

Namespaces are the core unit of isolation within Temporal Cloud, providing security boundaries, workflow management, unique identifiers, and dedicated gRPC endpoints. Audit Logs and Export give customers reliable access to the operational and compliance data they depend on.

We're looking for an engineer who is excited to learn these systems and contribute to their scalability, reliability, and developer experience. This is a hands-on role where you'll collaborate with experienced engineers, product managers and partner teams to design, build, and operate backend services and data pipelines while growing your distributed-systems expertise.

WHAT YOU'LL DO

- Design, implement, test, and ship well-scoped features and improvements for Temporal Cloud with support from teammates.

- Build and improve services that support namespace provisioning, configuration, scalability, and reliability.

- Develop data pipelines that process high-volume usage and operational data across multiple tenants.

- Make thoughtful engineering tradeoffs with guidance, balancing data freshness, query cost, tenant isolation, reliability, and operational complexity.

- Improve service operability through tests, instrumentation, dashboards, alerts, runbooks, and documentation.

- Participate in code reviews, design discussions, incident response, and production debugging.

- Collaborate across engineering, product, and customer-facing teams to understand requirements and deliver scoped projects safely.

- Improve developer and customer experience through automation, better tooling, and incremental product improvements.

WHAT YOU'LL BRING

- Experience building and operating production backend systems in a cloud environment.

- Proficiency in Go or another applicable backend or systems language, with the ability to ramp up in an existing codebase.

- Strong computer science fundamentals, including data structures, concurrency basics, testing, and debugging.

- Working knowledge of distributed-systems concepts such as reliability, fault tolerance, consistency, scaling, and failure handling.

- Experience with databases, data pipelines, messaging systems, or object storage.

- The ability to take a scoped problem, break it into smaller tasks, implement a solution end to end, and incorporate feedback.

- An operational mindset, including familiarity with logging, metrics, tracing, deployment, and production troubleshooting.

- Comfort collaborating across teams and communicating progress, risks, and technical tradeoffs clearly.