Senior Software Engineer, Cloud Applications

About the role

ROLE SUMMARY

We're looking for a senior software engineer to join a high-impact team building the systems that power Temporal Cloud's customer experience at scale. Our team owns some of the most critical surface area in the product — 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.

In this role, you'll work on a new initiative, set technical direction and build systems that directly shape how customers provision, operate, and extract value from Temporal Cloud. You'll partner closely with engineers, product managers, and solutions architects to design resilient architectures, drive cross-functional execution, and raise the bar on reliability and scalability for our most critical features. If you thrive on ambiguous, high-leverage problems and take pride in building durable systems that grow with the business, we'd love to meet you.

WHAT YOU’LL DO

- Lead the Design of Business-Critical Systems: Own end-to-end technical design and delivery for the services that power namespace scalability, reliability, and the customer data products built on top of them.

- Bridge Instrumentation and Product Value: Partner with analytics and product engineers to ensure what gets collected actually powers meaningful customer insights; translate business questions into durable event schemas that outlast the feature that introduced them.

- Architect Data Pipelines for Scale and Correctness: Define and evolve our data pipeline architecture for high-throughput usage and operational data; make principled tradeoffs across data freshness, query cost, tenant isolation, and fault-tolerance.

- Drive Data Quality as a First-Class Concern: Establish schema contracts, pipeline-level anomaly detection, and alerting for silent failures — holding the line on data correctness before bad numbers reach customers.

- Raise the Engineering Bar: Set quality standards through code and design reviews; introduce patterns and tooling that improve maintainability, observability, and incident response across the team.

- Mentor and Multiply Impact: Grow the engineers around you, unblock execution, and foster a culture of ownership, learning, and pragmatic excellence.

- Improve Developer and Customer Experience: Identify opportunities to streamline customer flows via automation, better tooling, and targeted platform improvements that reduce friction and support load.

TECHNOLOGY STACK

- Primary Language: Go

- Data Storage: PostgreSQL, Redshift, S3, Google Cloud Storage, Azure Blob Storage

- Data Warehouse: Snowflake, Databricks, Clickhouse, Big Query