• Take end-to-end ownership of new features, working with others in the SDK and Server teams to deliver exceptional reliability and a great developer experience. • Design and build Temporal SDKs used by customers to work with Temporal in their programming language of choice. • Tightly integrate Temporal SDKs with their respective languages, making best use of type systems and language runtimes, to execute application code in a durable, deterministic way. • Develop features that provide a foundation for the reliable execution of the current wave of agentic AI systems. Be a part of the fundamentals, instead of a part of the trend! • Work directly with our community to debug issues that need expert attention, and get feedback on Temporal SDK features and APIs. • Write publicly-readable technical documentation describing Temporal concepts and APIs. • Go the extra mile to support a customer in need, on the rare occasion that SDK engineering expertise is needed. • Travel to meet your coworkers for a week once or twice a year. • Attend the occasional developer conference to talk about how great Temporal is (optional).

• Design, develop, and maintain fullstack features using C# .NET and React; • Work closely with the Product Manager and Product Designer to turn needs into real solutions; • Work with SQL databases (primarily PostgreSQL), including data modeling and query optimization; • Contribute to architectural decisions and development best practices; • Ensure code quality through reviews, testing, and continuous improvement; • Actively participate in both product and technical discussions within the team.

• Design, implement, and optimize Kafka-based data streaming architectures for cybersecurity data collection and processing. • Develop and maintain Kafka clusters to ensure high availability, fault tolerance, and scalability. • Configure and tune Kafka for optimal performance, including partitioning, replication, and consumer group strategies. • Collaborate with integration engineers to design and implement efficient data pipelines from data sources through Kafka into downstream platforms. • Participate in Agile ceremonies including backlog grooming, demos, and retrospectives. • Provide expertise on Kafka security features including encryption, authentication, and authorization. • Conduct capacity planning and performance testing for Kafka deployments. • Troubleshoot complex issues in Kafka systems. • Develop and maintain documentation for Kafka configurations, best practices, and troubleshooting procedures.

• Design, develop, and maintain fullstack features using C# .NET and React; • Work closely with the Product Manager and Product Designer to turn needs into real solutions; • Work with SQL databases (primarily PostgreSQL), including data modeling and query optimization; • Contribute to architectural decisions and development best practices; • Ensure code quality through reviews, testing, and continuous improvement; • Actively participate in both product and technical discussions within the team.