Note: The job is a remote job and is open to candidates in USA. Temporal Technologies is hiring a Staff Software Engineer to join the Replication Foundations team within its Cloud Global Services organization. The role sets technical direction for Temporal’s distributed replication systems, leading architecture, implementation, rollout, operations, scalability, reliability, and cross-team initiatives supporting Temporal OSS and Temporal Cloud.
Responsibilities
- Set the technical direction and evolve the architecture of Temporal’s OSS replication stack, from problem definition through rollout and operational support
- Lead the design and implementation of replication protocols that power:
- High Availability namespaces
- Cross-cluster and cross-region replication
- Migration between Temporal clusters, including cloud-to-self-hosted and cloud-to-cloud scenarios
- Drive scalability and reliability initiatives such as:
- Multi-cell namespaces
- Enabling a namespace to span multiple clusters
- Improving load distribution and handling hot spots
- Define and communicate system-level guarantees, including consistency models, ordering, idempotency, failure recovery, performance, and operational behavior
- Identify architectural risks and opportunities, and shape the technical roadmap for replication capabilities that support current and future cloud products
- Partner with Cloud Enablement, CGS, Product, and other engineering teams to align OSS replication foundations with customer and product needs
- Lead design reviews, raise the quality of implementation and testing practices, mentor engineers, and provide technical guidance across the organization
- Lead or contribute to debugging complex production issues, incident response, and follow-up improvements related to replication and core system behavior
Skills
- A track record of designing and delivering complex production distributed systems, including systems where correctness, availability, and performance are critical
- Deep understanding of distributed systems fundamentals such as replication, partitioning, consistency, fault tolerance, durability, concurrency, and failure recovery
- Experience defining system architecture, protocol behavior, invariants, and trade-offs in ambiguous or evolving problem spaces
- Experience debugging complex production issues, including concurrency bugs, data inconsistencies, partial failures, and performance bottlenecks
- Proficiency writing production-quality concurrent code in Go
- Strong written and verbal communication skills, including the ability to explain complex designs and trade-offs to both technical and cross-functional audiences
- Demonstrated ability to influence technical direction across teams, build alignment without direct authority, and mentor engineers
- A thoughtful and curious approach to understanding how systems behave under load, failure, and changing workload conditions
- Experience with Java, C++, or similar systems languages is also welcome
- Experience designing or maintaining replication protocols or data-plane infrastructure
- Experience with multi-cluster or multi-region architectures, including active-active or active-passive systems
- Familiarity with database internals, log-based replication, or event-sourced systems
- Prior contributions to large open source projects or distributed systems infrastructure
Benefits
- Offers Equity
- Remote work arrangement
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