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We build and maintain the core open-source Cadence Workflow, a distributed, fault-tolerant platform that orchestrates complex business logic at scale. You'll work on the heart of this system, solving deep distributed systems challenges related to persistence, concurrency, and reliability. Your contributions will directly empower developers worldwide to build stateful, long-running applications that can withstand failure without data loss.
Job Responsibility:
Design, implement, and test new features and core components of the Cadence workflow engine in Go
Diagnose and resolve complex bugs and performance bottlenecks in a distributed, multi-tenant environment
Optimize and scale the engine's core components, including its -persistence layer, sharding, and task dispatching logic
Collaborate with the open-source community by reviewing pull requests, participating in design discussions, and improving documentation
Participate in an on-call rotation to support the reliability and operation of the services built on the engine
Requirements:
Strong systems programming experience in Go (Golang), or deep expertise in languages like Java/C++/Rust with a proven ability to learn Go quickly
A solid understanding of and practical experience with distributed systems concepts, including concurrency, fault tolerance, and consensus
Experience building, testing, and operating large-scale, high-availability services and working with persistent storage systems (e.g., Cassandra, MySQL, PostgreSQL)
Nice to have:
Significant contributions to open-source distributed systems or database projects (e.g., Cadence, Temporal, gRPC, Kafka, Vitess)
Deep expertise in performance analysis, benchmarking, and optimization of low-latency, high-throughput systems
Advanced knowledge of database internals, storage engines, or complex query optimization
Experience with formal verification, advanced consistency models, or consensus algorithms (like Paxos or Raft)