Software Engineer II - Cadence

Uber
Aarhus, DenmarkPosted 31 March 2026

Job Description

Software Engineer II - Cadence Department: Engineering Team: Backend Location: Aarhus, Denmark Type: Full-Time **About the Role** 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. **What the Candidate Will Need / Bonus Points** \-\-\-\- What the Candidate Will Do ---- \- 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. \-\-\-\- Basic Qualifications ---- \- 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). \-\-\-\- Preferred Qualifications ---- \- 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 engin
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