Senior Software Engineer (GOlang, Engine)

About Workato Workato is the leading Control and Execution Platform for Enterprise AI — the neutral platform enterprises trust to put AI to work across their business. Workato unifies data, applications, and processes into a single platform so AI can reliably orchestrate business processes in production at enterprise scale. Built on more than a decade of running mission-critical processes for over half the Fortune 500 — including Nasdaq, Amazon, Cisco, Vodafone, Atlassian, and Lucid Motors — Workato turns over 14,000 enterprise systems AI needs to act on into one governed execution layer. For more information, visit workato.com. Why join us? Ultimately, Workato believes in fostering a flexible, trust-oriented culture that empowers everyone to take full ownership of their roles. We are driven by innovation and looking for team players who want to actively build our company. But, we also believe in balancing productivity with self-care. That’s why we offer all of our employees a vibrant and dynamic work environment along with a multitude of benefits they can enjoy inside and outside of their work lives. If this sounds right up your alley, please submit an application. We look forward to getting to know you! Also, feel free to check out why: • Business Insider named us an “enterprise startup to bet your career on” • Forbes’ Cloud 100 recognized us as one of the top 100 private cloud companies in the world • Deloitte Tech Fast 500 ranked us as the 17th fastest growing tech company in the Bay Area, and 96th in North America • Quartz ranked us the #1 best company for remote workers Responsibilities The Engine team develops and maintains core components of the Workato Recipe runtime. Scope includes recipe execution, DSL, event pulling, webhook processing, and job execution. The team owns trigger and event infrastructure that defines how integrations start and react to external events. Current focus: modernization of a high-throughput platform to improve reliability, scalability, and long-term evolvability. Work is platform-oriented and directly impacts runtime performance and system correctness. In this role, you will also be responsible to: • Design and implement distributed backend systems in Go with deep consideration of performance and memory behavior. • Work on runtime-level components operating under high concurrency and throughput. • Apply in-depth knowledge of Go internals (scheduler, memory model, garbage collection behavior) to improve system efficiency. • Design and optimize concurrent workflows using goroutines, channels, synchronization primitives, and context propagation. • Analyze and optimize slice usage, memory allocations, and data structures for performance-critical paths. • Improve execution engine for custom third-party code (isolation, performance, feature extensions). • Modernize runtime components with focus on modularity, structured architecture, and observability. • Improve trigger configuration and execution across webhooks and polling mechanisms. • Integrate and optimize data storage solutions (Postgres, S3, DynamoDB, Kafka, ClickHouse). • Identify bottlenecks, race conditions, deadlocks, and performance degradation in distributed systems. • Own initiatives end-to-end, from design to rollout and production support. • Conduct code reviews with emphasis on correctness, concurrency safety, and performance characteristics. Requirements Qualifications / Experience / Technical Skills • Strong experience in building scalable distributed backend applications (7+ years). • Great understanding of all building blocks of large web applications: databases, load balancers, application servers, message brokers, caching, monitoring, etc. • Good understanding of network protocols and stacks. • Good understanding of DB technologies: classic databases and modern no-SQL. • Knowledge of basic data structures and algorithms and how they are used is a must. • Multilingual prog