See how candidates think and approach the work this role demands, before the phone screen. We'll build a video challenge from this posting, and you can edit or share it before it goes live.
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.
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:
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.
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 programming experience: our code base is primarily in Ruby, with trend to migrate to GOlang and Rust.
Excellent debugging, analytical, problem solving, and social skills.
BS/MS degree in Computer Science, Engineering or a related subject, 7+ years of industry experience.
Readiness to work remotely with teams distributed across the world and timezones.
Background in network programming.
Background in application, data security.
Deep knowledge of physical DB design.
Experience of working with Docker and other isolation technologies.
Experience of working with public cloud infrastructure providers(AWS/Azure/Google Cloud).
Experience in related fields (DevOps, ML, DBA, Enterprise applications, etc).
Experience in building/deploying data processing pipelines is a plus.
Experience of working with third-party REST APIs at scale (request throttling, batch processing etc).
(REQ ID: 2997)
Answer a McCoy challenge. Companies hiring in engineering see your response and reach out when they want to talk.
About 15 minutes to prepare and 5 minutes to record. Unlimited retakes and a teleprompter help you answer. No AI training, and you can delete your response anytime.
This isn't an application to Workato.
workato:8929803002workatoThis posting hasn't been probed by our closure verifier yet. Stream C runs on a rolling schedule against postings approaching the close-decision threshold.
See how we measure for definitions, or our corrections log for known issues. Found something wrong? Flag a correction.