Workato delivers enterprise infrastructure for the agentic era, redefining iPaaS and helping enterprises unify data, applications, processes, and AI into a single, governed platform. A leader in Enterprise MCP and trusted by 50% of the Fortune 500, Workato’s cloud-native architecture connects every application, data source, and process to power real-time orchestration at scale. With enterprise-grade security and continuous innovation at its core, Workato provides the trusted foundation for organizations to automate with confidence and operationalize AI across the business. To learn more, visit www.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:
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
We are looking for a Senior Backend Engineer (GoLang) with deep Go expertise to join the Gateways team. This is a hands-on individual contributor role with expectations to own subsystems end-to-end and drive technical direction in your area of ownership.
The Gateways team owns Workato's API management, gateway, and routing infrastructure — the layer that sits between external consumers and the platform's core services. Our scope includes the classic API Management (APIM) product, an AI Gateway for LLM traffic management, and an MCP Gateway for Model Context Protocol integration. We operate at high scale, low latency, and with strict availability requirements.
- Design, build, and operate high-performance gateway and routing components in Go
- Own technical direction for your area: author design documents, lead architectural reviews, evaluate trade-offs, and drive decisions to conclusion
- Build and evolve infrastructure for authentication, caching, rate limiting, request queuing, and traffic shaping
- Collaborate with SRE, Infrastructure, and Platform teams to meet availability, scalability, and observability requirements
- Stay current with relevant technologies, protocols, and industry patterns; present findings and proposals for architectural review
- Deliver features end-to-end: from design through production rollout and ongoing maintenance
- 10+ years of professional software engineering experience
- 5+ years of hands-on backend development in Go, with strong command of concurrency patterns, performance profiling, and idiomatic design
- Deep understanding of Go internals: scheduler, garbage collector, memory model, and runtime behavior under load
- Strong systems programming foundation: understanding of how things work below the application layer
- Deep network knowledge: TCP connection lifecycle, TLS/mTLS handshake and termination, HTTP/1.1, HTTP/2, HTTP/3 (QUIC), WebSocket, SSE
- Applied cryptography: symmetric/asymmetric encryption, certificate chains of trust, key management, signing and verification
- Proven track record of designing and scaling distributed, highly available systems
- Solid understanding of large-scale web infrastructure: load balancers, reverse proxies, application servers, databases, message brokers, caching layers, and observability stacks
- Experience authoring system/architecture design documents and leading technical reviews
- Ability to identify bottlenecks at both the code level and the system level, and propose pragmatic solutions
- Working knowledge of Kubernetes concepts and deployment patterns
- BS/MS in Computer Science, Engineering, or equivalent demonstrated experience
- Reading-level familiarity with Ruby (on Rails) — the Workato platform core is Ruby-based and owned by other teams, but integration points require the ability to navigate and understand existing code
- Familiarity with AI/LLM serving infrastructure: model proxying, token metering, streaming protocols
- Experience with Docker, container orchestration, and cloud infrastructure (AWS, Azure, or GCP)
- Experience with Redis-based caching and pub/sub patterns
- Exposure to API gateway or service mesh internals (e.g., Envoy, Kong, custom proxies)
- Integration with third-party REST/gRPC APIs at scale (throttling, retries, circuit breaking, batch processing)
- Contributions to open-source projects
- Comfortable working in a globally distributed team across multiple timezones (the team spans Singapore, Europe, and the US)
- Strong written and spoken English — sufficient for design discussions, code reviews, and cross-team collaboration
- Full-cycle product delivery mindset: from problem framing through production and maintenance
- Open to experimentation; pragmatic about adopting new technologies
