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
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)
Skills Required
- 7+ years of experience building scalable distributed backend applications
- Strong understanding of large-scale web application components, including databases, load balancers, application servers, message brokers, caching, and monitoring
- Understanding of network protocols and stacks
- Understanding of database technologies, including relational and NoSQL databases
- Knowledge of data structures and algorithms
- Multilingual programming experience, particularly Ruby, Go, or Rust
- Excellent debugging, analytical, problem-solving, and social skills
- Bachelor’s or master’s degree in Computer Science, Engineering, or a related subject
- Ability to work remotely with globally distributed teams and time zones
- Background in network programming
- Background in application or data security
- Deep knowledge of physical database design
- Experience with Docker and other isolation technologies
- Experience with AWS, Azure, or Google Cloud
- Experience in DevOps, machine learning, database administration, or enterprise applications
- Experience building or deploying data processing pipelines
- Experience with third-party REST APIs at scale
Workato Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Workato and has not been reviewed or approved by Workato.
-
Healthcare Strength — Health insurance is highlighted as robust, with comprehensive medical, dental, vision, and mental health/EAP support. Employer materials and public benefit listings position healthcare as a standout element of the package.
-
Leave & Time Off Breadth — Time off is portrayed as generous, featuring unlimited or flexible PTO in some regions and monthly global days off in addition to holidays. These programs signal a recharge-friendly approach to work-life balance.
-
Parental & Family Support — Parental leave is consistently described as strong, with supportive maternity and paternity programs. Family support appears alongside core benefits such as health coverage and equity.
Workato Insights
What We Do
The leader in enterprise automation, Workato helps organizations work faster and smarter without compromising security and governance. Built for Business and IT users, Workato is trusted by over 7,000 of the world's top brands like Gitlab, Toast, Broadcom, Intuit, Autodesk, and HubSpot. Leaders use Workato to automate key processes like Order to Cash, Speed to Lead, HR Onboarding and Offboarding and more.
Why Work With Us
Here at Workato, we are a team moved by innovation — a passion to create the best possible way and the drive to continue to make it better. We also believe in the power of our team, knowing that we only succeed if we all succeed together. Our team uses seven operating principles to help us make better decisions, work as a team, and have fun.
Gallery
