Senior Go Engineer (AI Lab)

Workato

Singapore, SGonsitePosted Jul 16, 2026
Posting intelligenceActively listedReposted 29×, possible evergreen/ghost posting

Skills

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About the role

Application instructions:

Interested applicants, please apply for this job at this link: https://grnh.se/mcw543c12us

We are looking for a Software Engineer (Go) to join our Platform team . Our platform is a large-scale system combining a Ruby on Rails monolith with a growing ecosystem of Go microservices. In this role, you will build and maintain business logic and enterprise-grade features for the Workato platform, including on-premise features, authentication, caching, work queuing, and APIs.

You will also be expected to:

Design, build, and maintain Go microservices with a focus on correctness and reliability.

Implement business logic and enterprise-quality standards across the platform.

Collaborate with Infra and SRE teams to ensure high availability and scalability requirements are met.

Contribute across all phases of the development lifecycle.

Write well-designed, testable, and efficient code.

Evaluate and propose improvements to existing systems.

Required

5+ years of industry experience in software engineering.

Solid experience with Go on the backend (2+ years).

Good debugging, analytical, and problem-solving skills.

Understanding of core building blocks of web applications: databases, load balancers, application servers, message brokers, caching, monitoring, etc..

Experience working with distributed systems.

Familiarity with version control (Git) and CI/CD practices.

Nice to Have

Experience with Ruby on Rails.

Experience building B2B systems.

Experience in related fields (DevOps, ML, DBA, Enterprise applications, etc.).

Experience with third-party REST APIs at scale (request throttling, batch processing, etc.).

Contributions to open-source projects.

Soft Skills / Personal Characteristics

Readiness to work with teams distributed across multiple timezones.

Curiosity and openness toward new technologies; willingness to experiment.

Ownership mindset - comfortable taking features from design through to production and maintenance.

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