About Workato

Workato transforms technology complexity into business opportunity. As the leader in enterprise orchestration, Workato helps businesses globally streamline operations by connecting data, processes, applications, and experiences. Its AI-powered platform enables teams to navigate complex workflows in real-time, driving efficiency and agility.

Trusted by a community of 400,000 global customers, Workato empowers organizations of every size to unlock new value and lead in today's fast-changing world. Learn how Workato helps businesses of all sizes achieve more at 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

We are seeking a product-minded Software Engineer to join our San Francisco team focused on building the next generation of developer products. This role is at the forefront of innovation, specifically creating tools and platforms for developers who are building LLM and Agentic applications. You will be instrumental in shaping the future of how developers interact with and build on top of Workato's ecosystem in the age of AI. You will collaborate closely with product, engineering, and developer relations teams to deliver robust, scalable, and intuitive services. This role requires a high technical bar, plus an emphasis on developer ergonomics, so we can deliver a delightful developer experience. You will also be responsible to:

Design, build, and maintain robust, scalable, and high-quality developer-facing products and APIs for LLM and Agentic application development.
Collaborate closely with product managers, designers, developer relations and other engineers to translate developer needs and product requirements into elegant technical solutions.
Write clean, maintainable, and well-tested code, and contribute to a high standard of engineering excellence within the team.
Implement and improve validation, monitoring, and observability for ML services within the sandbox environment.
Drive the full development lifecycle: from ideation and architecture to deployment and continuous improvement.
Continuously evaluate and optimize existing implementations for performance, scalability, and developer usability.
Identify and resolve bottlenecks, bugs, and technical challenges in a fast-paced, iterative environment.
Conduct code reviews and mentor team members to uphold high engineering standards.
Stay at the cutting edge of AI, LLMs, and developer tooling, bringing new ideas and technologies to the team.

Requirements

Qualifications / Experience / Technical Skills

Bachelor's or Master's degree in Computer Science, Engineering, Information Systems, or equivalent industry experience.
3+ years of experience of professional software development experience, with a proven track record of shipping high-quality products.
You are a product-minded engineer who thinks deeply about the end-user. You have strong opinions about what makes a great developer experience.
You have experience building developer-facing products, APIs, SDKs, or CLIs.
You are proficient in one or more modern programming languages such as Go, Python, Ruby, or JavaScript and hands-on experience with LLM models.
Proven track record of deploying and maintaining ML services in production environments is a strong plus.
Solid understanding of API design, developer tooling, software architecture, data structures, and algorithms.
LLMops/MLops experience is a strong plus, especially in developer-facing products.
Experience building or supporting developer platforms, APIs, or sandbox environments is highly desirable.

Soft Skills / Personal Characteristics

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