Job description

About Workato 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 Responsibilities We're looking for a talented Software Engineer to help build the distributed backend that powers our AI agent platform and the developer-facing products around it. You'll work on the event-driven services, real-time integrations, and APIs that enable agents to reliably perform real work while contributing to systems designed to scale rapidly. In this role, you will: Build and enhance scalable backend services that process work reliably in distributed environments. Develop developer-facing APIs, integrations, and tooling, including real-time services, gateways, and CLIs. Integrate LLMs and agentic workflows into production applications under the guidance of senior engineers. Contribute across the full software development lifecycle—from implementation and testing to deployment, monitoring, and continuous improvement. Write clean, maintainable, and well-tested code while participating in thoughtful code reviews and collaborative engineering practices. Troubleshoot production issues, improve system reliability, and optimize performance as our platform grows. Collaborate closely with product managers, designers, AI researchers, and fellow engineers to deliver high-quality developer products. Requirements Qualifications / Experience / Technical Skills 3+ years of professional software engineering experience building and shipping production applications. Strong proficiency in Python or another modern programming language, with experience writing clean, maintainable, and well-tested code. Solid understanding of backend software engineering fundamentals, including APIs, data structures, algorithms, and distributed systems concepts. Experience building backend services or APIs, preferably in cloud environments. Familiarity with event-driven architectures, messaging systems, streaming, or asynchronous processing is a plus. Experience deploying or supporting applications in cloud environments (AWS preferred) and exposure to Kubernetes, containers, or modern infrastructure tooling is desirable. Experience with observability tools, logging, metrics, or debugging production systems is a plus. Experience building or supporting developer-facing products such as APIs, SDKs, CLIs, or developer platforms is highly desirable. Hands-on experience with LLMs, AI applications, RAG, MCP, or agentic systems is a strong plus. Our Stack: Python, FastAPI, PostgreSQL, Kubernetes, AWS. You don't need experience with every technology—we're looking for engineers who learn quickly and enjoy working across new technologies. Soft Skills / Personal Characteristics Demonstrates ownership by taking features from implementation through delivery while collaborating effectively with teammates. Strong problem-solving skills with an interest in building reliable, scalable software. Product-minded and curious about how technical decisions impact developer experience and end users. Comfortable working in a fast-paced environment with evolving priorities. AI-native—uses modern AI development tools (such as Claude Code or similar) to improve productivity and engineering workflows. Excellent written and verbal communication skills, with the ability to collaborate effectively across engineering and product teams.

Requirements

Must-haves

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
Build and enhance scalable backend services that process work reliably in distributed environments.
Develop developer-facing APIs, integrations, and tooling, including real-time services, gateways, and CLIs.
Integrate LLMs and agentic workflows into production applications under the guidance of senior engineers.
Contribute across the full software development lifecycle—from implementation and testing to deployment, monitoring, and continuous improvement.
Write clean, maintainable, and well-tested code while participating in thoughtful code reviews and collaborative engineering practices.
Troubleshoot production issues, improve system reliability, and optimize performance as our platform grows.
Collaborate closely with product managers, designers, AI researchers, and fellow engineers to deliver high-quality developer products.
Qualifications / Experience / Technical Skills
3+ years of professional software engineering experience building and shipping production applications.
Strong proficiency in Python or another modern programming language, with experience writing clean, maintainable, and well-tested code.
Solid understanding of backend software engineering fundamentals, including APIs, data structures, algorithms, and distributed systems concepts.
Experience building backend services or APIs, preferably in cloud environments.
Experience building or supporting developer-facing products such as APIs, SDKs, CLIs, or developer platforms is highly desirable.
Hands-on experience with LLMs, AI applications, RAG, MCP, or agentic systems is a strong plus.
Our Stack: Python, FastAPI, PostgreSQL, Kubernetes, AWS. You don't need experience with every technology—we're looking for engineers who learn quickly and enjoy working across new technologies.
Soft Skills / Personal Characteristics
Demonstrates ownership by taking features from implementation through delivery while collaborating effectively with teammates.

Nice-to-haves

Familiarity with event-driven architectures, messaging systems, streaming, or asynchronous processing is a plus.
Experience deploying or supporting applications in cloud environments (AWS preferred) and exposure to Kubernetes, containers, or modern infrastructure tooling is desirable.
Experience with observability tools, logging, metrics, or debugging production systems is a plus.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aipythonawskubernetes

Platform: greenhouse
Effort: quick