2 days ago
Responsibilities
- Build and enhance scalable backend services that process work reliably in distributed environments.
- Develop developer-facing APIs, integrations, real-time services, gateways, and CLIs.
- Integrate LLMs and agentic workflows into production applications under the guidance of senior engineers.
- Contribute across implementation, testing, deployment, monitoring, and continuous improvement.
- Write clean, maintainable, well-tested code and participate in code reviews.
- Troubleshoot production issues, improve reliability, and optimize platform performance.
- Collaborate with product managers, designers, AI researchers, and engineers to deliver developer products.
Requirements
- At least 3 years of professional software engineering experience building and shipping production applications.
- Strong proficiency in Python or another modern programming language and experience writing clean, maintainable, well-tested code.
- Solid backend 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 preferred.
- Experience deploying or supporting cloud applications, with AWS preferred, and exposure to Kubernetes, containers, or modern infrastructure tooling is desirable.
- Experience with observability tools, logging, metrics, or production debugging is preferred.
- 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.
- Strong ownership, problem-solving, collaboration, product judgment, adaptability, communication skills, and interest in reliable scalable software are required.
Benefits
- Flexible, trust-oriented culture with ownership and a dynamic work environment.
- Benefits supporting employees’ work and personal lives.
- Remote-friendly work environment; Workato was recognized by Quartz as a leading company for remote workers.
Tech Stack
Categories
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. We connect to every app, system, and process your business runs on, with no data migration, no rip-and-replace, 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 14,000+ enterprise systems into one governed execution layer. AI has solved reasoning. The next frontier is execution, with Workato.