Senior Software Development Engineer

Workday Workday · Enterprise · Pleasanton, CA

This role focuses on building core platform capabilities for AI-powered agentic developer experiences and workflows within the Workday ecosystem. The engineer will work on integrating LLMs, enabling developers to use AI agents for coding, automation, and workflow orchestration, and contributing to the overall AI-native platform.

What you'd actually do

  1. Collaborate closely with principal engineers, product managers, and cross-functional teams to translate high level requirements into well-scoped, executable engineering work.
  2. Uphold API governance and engineering best practices within your team, including versioning, backward compatibility, and security standards for public-facing surfaces.
  3. Mentor junior and mid-level engineers through code review, design feedback, and pairing, and help raise the technical bar on the team.
  4. Participate in architectural discussions and contribute to build-vs-integrate decisions for platform components, with grounding in real-world tradeoffs of scale and maintainability.
  5. Write clear technical documentation for your features and contribute to internal engineering knowledge bases.

Skills

Required

  • 8+ years of software engineering experience
  • 8+ years of experience in JVM-based backend development (Java or Kotlin)
  • 8+ years of proficiency in TypeScript/JavaScript
  • 5+ years developing RESTful APIs
  • 5+ years with hands-on experience deploying and operating production services in a cloud-native environment
  • Bachelor's degree in Computer Science, Engineering, or equivalent practical experience
  • Familiarity with large language model integration strategies
  • understanding agentic architectures
  • Hands on experience with AI coding agents
  • implementing real-time streaming (SSE/WebSockets)
  • OpenAI-compatible endpoints
  • Proficiency in modern frontend technologies including React, HTML, and CSS
  • A strong commitment to testing methodologies
  • Background in application observability
  • Familiarity with managing CI/CD workflows

Nice to have

  • Familiarity with LangChain or comparable LLM orchestration frameworks
  • Hands-on experience with cloud development technologies and platforms (AWS, Kubernetes, Helm)

What the JD emphasized

  • demonstrated senior-level ownership of complex production systems
  • AI & Agentic Systems
  • agentic architectures
  • AI coding agents
  • multi-turn AI interaction patterns

Other signals

  • AI-native platform
  • agentic tool of their choice
  • prompting through plain language
  • building applications, agents, and orchestrating complex workflows
  • intelligent, context-aware AI agents
  • supercharge how developers code, navigate, automate, troubleshoot, and ship
  • next generation of agentic AI applications
  • AI powered agentic developer experiences and workflows
  • large language model integration strategies
  • agentic architectures
  • AI coding agents