Software Development Engineer, Admin Central

Your work days are brighter here.

We’re obsessed with making hard work pay off, for our people, our customers, and the world around us. As a Fortune 500 company and a leading AI platform for managing people, money, and agents, we’re shaping the future of work so teams can reach their potential and focus on what matters most. The minute you join, you’ll feel it. Not just in the products we build, but in how we show up for each other. Our culture is rooted in integrity, empathy, and shared enthusiasm. We’re in this together, tackling big challenges with bold ideas and genuine care. We look for curious minds and courageous collaborators who bring sun-drenched optimism and drive. Whether you're building smarter solutions, supporting customers, or creating a space where everyone belongs, you’ll do meaningful work with Workmates who’ve got your back. In return, we’ll give you the trust to take risks, the tools to grow, the skills to develop and the support of a company invested in you for the long haul. So, if you want to inspire a brighter work day for everyone, including yourself, you’ve found a match in Workday, and we hope to be a match for you too.

About the Team

Within Admin Central, the Business Process Optimize (BPO) team powers the underlying platform infrastructure. You'll build mission-critical distributed systems, high-availability usage pipelines, new agentic functionality, and event-driven data flows across global product regions to ensure enterprise billing integrity at scale. If you're excited to build from scratch, move fast, and transform how thousands of admins work every day, come join us!

We are hiring engineers across both teams.

Note:
VISA Sponsorship is not available for this role.
Relocation support is not available for this role.

About the Role

As a Software Development Engineer, you will design, build, and maintain high-performance microservices and data pipelines that power Workday's next-generation Agentic Workflow and Analytics Platform. Admin Central sits at the core of Workday's enterprise AI and automation strategy. It serves over 700 customer accounts, including 100+ Tier-0 enterprise customers. It handles millions of daily requests, both ad hoc and ambient agentic, through high-throughput analytics and agentic workflows, using Model Context Protocol (MCP) and agent-ready tools.

In this hands-on role, you will:

• Work with big-data technologies (Kafka, Spark/Flink, ClickHouse, S3). You'll write clean, scalable services in Python, Java, Go, or Scala.
• Design multi-agent architectures that provide enterprise-grade agentic capabilities.
• Extend existing agentic workflows, integrating tools like LangSmith and LangChain, to provide deep visibility into agent execution, tool calls, and prompt/response chains. You'll also extend distributed telemetry and tracing to AI agent execution paths across global multi-tenant environments.
• Help build the governed deployment fabric, where configuration, data migration, and validation are largely handled by agents with key human-in-the-loop interactions.
• Collaborate closely with Product, Data Engineering, SRE, and Legal/Compliance to ship reliable, low-latency features that scale globally.

• Feature Development: Design, code, and deploy production-ready microservices and streaming pipelines for BPO's core analytics and agentic engines.
• API & Data Engineering: Build scalable REST and gRPC APIs to enable seamless integrations with MCP tools, LLM workflows, and observability frameworks.
• Performance & Data Pipelines: Optimize high-throughput data ingestion, indexing, and query execution on ClickHouse and distributed event streams.
• Quality & Automation: Write robust unit, integration, and distributed load tests, ensuring end-to-end reliability across CI/CD automation pipelines.
• Operational Monitoring: Monitor, triage, and resolve production issues to maintain high platform availability and low latency across global customer tenants.
• Technical Documentation: Author clean API specifications, component designs, and operational runbooks to support team scalability.