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# Software Development Engineer

- **Company:** Workday, Inc.
- **Location:** United States (Remote available)
- **Experience:** Experienced
- **Salary:** $148,000.0 - $222,000.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Artificial Intelligence, Amazon Web Services, Amazon S3, Data Analysis, Application Frameworks, Cloud Computing, Cloud Storage, Communications Protocols, Databases, Continuous Integration, Information Engineering, Data Migration, Distributed Systems, Github, Python (Programming Language), PostgreSQL, Online Transaction Processing, Software Engineering, Systems Integration, Openapi, Data Processing, Test-Driven Development (TDD), Large Language Models, Apache Spark, Agentic-AI, Git, LangSmith, Integration Tests, Kubernetes, Information Technology, Low Latency, Apache Kafka, Data Management, Vertica, Restful APIs, Grpc, Data Pipelines, Workday, Docker, Jenkins, Golang, Microservices
- **Published:** October 30, 2026
- **Apply:** https://startup.jobs/software-development-engineer-admin-central-workday-10618265

## About the Role

* 5+ years of professional software engineering experience building and maintaining production applications.
 * 2+ years of hands-on experience in at least two of the following programming languages: Python, Java, Go, or Scala.

Other Qualifications

 * Practical experience working with distributed systems, microservice architectures, or event-driven pipelines (e.g., Kafka, Spark, or relational/columnar databases like ClickHouse or PostgreSQL).
 * Experience with RESTful APIs, gRPC, or microservice communication protocols.
 * Analytics: Familiarity with high-throughput data processing engines (Apache Kafka, Spark) and cloud storage architectures (AWS S3/Iceberg).
 * AI & Agentic Frameworks: Exposure to LLM application frameworks (LangChain, LangSmith) or OpenTelemetry (OTLP) tracing models.
 * Cloud & Containers: Hands-on experience with Docker, Kubernetes, AWS infrastructure, and CI/CD automation tools (Git, GitHub Actions, Jenkins).
 * Testing Rigor: Strong commitment to test-driven development, integration testing, and telemetry-based monitoring.
 * Collaboration & Mindset: Strong problem-solving skills, clear communication, and an eager, adaptable approach to solving complex engineering challenges.

 * Education: Bachelor's degree in Computer Science, Software Engineering, or a related technical field, or equivalent practical experience.

Workday Pay Transparency Statement

## Description

As a Software Development Engineer on the Admin Central team, 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, serving over 700 customer accounts to handle ad hoc and ambient agentic requests through high-throughput analytics and agentic workflows.

In this hands-on role, you will design multi agent architectures to 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 across global multi-tenant environments, building out the governed deployment fabric where configuration, data migration, and validation are largely handled by agents, with key human in the loop interactions.

Key Responsibilities

 * 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.
 * 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.