Software Development Engineer

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About the role

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 The Agent Measurement & Forecasting (AMF) team builds Workday's single source of truth for how the company measures and forecasts AI agent performance. We own the data pipeline, metric governance, and semantic layer that turn raw agent telemetry into consistent, auditable metrics used across Agents. Our stack runs on dbt, Apache Iceberg, and MetricsFlow, backed by CI/CD schema enforcement, so every metric we publish carries the same rigor as production code. As Workday scales via a broader agentic transformation, the metrics AMF governs are what let the company trust, and act on, how its agents are performing. About the Role As a Software Engineer, you will work towards technical design and execution for core components of AMF's metrics platform. You'll build and operate the pipeline that lands agent telemetry into Iceberg via dbt, enforce schema contracts through CI/CD gates, and extend the MetricsFlow semantic layer that serves governed metrics to the Product Data Store and downstream consumers. This is a hands-on role: you'll work on multi-tenant data isolation, low-latency query performance for metric serving, and the migration path from today's per-tier governance model. You will drive engineering excellence within the team and act as a domain expert for pipeline design, schema governance, and semantic-layer serving. About You Basic Qualifications • 5+ years experience in software development engineering including designing, developing, and deploying software solutions • 3+ years experience in software development engineering, with production-level experience in: Python and SQL • Bachelor’s degree in a relevant field such as Computer Science, Engineering, or a related discipline, or equivalent practical experience Other Qualifications • Solid experience with dbt, Apache Iceberg, and semantic-layer tooling (e.g., MetricsFlow, dbt Semantic Layer, Cube) for governed metric definition and serving • Strong understanding of data governance and schema contract enforcement, including CI/CD schema gates and automated data quality checks • Experience with large-scale data processing frameworks such as Spark, Flink, or Kafka within complex distributed architectures • Practical experience with API development (gRPC, REST) for serving metrics and data products to downstream consumers • Understanding of multi-tenant data isolation and security principles, including data encryption and tenant-scoped authorization, relevant to governing tenanted (Tier 0) vs. non-tenanted (Tier 1) data • Strong grasp of distributed systems principles: data partitioning, eventual consis

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