Senior Software Development Engineer
Workday
- Location
- Ireland, Dublin
- Work model
- On-Site
- Level
- Senior
- H-1B history
- 103 approvals (FY2023)
- Posted
- Sep 10, 2026
Skills
About this 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
Danu is part of Workday’s AI Centre of Excellence in Dublin, operating within the AI Platform organization to support a customer base of 60 million users. Danu’s charge is AI privacy — researching and translating sophisticated challenges in human-AI partnership, ML model performance, Explainable AI (XAI), and Responsible AI into production capabilities, with a specific focus on anonymization. Our de-identification engine, ogham — named for Ireland’s earliest alphabet — already detects PII at industry-leading recall and efficiency at enterprise scale. We are now extending our privacy engineering capabilities to build the next chapter: a dedicated anonymization capability that will allow Workday and its customers to set new industry-leading privacy standards. If you want to help set the benchmark for how a global AI platform protects sensitive data — responsibly and at scale — we’d like to meet you.
About the Role
As Senior Software Development Engineer on Danu, you will build and operate the services, pipelines, and interfaces that make Workday’s anonymization capability consumable by other teams across the AI ecosystem. You will work alongside our machine learning engineers and external research partners who specialize in differential privacy and formal privacy analysis. Where they set the technique, you will own making it production-grade — throughput, reliability, and the APIs and SDKs partner teams build against. You will also extend ogham itself, the de-identification engine this capability is founded on. Your First Six Months You will productionize the first anonymization use cases — standing up the pipelines and service interfaces behind differential privacy and group anonymization techniques (k-anonymity, l-diversity, t-closeness), and building the harness that makes privacy-utility measurement repeatable.
Key Responsibilities
API, SDK & Service Development: Build the REST/gRPC APIs, Python SDK, and CLI surfaces that let any team consume anonymized data and on-demand de-identification, and define the contracts partner teams build against. Pipelines & Runtime: Design, build, and operate the services and high-throughput data pipelines behind anonymization and de-identification — on Spark, EMR, and SageMaker — at enterprise volume. Applied Privacy Engineering: Implement and harden anonymization techniques — differential privacy, group anonymization, synthetic data generation — and build the tooling and harnesses that make privacy-parameter calibration and adversarial evaluation repeatable. ML Systems in Production: Own the engineering that keeps our models running at scale — GPU provisioning and utilisation, quantisation, batch throughput, serving, and compute cost — and support them in production, diagnosing