Analytics Sr Software Engineer

Workday•McLean, VA

2d•Hybrid

About The Position

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 Delivery Engineering team for Workday Analytics is a team of engineers for engineers. We get the opportunity to support a lot of different groups ranging from backend engineers, platform engineers, infrastructure engineers, test engineers and many more. We spend our time writing software and manage how we deliver, deploy, monitor and everything in-between. We are responsible for the infrastructure around how we build Prism, how we support and test and, ultimately, how we deploy. We are a small but growing team with a diverse set of skills. This is an exciting area of growth at Workday. Our team is keenly focused on several of Workday’s core values, including innovation, integrity, and employees. About the Role You will be a key contributor on the Analytics Delivery Engineering team. As an SRE, you will help in building a clean, scalable, reliable, and automated services framework. What You Will Do: Work on projects ranging from building out robust CI/CD to automation for both the Prism engineering team and SRE team Work on enhancements and improvements for monitoring, alerting, and tracing of not only internal services but most importantly, production services. Collaborate with others on the SRE team to help set technical direction while ensuring requirements are met. Help enhance, build, secure and maintain environments for Prism Analytics in Workday Federal deployments Interact and be the primary contact with multiple teams both internally in Workday Prism Analytics Participate in and facilitate production on-call duties and events to ensure reliability of the analytics applications and play a pivotal role in building the foundation that delivers Workday Analytics to GovCloud. This role will support one or more direct or indirect contracts with the U.S. Federal Government which, due to federal government security requirements, mandates that all Workday personnel working on the contracts be United States citizens (naturalized or native).

Requirements

5+ years of hands-on experience working with infrastructure, either on-premises or cloud-based, with a deep understanding of systems architecture, networking, and security.
Strong understanding of Kubernetes concepts, architecture, and administration.
Bachelor's degree in a computer related field or equivalent work experience
Infrastructure as code: Proficiency in infrastructure automation tools like Terraform.
CI/CD: Experience with building or maintaining CI/CD pipelines and tools like Argo CD.
Cloud experience: 3+ years experience working with AWS cloud services in a production setting.
Programming skills: Proficiency in at least one programming language, preferably GoLang or Python.
Problem-solving: Strong analytical and problem-solving skills.
Communication: Excellent communication and collaboration skills.

Nice To Haves

Experience with monitoring and observability tools (Prometheus, Grafana).
Experience with security auditing and compliance frameworks.
Experience with Apache Spark, Docker, Kubernetes

Responsibilities

Design and implement: Design, develop, and implement solutions for our Kubernetes platform, including infrastructure automation, CI/CD pipelines, and observability tools.
Build and maintain: Build and maintain core platform components, ensuring high availability, scalability, and security.
Automate and optimize: Automate infrastructure provisioning, configuration management, and application deployments using tools like Terraform and Argo CD.
Troubleshooting and support: Provide support and troubleshooting for platform-related issues, working closely with development teams to resolve problems.
Security and compliance: Implement and maintain security best practices for the platform, ensuring compliance with industry standards.
Documentation and knowledge sharing: Create and maintain comprehensive documentation for platform components and processes. Actively participate in knowledge sharing within the team.
Collaboration: Collaborate effectively with other engineers, development teams, and stakeholders across multiple locations and time zones.
Stay current: Stay up to date with the latest technologies and trends in the platform engineering space.

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