Mid/Sr Software Development Engineer (US Federal)

Job description

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 Your work matters here. At Workday Government, we focus on outcomes that serve a larger mission. Our work supports U.S. federal agencies as they modernize and transform the full employee lifecycle experience and finance operations—so they can operate with greater clarity, accountability, and trust. As a Fortune 500 company and a proven enterprise cloud platform, Workday brings modern technology, responsible AI, and secure infrastructure to some of the most complex environments in the world. The work isn’t theoretical. It’s operational. It’s high-impact. And it demands rigor, integrity, and long-term thinking. From day one, you’ll be part of a team that values collaboration, follow-through, and doing the right thing—especially when the stakes are high. Our culture is grounded in integrity, respect, and shared responsibility. We challenge each other to think clearly, act thoughtfully, and build solutions that stand up to real-world demands. Here, curiosity is matched with accountability. Ambition is paired with trust. You’ll have the space to do your best work, the support to keep growing, and the backing of a company committed to long-term investment in both its people and the federal mission. If you’re looking to apply your experience to meaningful, mission-driven work—alongside colleagues who take pride in building things that last—you’ll find that opportunity at Workday About the Role The Messaging, Streaming and Caching team is a full-service Distributed Systems Engineering team. We architect and provide async messaging, streaming, and NoSQL platforms and solutions that power the Workday products and SKUs ranging from core HCM, FIN, Integrations, and AI/ML. We develop client libraries and SDK's that make it easy for teams to build Workday products. We develop automation to deploy and run hundreds of clusters, and we also operate and tune our clusters as well. As a team member you will play a key role in improving our services and encouraging their adoption within Workday's infrastructure both in our private cloud and public cloud. As a member of this team, you will design and build new capabilities from inception to deployment to exploit the full power of the core middleware infrastructure and services, and work hand in hand with our application and service teams! About You 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). This role may require a security clearance at the TS/SCI w/CI Poly level. Applicants must have the ability to obtain and maintain a U.S. government issued security clearance. An active TS/SCI w/CI Poly is preferred. May be required to be on site at client locations in the DC, MD, and VA (DMV) area. Software Development Engineer Basic Qualification 3 or more years of DevOps experience including Infrastructure automation, building CICD pipelines. Good in System design and writing comprehensive technical design docs Proficient in Python programming. Design, implement, and maintain robust DevOps pipelines for deploying, monitoring, and scaling machine learning runtime environment. Experience using technologies like Kubernetes/Docker to help developers scale their efforts in creating new and innovative products. Collaborate with other Machine Learning teams to improve not just the product, but efficiencies in engineering processes. Other Qualifications: specialty certification (e.g., CompTIA CySA+, GICSP, CASP+) Machine learning background. Experience with communication protocols, RESTful services, service-oriented architecture, distributed systems, and microservices. Building comprehensive monitoring services. Prior experience with enterprise SaaS products. Experience with monitoring tools like Grafana. Passion for creating and maintaining documentation and fixing run books. Availability for on-call support on a rotating basis. Proficiency in infrastructure automation tools like Terraform, implementing CI/CD pipelines using Git and Jenkins, and applying continuous deployment tool such as ArgoCD BS/MS in Computer Science or a related technical field. Excellent problem-solving skills with a focus on creating and maintaining accurate documentation. Experience in leading or mentoring other team members and proven team collaboration experience, i.e. understanding group dynamics, effective communication strategies, conflict resolution techniques, and the ability to foster a positive and inclusive team. Preferred DoD 8570/8140 compliant with at least IAT Level II certification, including a current Computing Environment (CE) credential and one approved Sr. Software Development Engineer Basic Qualification 5 or more years of DevOps experience including Infrastructure automation, building CICD pipelines. Good in System design and writing comprehensive technical design docs Proficient in Python programming. Design, implement, and maintain robust DevOps pipelines for deploying, monitoring, and scaling machine learning runtime environment. Experience using technologies like Kubernetes/Docker to help developers scale their efforts in creating new and innovative products. Collaborate with other Machine Learning teams to improve not just the product, but efficiencies in engineering processes. Other Qualifications: Experience with communication protocols, RESTful services, service-oriented architecture, distributed systems, and microservices. Building comprehensive monitoring services. Prior experience with enterprise SaaS products. Experience with monitoring tools like Grafana. Passion for creating and maintaining documentation and fixing run books. Availability for on-call support on a rotating basis. Proficiency in infrastructure automation tools like Terraform, implementing CI/CD pipelines using Git and Jenkins, and applying continuous deployment tool such as ArgoCD BS/MS in Computer Science or a related technical field. Excellent problem-solving skills with a focus on creating and maintaining accurate documentation. Experience in leading or mentoring other team members and proven team collaboration experience, i.e. understanding group dynamics, effective communication strategies, conflict resolution techniques, and the ability to foster a positive and inclusive team. Specialty certification (e.g., CompTIA CySA+, GICSP, CASP+) Preferred DoD 8570/8140 compliant with at least IAT Level II certification, including a current Computing Environment (CE) credential and one approved Workday Pay Transparency Statement The annualized base salary ranges for the primary location and any additional locations are listed below. Workday pay