Qualifications
Responsibilities
Benefits
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.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.
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.
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 ranges vary based on work location. As a part of the total compensation package, this role may be eligible for the Workday Bonus Plan or a role-specific commission/bonus, as well as annual refresh stock grants. Recruiters can share more detail during the hiring process. Each candidates compensation offer will be based on multiple factors including, but not limited to, geography, experience, skills, job duties, and business need, among other things. For more information regarding Workdays comprehensive benefits, please .
Primary Location: USA.VA.RestonAdditional US Location(s) Base Pay Range: $123,900 USD - $222,000 USD
Our Approach to Flexible Work
With Flex Work, were combining the best of both worlds: in-person time and remote. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. We know that flexibility can take shape in many ways, so rather than a number of required days in-office each week, we simply spend at least half (50%) of our time each quarter in the office or in the field with our customers, prospects, and partners (depending on role). This means youll have the freedom to create a flexible schedule that caters to your business, team, and personal needs, while being intentional to make the most of time spent together. Those in our remote 4home office4 roles also have the opportunity to come together in our offices for important moments that matter.
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