About this role
About the Role
Join Workday Government as a Software Development Engineer specializing in ML Ops for US Federal contracts. You will design, implement, and deliver scalable ML runtime features and microservices in production, collaborating with data scientists, ML engineers, and other software engineers to power Workday's ML capabilities in secure environments.
This role requires U.S. citizenship due to federal contract security requirements and may require TS/SCI w/CI Poly clearance; active clearance is preferred. What You'll Do
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Developing frameworks, automation, and tooling to foster a culture of efficiency and innovation.
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Apply technologies like Kubernetes, Docker, and Python to enhance developer scalability in creating innovative ML Runtime Inference applications.
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Implementation and operation of distributed systems and software development including the conception, specifying, designing, programming, documenting, testing, and bug fixing involved in creating and maintaining applications, frameworks, or other software components.
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Developing products and services that empower developers to streamline their interactions with the ML platform.
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Working with public clouds (such as IAAS, AWS, GCP) and applying capacity management principles.
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Deploying and orchestrating containers in production environments, including technologies like Containers, Kubernetes, Service Mesh, ArgoCD and related tools.
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Actively engage with Tech Leads and ML Engineers across teams to elaborate on requirements and drive technical solutions.
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Own and develop features from end to end including infrastructure as code.
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Research, evaluate, prototype and drive adoption of new ML tools with reliability and scale in mind.
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Strong dedication to proactively addressing and resolving issues, automating processes, and empowering engineers to self-service their operational needs for improved productivity.
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Availability for on-call support on a rotational basis. What We're Looking For
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U.S. citizenship and ability to obtain/maintain TS/SCI w/CI Poly clearance; active clearance preferred.
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Creative and dedicated Software Engineers who are passionate about applying ML and runtime technologies to real-world, mission-driven problems.
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Experience with Kubernetes, Docker, and Python; familiarity with public clouds (AWS, GCP) and CI/CD.
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Strong collaboration, communication, and problem-solving skills; ability to work with cross-functional teams.
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Willingness to work onsite in Reston, VA and to participate in on-call rotations.