Senior Software Engineer, ML Runtime & DevOps

Workday, Inc.; Reston (VA); On-site; USD 164,000 - 246,000; Full time

Job summary

Workday Government in Reston, VA seeks a Senior SDE to design and deliver scalable ML runtime features. You will collaborate with data scientists and ML engineers to bring ML capabilities to production.

This role requires 7+ years in DevOps and Python, Docker/Kubernetes, and cloud experience; on-site in the DMV area; TS/SCI clearance preferred. We offer a collaborative culture with rigorous standards and an on-call rotation.

Qualifications

• 7+ years of professional experience in DevOps engineering, infrastructure automation, and CI/CD pipeline development.
• 7+ years of experience with Python programming and container orchestration platforms (e.g., Docker, Kubernetes).
• Bachelor’s degree in Computer Science, STEM field, or equivalent practical experience.

Responsibilities

• Developing frameworks, automation, and tooling to foster a culture of efficiency and innovation.
• Apply technologies like Kubernetes, Docker, and Python to enhance developer scalability in creating innovative ML Runtime Inference applications.
• 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.
• Developing products and services that empower developers to streamline their interactions with the ML platform.
• Working with public clouds (such as IAAS, AWS, GCP) and applying capacity management principles.
• Deploying and orchestrating containers in production environments, including technologies like Containers, Kubernetes, Service Mesh, ArgoCD and related tools.
• Actively engage with Tech Leads and ML Engineers across teams to elaborate on requirements and drive technical solutions.
• Own and develop features from end to end including infrastructure as code.
• Research, evaluate, prototype and drive adoption of new ML tools with reliability and scale in mind.
• Strong dedication to proactively addressing and resolving issues, automating processes, and empowering engineers to self‑service their operational needs for improved productivity.
• Availability for on‑call support on a rotational basis.

Skills

DevOps engineering

Python programming

CI/CD pipelines

Education

Bachelor’s degree in Computer Science or STEM field

Tools

Docker

Kubernetes

Terraform

ArgoCD

Jenkins

Git

Grafana

Prometheus

Job description

Workday Government in Reston, VA seeks a Senior SDE to design and deliver scalable ML runtime features. You will collaborate with data scientists and ML engineers to bring ML capabilities to production.

This role requires 7+ years in DevOps and Python, Docker/Kubernetes, and cloud experience; on-site in the DMV area; TS/SCI clearance preferred. We offer a collaborative culture with rigorous standards and an on-call rotation.