# Software Engineer **Company**: Workday **Location**: Reston, VA **Work arrangement**: hybrid **Experience**: senior **Job type**: full-time **Salary**: $137,000 USD - $205,400 USD **Category**: Engineering **Industry**: Technology **Apply**: https://workday.wd5.myworkdayjobs.com/en-US/Workday/job/USAVAReston/Software-Development-Engineer---ML-Ops--US-Federal-_JR-0105400?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply **Canonical**: https://yubhub.co/jobs/job_170e24ed-9b7 ## Description We’re Workday, a Fortune 500 company and a leading AI platform for managing people, money, and agents. We focus on making hard work pay off for our people, customers, and the world. The Workday ML Runtime team is seeking a Software Engineer to design, implement, and deliver highly scalable features for our Machine Learning Runtime platform. You will partner with Data Scientists, ML Engineers, and other Software Engineers to create the technology that brings these features to life. **Key Responsibilities:** - Develop 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. - Implement and operate distributed systems and software development, including conception, specification, design, programming, documentation, testing, and bug fixing. - Develop products and services that empower developers to streamline their interactions with the ML platform. - Work with public clouds (such as IAAS, AWS, GCP) and apply capacity management principles. - Deploy and orchestrate 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. - Proactively address and resolve issues, automate processes, and empower engineers to self-service their operational needs for improved productivity. - Availability for on-call support on a rotational basis. **About You:** 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. We need creative and dedicated Software Engineers who want to move the needle. You should enjoy working on projects that can significantly improve developer satisfaction and save the company millions of dollars. You are inquisitive, ready to question the status quo, and passionate about exploring and implementing innovative techniques and approaches to solve complex problems. **Basic Qualifications:** - US Citizenship is required. - 3 or more years of DevOps experience, including infrastructure automation and building CICD pipelines. - Good system design and writing comprehensive technical design documents. - 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 also efficiencies in engineering processes. **Other Qualifications:** - 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 tools 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. **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 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. Primary Location: USA.VA.Reston Primary Location Base Pay Range: $137,000 USD - $205,400 USD Additional US Location(s) Base Pay Range: $123,900 USD - $222,000 USD ## Skills ### Required - Python - Kubernetes - Docker - Terraform - Git - Jenkins - ArgoCD - Grafana ### Nice to have - Machine learning - Communication protocols - RESTful services - Service-oriented architecture - Distributed systems - Microservices --- Source: [Apply at workday.wd5.myworkdayjobs.com](https://workday.wd5.myworkdayjobs.com/en-US/Workday/job/USAVAReston/Software-Development-Engineer---ML-Ops--US-Federal-_JR-0105400?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)