Senior Software Development Engineer (US Federal)

Workday • McLean, VA

2d • Hybrid

About The Position

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). We are seeking an exceptional Sr Software Development Engineer to join our Federal Engineering team. In this role, you will manage and optimize our Performance Lab in both private and public cloud environments, supporting and enhancing the deployment of entire Workday technology stack. As part of our team, you will oversee and manage deployment of Workday technology stack on cloud environments, develop proprietary tools, and deliver analytics to enable optimized deployments company-wide. This role is ideal for engineers with a holistic approach to cloud deployment, performance, and scalability who thrive on driving innovation and system-wide improvements.

Requirements

• A minimum of 6 years in deploying large-scale, complex applications, with a minimum of 3 years in cloud-based deployments on AWS or GCP.
• A minimum of 2 years experience with automation tools and languages, including Ansible, Python, Go, Chef, and Puppet; proficient in CI/CD, build management and monitoring.
• A minimum of 2 years experience with networks, servers, storage, and operating systems in cloud environments; skilled in deployment orchestration and automation frameworks.
• Hands-on experience with infrastructure automation tools like Chef, Puppet, and Ansible.
• 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.

Nice To Haves

• Extensive experience in developing orchestration and automation frameworks using Ansible and Jenkins, with a focus on public cloud deployments
• Proven ability to introduce, integrate, and implement new technologies rapidly.
• Skilled in network analysis and troubleshooting, using tools like tcpdump to resolve network, firewall, and connectivity issues in collaboration with engineering teams.
• Proficient in Unix/Linux environments, with strong Python scripting expertise for automation and system management.
• Familiar with Agile/Scrum practices, including sprint planning and daily stand-ups using Jira; excellent communication skills and a collaborative approach in team environments.
• Extensive experience creating and operating automation frameworks for deployment orchestration in production environments.
• Over 5 years of experience building and maintaining pipelined automation for large-scale deployments across multiple build versions.
• Solid understanding of networks, protocols, servers, storage systems, and operating systems in cloud environments.
• Proficient in at least one core programming language (e.g., Ruby, Python, or Go) for deployment automation.
• Deep understanding of CI/CD processes, build management, monitoring, alerting, and centralized logging for cloud and on-prem environments.
• Bachelor’s degree in Computer Science or equivalent experience in software engineering and automation.

Responsibilities

• Manage and optimize the large-scale Performance Lab in Private and Public Cloud (AWS & GCP).
• Develop and maintain deployment tools and analytics to support company-wide deployment flexibility and cost savings in public cloud
• Collaborate across teams to ensure robust, scalable, and efficient solutions.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level