About the position
At Workday, we are seeking an exceptional Software Development Engineer to join our Performance, Resiliency & Scalability Engineering team. This role will support one or more direct or indirect contracts with the U.S. Federal Government, which mandates that all Workday personnel working on the contracts be United States citizens. In this role, you will manage and optimize our Performance Lab in both private and public cloud environments, supporting and enhancing the deployment of the entire Workday technology stack. You will oversee and manage the 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.
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.
Requirements
- This position requires to be a U.S. Citizen.
- 6+ years in deploying large-scale, complex applications, with 3+ years in cloud-based deployments on AWS or GCP.
- 2+ years experience with automation tools and languages, including Ansible, Python, Go, Chef, and Puppet; proficient in CI/CD, build management and monitoring.
- 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.
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.
Benefits
- Annualized base salary range: $161,300 USD - $241,900 USD for primary location.
- Additional US location base pay range: $145,900 USD - $259,200 USD.
- Eligible for the Workday Bonus Plan or a role-specific commission/bonus, as well as annual refresh stock grants.
- Flexible work schedule allowing for a mix of in-person and remote work.
