Description
We’re Workday, a Fortune 500 company and a leading AI platform for managing people, money, and agents. We focus on outcomes that serve a larger mission, particularly in the U.S. federal sector.
You will join a highly motivated, collaborative engineering team that thrives on teamwork, open communication, and shared problem-solving. The team works with modern technologies like Kubernetes, Terraform, and Docker to build resilient, reliable systems for customers.
Job Overview: As a Software Development Engineer, you will play a pivotal role in guiding Workday’s efforts to build, deploy, and scale solutions for our Kubernetes platform in AWS GovCloud. You will lead infrastructure automation, enhance CI/CD pipelines, build robust observability tools, and drive air-gapped deployment methodologies.
Responsibilities:
- Run, manage, and scale complex containerized workloads on Kubernetes clusters deployed in AWS GovCloud environments.
- Provision and automate infrastructure, configurations, and deployment pipelines using Terraform, Terragrunt, Docker, AWS, and Argo CD.
- Design, implement, and maintain air-gapped deployment methodologies to support strict security, compliance, and isolation requirements.
- Build, maintain, and optimize comprehensive monitoring, logging, and alerting systems to ensure high availability and visibility into our managed services.
- Apply deep expertise in troubleshooting distributed systems to quickly diagnose and resolve complex platform, infrastructure, and network issues.
- Work closely with peer development teams, security leaders, and cross-functional partners across multiple locations to deliver reliable, high-impact outcomes.
- Implement and maintain enterprise security standards for the platform, ensuring full compliance with federal industry standards.
- Author clear technical documentation, participate in architectural reviews, and actively mentor team members to foster a culture of continuous learning.
Requirements:
- 5+ years of hands-on experience building, scaling, and maintaining production cloud infrastructure, DevOps pipelines, or platform engineering systems (for Senior/P4).
- 3+ years of hands-on experience building, scaling, and maintaining production cloud infrastructure, DevOps pipelines, or platform engineering systems (for Mid-Level/P3).
- Proven proficiency with infrastructure automation tools such as Terraform or Terragrunt.
- Hands-on experience managing continuous delivery pipelines using tools like Argo CD, Jenkins, or GitLab CI.
- Proficiency in modern scripting or programming languages, with a preference for Go or Python.
- Demonstrated ability to independently lead technical initiatives, troubleshoot distributed systems, and mentor junior engineers.
Preferred Qualifications:
- Deep production experience managing containerized workloads in AWS (ideally AWS GovCloud) using Kubernetes and Docker.
- Practical experience implementing or managing air-gapped deployment methodologies and isolated cloud architectures.
- Background in building robust monitoring, logging, and alerting systems for distributed platforms.
- Familiarity with federal security frameworks.
- DoD 8570/8140 compliance at IAT Level II or higher.
Pay Information: The annualized base salary ranges for this role are: Primary Location: $163,800 USD - $245,800 USD Additional US Location(s): $148,200 USD - $264,000 USD