Salary
💰 $101,250 - $162,000 per year
Tech Stack
CloudDistributed SystemsGoJavaKubernetesPython
About the role
- Build infrastructure and tools that power reliable, scalable, and secure engineering operations across the company
- Design and build Kubernetes platforms and tools that empower engineering teams to provision services quickly, securely, and consistently
- Develop clear, maintainable, and performant code to support Kubernetes infrastructure and platform automation
- Tackle complex challenges in cloud-native distributed systems with strong problem-solving and debugging skills
- Drive continuous improvement of platform services
- Accelerate AI adoption across the organization
- Create clear and comprehensive documentation to promote platform self-service and onboarding
Requirements
- This position involves handling of classified federal data; under federal regulations, it is open to US Citizens only
- Bachelor’s degree in Computer Science, Engineering, or a related technical field
- 1+ years of hands-on experience (including internships or equivalent exposure)
- Experience with Kubernetes environments (e.g., AKS, EKS, or similar) in production
- Proficiency in a managed programming language such as Python, Go, C#, or Java
- Exposure to operating and maintaining high-availability, high-volume Kubernetes deployments with zero-downtime requirements (preferred)
- Proven track record of reducing toil and developing automation (preferred)
- Familiarity with configuration management and GitOps tools (e.g., ArgoCD, GitHub actions) (preferred)
- Demonstrated ability to debug and resolve issues in complex, distributed systems (preferred)
- Interest or experience in leveraging AI tools and services for development and platform optimization (preferred)
- Some roles may also require legal eligibility to work in a firearms environment