Salary
💰 $115,500 - $184,800 per year
Tech Stack
CloudDistributed SystemsGoJavaKubernetesPython
About the role
- Deliver practical, scalable solutions to support the reliability and performance of a mission-critical, cloud-native global Kubernetes platform and services
- 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
- 3+ 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
- Preferred: 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