Mid-Level Site Reliability Engineer
Job Summary
To support modern AI/ML platforms, the fully remote Mid-Level Site Reliability Engineer will architect, automate, and operate high-performance cloud infrastructure while serving as a Technical Subject Matter Expert to engage with stakeholders and translate mission challenges into actionable architectures.
Key responsibilities
- Architect, deploy, and maintain highly available Kubernetes clusters optimized for AI/ML workloads across cloud environments
- Consult directly with customer stakeholders to assess requirements and present technical solutions as the technical SME
- Drive infrastructure automation using Terraform and GitOps patterns while building and maintaining resilient CI/CD pipelines
Required qualifications
- 3 to 5 years of professional experience in Site Reliability Engineering, DevOps, or Platform Engineering roles
- Strong operational proficiency with Kubernetes and practical experience with major cloud platforms such as AWS, Azure, or Google Cloud
- Proficiency in Python, Bash, or Go for operational automation and custom tooling development
- Experience using Terraform or equivalent Infrastructure as Code (IaC) tooling and Git-based workflows
- Strong full-stack troubleshooting skills across compute, storage, networking, and application layers
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