Solutions Architect / Engineer - K8s Expert - Startup - REMOTE

Join a dynamic Series A startup

Autonomous cloud orchestration leveraging Kubernetes...

Cloud-native solutions optimize compute for both CPU and GPU.
• Remote-first environment
• Smart, fun, and low-ego team
• Currently 30 employees, poised for unicorn status
• Compensation: Base Salary over 200k plus equity
• Team Structure: You will be part of the Solutions Architecture team within Engineering, focusing on delivering innovative solutions for our external customers.

Key Responsibilities
• Engage with customers to identify and address challenges in deploying containerized workloads, particularly for complex jobs (HPC, GPU, ML, AI, etc.).
• Design and deploy robust infrastructure solutions that meet client needs.
• Collaborate with development teams to enhance processes and efficiency.
• Create and maintain documentation and repeatable processes.

Critical Qualifications
• 7+ years of experience in Solutions Architecture, Engineering, or Software Engineering.
• Hands-on experience with Kubernetes (design, deployment, management) across platforms like EKS, AKE, and GKE.
• Proficiency in cloud-native, multi-cloud, or hybrid architectures, particularly AWS.
• Experience designing and implementing customer-facing cloud infrastructure components.
• Strong background in Linux-based systems and products.
• Proficiency in programming languages such as Go, Python, and Bash.
• Familiarity with Infrastructure as Code (IaC) tools like Terraform and Helm.
• Experience with CI/CD tools, particularly GitHub Actions.

Preferred Qualifications
• Advanced knowledge of Kubernetes Operators (e.g., ECK, Prometheus, Istio, Aerospike).
• Experience in HPC engineering and orchestration, including deploying and troubleshooting schedulers in the cloud (e.g., Slurm, LFS).
• Familiarity with MLOps tools (e.g., Kubeflow).
• Understanding of FinOps best practices for cost management and cloud optimizations.
• Experience with Azure platform operations and support.
• Active involvement in Kubernetes and/or Cloud Native open-source communities.
• BS or MS in Computer Science, Engineering, or a related discipline

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