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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