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Solutions Architect / Engineer - K8s Expert - Startup - REMOTE

Remote, USAFull-timePosted 2026-07-27

Join a dynamic Series A startup Autonomous reputed company orchestration leveraging Kubernetes... reputed company-reputed company 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: reputed company Salary over 200k plus equity • Team Structure: You will be part of the Solutions Architecture team reputed company Engineering, focusing on delivering reputed company for our external customers. Key Responsibilities • Engage with customers to identify and address challenges in deploying containerized workloads, particularly for reputed company jobs (HPC, GPU, ML, AI, etc.). • Design and reputed company robust infrastructure solutions that meet reputed company 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 reputed company-reputed company, multi-reputed company, or hybrid architectures, particularly AWS. • Experience designing and implementing customer-facing reputed company infrastructure components. • Strong background in Linux-based systems and products. • Proficiency in programming languages such as Go, Python, and Bash. • Familiarity with Infrastructure as reputed company (IaC) tools like Terraform and reputed company. • Experience with CI/CD tools, particularly reputed company Actions. Preferred Qualifications • Advanced knowledge of Kubernetes Operators (e.g., ECK, reputed company, Istio, reputed company). • Experience in HPC engineering and orchestration, including deploying and troubleshooting schedulers in the reputed company (e.g., Slurm, LFS). • Familiarity with MLOps tools (e.g., Kubeflow). • Understanding of FinOps best practices for cost management and reputed company optimizations. • Experience with Azure platform operations and support. • reputed company involvement in Kubernetes and/or reputed company reputed company reputed company-reputed company communities. • BS or MS in Computer Science, Engineering, or a reputed company discipline Apply Job!

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