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Cast AI · 4 hours ago

Solutions Architect (USA)

United States

Full-time

Remote

Mid, Senior Level

Cast AI is the leading Application Performance Automation platform, enabling customers to cut cloud costs and improve performance. As a Solutions Architect, you will design and operate Kubernetes and cloud-native solutions for customers across the Americas, collaborating with Technical Account Managers and Client Partners.

Artificial Intelligence (AI)Cloud ComputingCloud InfrastructureCloud ManagementCloud SecurityDeveloper PlatformDeveloper ToolsDevOpsSaaSSoftware

Responsibilities

Collaborate closely with customers to understand their technical requirements and deliver tailored engineering solutions

Help customers design, deploy, and maintain Kubernetes environments for diverse use cases

Lead the optimisation journey: audit clusters, develop optimisation plans, and implement workload-specific tuning

Deliver custom solutions, including customer-specific code and niche fixes (e.g., startup scripts, uncommon pod mutations, unique workload configurations)

Provide technical enablement by integrating external tools and frameworks

Apply Kubernetes best practices, fixing client configurations, improving workload setups, defining topology constraints, affinities, and optimizing for cross-AZ cost efficiency

Develop scripts and tooling to showcase platform capabilities and solve real-world problems

Partner with customer teams to troubleshoot and resolve onboarding or operational challenges

Work with the development team to translate customer feedback into product improvements

Qualification

Kubernetes administrationPublic cloud platformScripting skillsInfrastructure as CodeCI/CD pipelinesCluster auditingKubernetes certificationsAnalytical abilitiesCustomer-facing experienceProgramming experienceREST APIsCommunication skills

Required

Deep expertise in Kubernetes administration and hands-on operations

Strong proficiency in at least one major public cloud platform (AWS, GCP, or Azure)

Scripting skills (Python, Bash, PowerShell, etc.) for automation and demos

Familiarity with Infrastructure as Code (Terraform, Crossplane, Pulumi), CI/CD pipelines (ArgoCD), and reporting/monitoring solutions (Grafana, Prometheus, DataDog)

Experience in cluster auditing, workload tuning, and optimisation planning

Ability to deliver technical enablement and integrate external tools (IaC, CI/CD, reporting)

Outstanding analytical, troubleshooting, and problem-solving abilities

Excellent verbal and written communication skills—you can explain technical concepts clearly

Ability to work independently or collaboratively in customer-facing, engineering-driven environments

Prior experience working directly with customers on engineering projects

Kubernetes Developer or Administrator certifications (CKA/CKAD)

Experience with Helm charts, Kubernetes custom deployments, or operators

Familiarity with observability tools (Prometheus, Grafana, Elastic Search, Loki, DataDog)

Programming experience (Golang, Java, C++)

Working knowledge of REST APIs