Solutions Architect

Solutions Architect (USA)

Cast AI

Cast AI is the leading Application Performance Automation (APA) platform, enabling customers to cut cloud costs, improve performance, and boost productivity – automatically. Built originally for Kubernetes, Cast AI goes beyond cost and observability by delivering real‑time, autonomous optimization across any cloud environment. The platform continuously analyzes workloads, rightsizes resources, and rebalances clusters without manual intervention, ensuring applications run faster, more reliably, and more efficiently.

Headquartered in Miami, Florida, Cast AI has employees in more than 32 countries worldwide and supports some of the world’s most innovative teams using major cloud, hybrid, and on‑premises environments.

Join our Customer Success team as a Solution Architect and help design, demonstrate, and operate world‑class Kubernetes and cloud‑native solutions for customers across the Americas, working with a driven team of Technical Account Managers and Client Partners.

• 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, Power Shell, etc.) for automation and demos
• Familiarity with IaC (Terraform, Crossplane, Pulumi), CI/CD pipelines (ArgoCD), and reporting/monitoring solutions (Grafana, Prometheus, Data Dog)
• 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 – able to 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, Data Dog)
• Programming experience (Golang, Java, C++)
• Working knowledge of REST APIs

• 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 optimising 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

• Join a fast‑growing company at the forefront of cloud‑native automation and Kubernetes technology
• Enjoy a flexible, remote‑first global environment
• 401(k) retirement plan – 100% company match on employee contributions up to 6% of pay (available after 3 months of employment)
• Access United Healthcare plans including medical, dental, and vision coverage
• Equity options
• Learning budget for professional and personal growth
• Team‑building budget and company events to connect with colleagues
• Equipment budget to ensure you have everything you need

Mid‑Senior level

Full‑time

Engineering and Information Technology

Software Development