Solutions Architect, CAST AI
USA
+ Equity
Kubernetes automation platform
Be an early applicant
Kubernetes automation platform
201-500 employees
Be an early applicant
+ Equity
201-500 employees
Company mission
To pioneer a brighter future of cloud computing.
Role
Who you are
- 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
What the job involves
- 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
- 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
Our take
Managing cloud deployments effectively to control costs has become a priority for organizations of all sizes. CAST AI drives cloud optimization and cost reduction by using AI and machine learning to analyze a company’s cloud environment to identify the resources required for maximum performance.
CAST AI’s platform supports all three major cloud service providers; Microsoft Azure, Google Cloud, and Amazon Web Services. When cloud providers have unused machines they are typically discounted by 60-70%, however, if AWS (for example) needs that machine back, they give little warning before reclaiming it. CAST AI is able to automatically detect this, and immediately replace it, meaning companies using its platform will never experience an outage of discounted machines.
As more enterprises embrace cloud technologies, CAST AI is a strong choice of provider as it provides customers with a unified, automated platform, making Infrastructure as a Service (IaaS) more efficient and budget-friendly. The company has seen considerable investment that will be spent on attracting new customers, as well as helping to expand the CAST AI range of products.
Steph
Company Specialist at Welcome to the Jungle
Insights
51% employee growth in 12 months
Company
Funding (last 2 of 5 rounds)
Apr 2025
$108m
SERIES C
Nov 2023
$35m
SERIES B
Total funding: $180.7m
Company HQ
Downtown Miami, Miami, FL
Leadership
Yuri Frayman
(Co-Founder & CEO)Co-founder & former CEO of ZENEDGE, Frayman Group, Viewdle, and LegalKEY Technologies. Founder & former Executive Chairman of CUJO AI. Current Director of Blumarine Group, and is a Board Member/Advisor at Koop Technologies, Secerus, and Perthera AI.
Leon Kuperman
(Co-Founder & CTO)Co-founder & former CTO of ZENEDGE, Co-founder of HostenPCI, and Founder & previous CTO of Truition. Previous CTO & Technology Advisor at CUJO AI, Vice President of Security Products OCI at Oracle, and was the President & CTO of Bidz.com. Current Board Member for OXYGEN.
Laurent Gil
(Co-Founder & President)Co-founder & former CPO of ZENEDGE. Previous CEO of Viewdle, CFO of WiPlug, and Director of IdeaCapital. Worked as a Group Architect at Oracle, and was an Advisor for both We Heart It and Cel-Fi.
Share this job
View 3 more jobs at CAST AI