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Join the Customer Success team to design, demonstrate, and operate world-class Kubernetes and cloud-native solutions for customers across the Americas, working with Technical Account Managers and Client Partners.
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 optimization journey: audit clusters, develop optimization plans, and implement workload-specific tuning
- Deliver custom solutions, including customer-specific code and niche fixes
- 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
Requirements
- 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 optimization 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
- Ability to work independently or collaboratively in customer-facing, engineering-driven environments
- Prior experience working directly with customers on engineering projects
Nice to Have
- 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
Skills
Python
*
AWS
*
Azure
*
PowerShell
*
Java
*
Kubernetes
*
C++
*
REST APIs
*
Terraform
*
Golang
*
Grafana
*
Loki
*
GCP
*
Prometheus
*
Bash
*
Datadog
*
Crossplane
*
Pulumi
*
ArgoCD
*
Elastic Search
*
Helm
*
* Required skills
Benefits
Equity options
Team-building budget
UnitedHealthcare dental coverage
Company events
Equipment budget
UnitedHealthcare medical coverage
UnitedHealthcare vision coverage
Learning budget
401(k) retirement plan with 100% company match up to 6% of pay
Certifications
CKA
(Required)
CKAD
(Required)
About Cast AI
Cast AI is the leading Application Performance Automation (APA) platform, enabling customers to cut cloud costs, improve performance, and boost productivity – automatically.
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