Solutions Architect

About This Role

Join the Customer Success team as a Solution Architect to design, demonstrate, and operate world-class Kubernetes and cloud-native solutions for customers across the Americas, focusing on optimizing application performance.

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) for automation and demos
• Familiarity with Infrastructure as Code (Terraform, Crossplane, Pulumi)
• Experience with CI/CD pipelines (ArgoCD)
• Familiarity with 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
• Ability to work independently or collaboratively in customer-facing, engineering-driven environments
• Prior experience working directly with customers on engineering projects
• Experience with Helm charts, Kubernetes custom deployments, or operators
• Familiarity with observability tools (Prometheus, Grafana, Elastic Search, Loki, DataDog)
• Working knowledge of REST APIs

Skills

* Required skills

Benefits

Certifications