Technical Support Engineer, CAST AI
Kubernetes automation platform
Job no longer available
Kubernetes automation platform
201-500 employees
Job no longer available
201-500 employees
Company mission
To pioneer a brighter future of cloud computing.
Role
Who you are
- Robust Kubernetes troubleshooting and administration background
- Thrive in a fast-paced environment, enjoy the challenge of solving complex technical problems, and have a passion for cloud technologies
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field. Foundational knowledge is crucial for understanding the complex technical aspects of our product
- Minimum 3 years of hands-on experience in Kubernetes administration and troubleshooting. This should include comprehensive knowledge of managing clusters, networking, and storage within Kubernetes environments
- An excellent understanding of Linux/Unix fundamentals
- Hands-on experience with at least one major public cloud provider (AWS, Azure, GCP). Understanding cloud infrastructure's nuances and integration points is crucial for supporting customers in these environments
- Strong problem-solving skills and technical understanding. It would help you navigate complex technical environments and develop solutions that align with client needs. It would help if you also had a passion for digging into problems and finding solutions
- Excellent communication abilities, effectively articulating technical concepts and solutions to technical and non-technical stakeholders. This includes written communication skills for documenting processes, solutions, and guides
What the job involves
- As a TSE at CAST AI, you will be an integral part of our mission to lead in Kubernetes automation and cost optimization, providing exceptional support and insights to our global customer base
- Primary Subject Matter Expert: Act as the go-to CAST AI expert, offering comprehensive technical support to customers. You must understand the ins and outs of our platform to provide authoritative and effective solutions
- Technical Collaboration and Troubleshooting: Collaborate directly with customers to troubleshoot and diagnose complex technical issues. You'll need to communicate effectively to understand their problems, identify solutions, and guide them through resolution processes
- Issue Ownership: Take ownership of customer issues and manage them from initiation to resolution. You will focus on driving these issues to a close, ensuring minimal downtime for customers while enhancing their systems' overall performance and reliability using CAST AI
- Knowledge Sharing: Contribute to the internal knowledge base by documenting best practices, troubleshooting methods, and technical solutions. Create and update technical guides to empower your team and customers with valuable resources for understanding and navigating CAST AI's offerings
- Mentorship and Team Support: Mentor and guide junior team members, helping them grow their skills. Your experience and knowledge will foster a learning environment and ensure the team's continued development and success
- On-Call Support: Participate in an on-call rotation, providing critical after-hours support. Your commitment to being available during these times ensures customer needs are met promptly, maintaining high satisfaction and trust
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.
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