About the role
ScaleOps is redefining autonomous cloud and AI infrastructure. We're on a mission to free DevOps and platform engineers from manual resource management so they can focus on innovation, not tuning resources. The results: maximized performance and a reduction of cloud costs by up to 80%. As the category leader in Autonomous Cloud and AI Infrastructure Resource Management, we're trusted by leading enterprises including Adobe, Wiz, Epic Games, Northwestern Mutual, Coinbase, DocuSign, and Fortune 100 companies to autonomously manage their most critical production environments. Backed by Insight Partners, Lightspeed Venture Partners, and other leading VCs with over $210M in funding, ScaleOps is the leading player in a massive and growing market. We are building the autonomous infrastructure management platform that will power the next decade of enterprise compute.What You'll Be Doing As a Technical Support Engineer at ScaleOps, you'll be the first line of defense for resolving complex technical issues that go beyond platform usage. You'll monitor, triage, and resolve customer-reported incidents, ensuring problems are addressed within defined SLAs, and collaborate closely with R&D, Customer Success, and Product to help improve the platform based on recurring customer issues.
Serve as the primary point of contact for customer-reported technical problems related to installation, Helm configuration, permissions, and integrations Monitor internal customer issue alerts around the clock and respond promptly Manage and own the ticketing system, ensuring timely updates and resolutions Troubleshoot Kubernetes-related issues such as ingress, SSO, and other integrations Escalate issues to the appropriate teams with clear documentation, logs, and context Reproduce, investigate, and document bugs for R&D Maintain and expand the support knowledge base Identify and communicate recurring issues to drive product improvements
What You'll Bring
Strong, hands-on Kubernetes troubleshooting experience (kubectl, Helm, networking) Familiarity with cloud-native environments, including EKS, GKE, AKS, IAM, and cloud networking concepts Proven ability to work under pressure while maintaining clear, concise communication Detail-oriented and SLA-driven mindset Prior experience supporting technical platforms in production environments
About ScaleOps
ScaleOps provides an autonomous cloud and AI infrastructure resource management platform designed to optimize Kubernetes environments for engineering and DevOps teams. Its platform continuously and automatically adjusts CPU, memory, GPU, and replica resources in real time based on live workload conditions, eliminating manual tuning. Self-hosted and production-grade, it supports cloud, on-premises, and air-gapped environments, and is used by enterprises such as Adobe, Wiz, and DocuSign.
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Job details
Location
Remote
Funding
Total raised
$210M
Last stage
Series C
Investors
What happens next.
No applications, no recruiter spam. Just the intro.
Confirm the fit
A few questions to make sure this role is the right shape for you. Two minutes.
I pitch you to the company
I write the intro, send it to the founder, and handle the back-and-forth.
A meeting lands on your calendar
If they’re a yes, I book the chat. You show up — that’s the whole job-hunt.