Technical Support Engineer

Job not on LinkedIn

🕒 August 21

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

📞 Support Engineer

👻 Ghost score 25%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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ScaleOps - Cloud-Native Optimization

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2022

☁️ SaaS

🤖 Artificial Intelligence

💰 $15M Series A on 2023-12

Cloud • SaaS • Artificial Intelligence

ScaleOps is a cloud-native optimization platform that focuses on automating real-time resource management for Kubernetes environments. By utilizing intelligent scheduling and automated rightsizing, ScaleOps enables businesses to reduce their Kubernetes costs by up to 80%, while enhancing cluster reliability and performance. Designed with DevOps in mind, ScaleOps allows teams to optimize CPU and memory allocation effortlessly and focus on strategic initiatives rather than manual configurations.

📋 Description

• 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 24/7 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 • Collaborate closely with R&D, Customer Success, and Product to improve the platform based on recurring customer issues • Ensure customer problems are addressed within defined SLAs

🎯 Requirements

• 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 and concise communication • Detail-oriented and SLA-driven mindset • Prior experience supporting technical platforms in production environments