Product Engineer

Job not on LinkedIn

🔥 37 minutes ago

🇮🇱 Israel – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🧑‍💻 Full-stack Engineer

👻 Ghost score 12%

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.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Komodor

WebsiteLinkedInAll Job Openings

51 - 200 employees

💼 Consulting

📦 Logistics

📣 Marketing

Consulting • Logistics • Marketing

Komodor is a comprehensive Kubernetes management platform that helps engineers and developers streamline operations, stop firefighting, and improve the health of their workloads and infrastructure. With features like Kubernetes Health & Reliability Management, Kubernetes Operations & User Management, and Kubernetes Cost Optimization, Komodor offers AI-powered root-cause analysis and curated troubleshooting playbooks. It enhances productivity, reduces mean time to recovery (MTTR), and facilitates Kubernetes migration, making it easier for organizations to manage Kubernetes environments at scale.

📋 Description

• Own the end-to-end rollout and customer migration from the older Kubernetes management system to the new agent-centric platform • Guide customers through building, managing, monitoring, and operating custom-built agents on production-grade infrastructure • Take accountability for migration completion, platform adoption, and customer success in deploying and operating production-grade internal agents • Understand customer organizations, technical environments, workflows, and challenges, and advise on building and running custom agents • Lead hands-on technical onboarding and implementations from initial adoption to sustainable production-grade usage • Map customer organizations, identify new internal-agent use cases, and expand platform usage across teams and business units • Represent customer feedback internally and translate technical feedback, deployment bottlenecks, and feature requests into product updates • Partner with Product, Engineering, Sales, and Customer Success to maintain alignment and execute a unified rollout strategy • Troubleshoot complex customer architectures and drive hands-on execution

🎯 Requirements

• Strong technical background in areas such as DevOps, SRE, infrastructure, cloud-native platforms, Kubernetes, or platform engineering • Proven track record in leading complex technical migrations, rollout initiatives, or platform transitions for customer environments • Experience working directly with customers in a Solutions Architect, Solutions Engineer, Technical Account Manager, DevOps, or similar technical customer-facing role • Deep understanding of Kubernetes, containerization, modern cloud-native architectures, and production-grade service infrastructure • Familiarity or strong interest in AI/internal agent creation, execution environments, and operational monitoring framework • Strong problem-solving and analytical skills, with a creative and practical approach to solving migration and adoption challenges • Excellent communication and interpersonal skills, with the ability to build trust and work effectively with both internal teams and external customer stakeholders • Strong project management skills and the ability to take ownership, coordinate multiple internal cross-functional stakeholders (Product, Engineering, Sales, and CS), and drive complex deployments through to completion • High emotional intelligence and the ability to navigate complex customer environments and organizational change management • A hands-on mindset - someone who enjoys getting into technical details, troubleshooting complex architectures, and driving execution