ScaleOps

Kubernetes optimization platform for cost reduction

Infrastructure Engineer

Cloud EngineeringConfirmed live in the last 24 hours

Full-timeTel Aviv-Yafo, IsraelNo salary listedIn-person

About the Job

Requirements

At least 5 years of hands-on experience in infrastructure, platform engineering, or site reliability engineering roles in high-scale distributed systems.
Hands-on experience with at least two major cloud providers: Amazon Web Services, Google Cloud Platform, or Microsoft Azure.
A solid understanding of networking, security groups, identity and access management, single sign-on/OpenID Connect, and cloud-native security principles.
Full professional fluency in Hebrew and English.

Responsibilities

Own the company's infrastructure end-to-end, including its self-hosted product, installation and onboarding flows, software-as-a-service platform, and AI infrastructure.
Manage the company's cloud infrastructure across Amazon Web Services, Google Cloud Platform, and Microsoft Azure, including networking, security, single sign-on, and compute.
Work closely with customers on deployments and troubleshooting.
Collaborate with backend, product, and research and development teams to support rapid feature delivery without compromising reliability.
Identify and eliminate operational toil through automation and tooling improvements.
Maintain security and compliance best practices across the infrastructure stack.

Desired Qualifications

Deep expertise with Kubernetes, Helm, and Go, including understanding their internals and ability to build on them, not just deploy them.
Experience with cloud cost optimization, resource management, or working at a company that sells infrastructure tooling.

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

Own ScaleOps' infrastructure end-to-end — our self-hosted product, its installation and onboarding flows, our SaaS platform, and AI infrastructure
Manage ScaleOps' cloud infrastructure across AWS, GCP, and Azure — networking, security, SSO, and compute
Work closely with customers on deployments and troubleshooting
Collaborate closely with backend, product, and R&D teams to support rapid feature delivery without compromising reliability
Identify and eliminate operational toil through automation and tooling improvements
Maintain security and compliance best practices across the infrastructure stack

What You'll Bring

5+ years of hands-on experience in infrastructure, platform engineering, or SRE roles in high-scale distributed systems
Hands-on experience with at least two major cloud providers (AWS, GCP, or Azure)
Solid understanding of networking, security groups, IAM, SSO/OIDC, and cloud-native security principles
A strong ownership mentality — you don't just flag problems, you fix them
Full professional fluency in Hebrew and English
(Nice to have) Deep expertise with Kubernetes, Helm, and Go — you understand the internals and can build on them, not just deploy
(Nice to have) Experience with cloud cost optimization, resource management, or working at a company that sells infrastructure tooling

About the Company

ScaleOps

Kubernetes optimization platform for cost reduction

ScaleOps provides a cloud cost-optimization platform for Kubernetes environments as a SaaS. It automatically manages container resources by rightsizing CPU and memory in real time based on application demand, eliminating manual tuning. It also offers Smart Pod Placement to consolidate pods across nodes when possible, reducing underutilized capacity and lowering infrastructure costs. This combination helps clients improve workload capacity and performance while cutting cloud spend, with case studies reporting up to 50% savings. The platform differentiates itself by end-to-end automated resource management and intelligent placement within Kubernetes, targeting enterprises that run cloud-native applications. ScaleOps’ goal is to help organizations run Kubernetes more efficiently and cost-effectively through subscription-based access to its optimization engine.

Company size: 51-200
Company stage: Series C
Total funding: $209.5M
Headquarters: Tel Aviv-Yafo, Israel
Founded: 2022

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