Infra Engineer Team Lead - US

ScaleOps

United States

On-site

USD 140,000 - 200,000

Full time

6 hours ago
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Job summary

ScaleOps is redefining autonomous cloud and AI infrastructure. We empower DevOps and platform engineers by automating resource management to maximize performance and cut cloud costs.

Join a category-leading team trusted by enterprises to autonomously manage critical environments. As a Senior Infrastructure/Platform Engineer, you will own the end-to-end stack, manage AWS, GCP, and Azure deployments, and collaborate with customers and R&D to deliver rapid, reliable features while ensuring security

Qualifications

  • 5+ years of hands-on infrastructure/platform engineering or SRE experience in high-scale distributed systems.
  • 2+ years of proven experience leading software engineering initiatives and mentoring engineers in production.
  • 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.

Responsibilities

  • Own ScaleOps' infrastructure end-to-end — self-hosted product, installation and onboarding flows, 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 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.

Skills

Cloud providers experience
SRE / infra leadership
Networking & security
Hebrew & English fluency
Kubernetes
Go
Helm

Tools

Kubernetes
Go
Helm

Job description

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 Will 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 Bring Along
  • 5+ years of hands-on experience in infrastructure, platform engineering, or SRE roles in high-scale distributed systems
  • 2+ years of proven experience leading software engineering initiatives and mentoring engineers in a production environment.
  • 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
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