Infra Engineer Team Lead - US

ScaleOps

United States

On-site

USD 140,000 - 200,000

Full time

3 days ago
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Job summary

ScaleOps is redefining autonomous cloud and AI infrastructure, freeing DevOps and platform engineers from manual resource tuning to maximize performance and cut cloud costs.

We deliver an autonomous infrastructure management platform trusted by Fortune 100 companies, spanning AWS, GCP and Azure, with security-first deployment and close collaboration with customers to deploy and troubleshoot at scale.

Qualifications

  • 5+ years in infrastructure, platform engineering, or SRE for high-scale systems.
  • 2+ years leading software engineering initiatives and mentoring engineers.
  • Hands-on experience with two major cloud providers (AWS, GCP, or Azure).
  • Strong knowledge of networking, IAM, SSO/OIDC, and cloud-native security.
  • Ownership mentality — you fix problems, not just flag them.
  • Fluent professional English.

Responsibilities

  • Own ScaleOps' infrastructure end-to-end across self-hosted product, SaaS platform, and AI infrastructure.
  • Manage cloud infrastructure across AWS, GCP, and Azure including networking, security, SSO, and compute.
  • Collaborate with customers on deployments and troubleshooting.
  • Partner with backend, product, and R&D teams to enable rapid feature delivery with reliability.
  • Identify and eliminate operational toil through automation and tooling improvements.
  • Maintain security and compliance best practices across the stack.

Skills

Infrastructure experience
Platform engineering
SRE experience
Leadership of engineering initiatives
Cloud provider experience (AWS, GCP,or
Networking and IAM knowledge
SSO/OIDC security principles
Ownership mindset
English fluency

Tools

Kubernetes
Helm
Go

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 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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