Startups · AI

Senior Staff Lead Site Reliability Engineer (R5803)

Shield AI · San Diego, California · On-site

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About Shield AI

Autonomy for the world. Backed by a16z.

About the role

As the SRE Lead, you will establish and mature the reliability practices used across our cloud infrastructure and platform services. You will work with Cloud Engineering and product teams to define reliability targets, improve observability, and ensure that production systems can be operated and recovered predictably.

What they're looking for

  • 7+ years of experience in SRE, software engineering, infrastructure engineering, or related fields
  • Experience operating production services with defined availability and reliability requirements
  • Experience implementing SLIs, SLOs, monitoring, alerting, and incident response practices
  • Experience designing and operating infrastructure in AWS or another major cloud environment
  • Experience with infrastructure-as-code and automated infrastructure provisioning
  • Experience supporting containerized applications and distributed systems
More about this role

Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai . Follow Shield AI on LinkedIn , X , Instagram , and YouTube .

Hivemind is looking for an experienced SRE lead to help drive the establishment of our SRE function.

As the SRE Lead, you will establish and mature the reliability practices used across our cloud infrastructure and platform services. You will work with Cloud Engineering and product teams to define reliability targets, improve observability, and ensure that production systems can be operated and recovered predictably.

This is a deeply technical, hands-on role. You will investigate complex failures, improve the systems and tooling used to operate our platforms, and turn lessons from incidents into engineering improvements. You will provide technical leadership for...

Read the full posting on Shield AI's site ↗

Software Ops

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