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Senior Staff Lead Site Reliability Engineer

Shield AI

Skills

Required

  • infrastructure
  • SRE
  • SLOs
  • incident response
  • networking
  • infrastructure-as-code
  • automated infrastructure provisioning
  • containerized applications
  • AWS
  • cloud environment
  • software engineering
  • Python
  • Go
  • Kubernetes

Preferred

  • capacity planning
  • performance analysis
  • cloud cost management
  • ticketing systems
  • cloud infrastructure and platform services

Join Hivemind as a Senior Staff Lead Site Reliability Engineer. In this deeply technical, hands-on role, 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. You will also provide technical leadership for reliability engineering, mentor teammates, and define and manage the SRE roadmap.

Responsibilities

  • Establish and mature the reliability practices used across cloud infrastructure and platform services.
  • Define and implement SLIs, SLOs, and other measures of service reliability, and lead technical response to complex incidents.
  • Mentor product engineers and drive adoption of strong reliability and operational practices, while managing the SRE roadmap.
  • Experience leading and executing on technical vision of a team over multi-quarter timelines

Requirements

  • Ability to diagnose complex failures across applications, infrastructure, networking, and dependent services
  • Experience with infrastructure-as-code and automated infrastructure provisioning
  • Experience supporting containerized applications and distributed systems
  • Experience designing and operating infrastructure in AWS or another major cloud environment
  • 7+ years of experience in SRE, software engineering, infrastructure engineering, or related fields
  • Experience leading incident response and root-cause analysis across engineering teams
  • Experience implementing SLIs, SLOs, monitoring, alerting, and incident response practices
  • Experience developing operational tooling or automation using Python, Go, or a similar language
  • Experience operating production services with defined availability and reliability requirements
  • Experience establishing or maturing an SRE function within an engineering organization

Experience with Kubernetes and cloud-native observability systems

  • Experience operating systems in regulated or compliance-driven environments
  • Background supporting shared infrastructure across multiple products or engineering organizations

Preferred

  • Experience with capacity planning, performance analysis, and cloud cost management
  • Experience with building roadmaps in ticketing systems
  • Experience acting as a mentor for other engineers

Pay

USD 220,000 - 339,974