Senior Staff Lead Site Reliability Engineer (R5803)

The role

You will establish and mature the reliability practices for Shield AI's cloud infrastructure and platform services. This is a hands-on technical lead role that also mentors SRE and Cloud Engineering teammates.

What you will do

• Define and implement SLIs, SLOs, and other measures of service reliability
• Build and improve monitoring, alerting, logging, and tracing for infrastructure and platform services
• Lead technical response to complex incidents and drive root-cause analysis through resolution
• Identify recurring failure modes and work with engineering teams to eliminate them
• Improve system resilience through automation, testing, capacity planning, and failure recovery
• Develop tooling and automation that reduces manual operational work
• Partner with product and platform teams to incorporate reliability requirements into system design
• Establish incident response practices that improve detection, diagnosis, communication, and recovery
• Mentor product engineers and teammates in SRE and Cloud Engineering
• Define and manage the short- and long-term SRE roadmap, distributing work across teammates

Required qualifications

• 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
• Experience developing operational tooling or automation using Python, Go, or a similar language
• Ability to diagnose complex failures across applications, infrastructure, networking, and dependent services
• Experience leading incident response and root-cause analysis across engineering teams
• Experience leading and executing on a team's technical vision over multi-quarter timelines

Nice to have

• 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
• Experience with capacity planning, performance analysis, and cloud cost management
• Background supporting shared infrastructure across multiple products or engineering organizations
• Experience building roadmaps in ticketing systems
• Experience acting as a mentor for other engineers

Benefits

• Bonus (full-time regular employees)
• Equity (full-time regular employees)
• Benefits (full-time regular employees)
• Temporary benefits package, applicable after 60 days of employment (temporary employees)

Before you apply

• All offers are contingent on a cleared background check and possible reference check
• Military fellows and part-time employees are not eligible for benefits
• Pay depends on factors including skill set, experience level, licenses and certifications, and work location

About the company

Shield AI is a venture-backed defense-tech company whose mission is protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation technologies.