Senior SRE Lead: Reliability & Cloud Platforms

Shield AI; San Mateo (CA); On-site; USD 220,000 - 340,000; Full time

Benefits offered by this job

Bonus

Benefits

Equity

Job summary

Shield AI is seeking an experienced SRE Lead to establish and mature a reliability program across our cloud infrastructure and platform services. You will define targets, improve observability, and guide production systems to operate and recover predictably.

This role is hands-on and technical, investigating complex failures, building tooling, and mentoring teams to embrace a reliability-first mindset while driving multi-quarter technical vision and roadmap.

Qualifications

• 7+ years 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 technical vision of a team over multi-quarter timelines.

Responsibilities

• 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 drive adoption of strong reliability and operational practices
• Mentor teammates in SRE and Cloud Engineering
• Define and manage short-and-long term SRE roadmap, distributing work across teammates

Skills

SRE experience

Incident response

Python/Go tooling

System observability

Tools

AWS

Kubernetes

Terraform

Job description

Shield AI is seeking an experienced SRE Lead to establish and mature a reliability program across our cloud infrastructure and platform services. You will define targets, improve observability, and guide production systems to operate and recover predictably.

This role is hands-on and technical, investigating complex failures, building tooling, and mentoring teams to embrace a reliability-first mindset while driving multi-quarter technical vision and roadmap.