Senior SRE Lead: Reliability, Incident Mastery, Automation

Precision Labs; San Mateo (CA); Hybrid; USD 170,000 - 230,000; Full time

Job summary

Shield AI is seeking an experienced SRE lead to establish and mature the reliability practices across our cloud infrastructure and platform services. You will work with Cloud Engineering and product teams to define reliability targets, improve observability, and ensure production systems can be operated and recovered predictably.

This role is highly technical and hands-on, involving incident response, tooling development, and mentoring within the Cloud Engineering and Reliability teams to drive

Qualifications

• 7+ years in SRE or related fields.
• Experience operating production services with defined availability requirements.
• Experience implementing SLIs, SLOs, monitoring, alerting, and incident response.
• Experience designing and operating infrastructure in AWS or another major cloud.
• Experience with infrastructure-as-code and automated provisioning.
• Experience supporting containerized applications and distributed systems.
• Experience developing operational tooling using Python or Go.
• Ability to diagnose complex failures across apps, infrastructure, networking, and dependent services.
• Experience leading incident response and root-cause analysis across teams.
• Experience leading and executing on technical vision 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.
• 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

Production systems

SLIs/SLOs

Cloud (AWS)

IaC

Containers & distributed systems

Operational tooling (Python/Go)

Incident response

Technical leadership

Tools

Kubernetes

Terraform

Job description

Shield AI is seeking an experienced SRE lead to establish and mature the reliability practices across our cloud infrastructure and platform services. You will work with Cloud Engineering and product teams to define reliability targets, improve observability, and ensure production systems can be operated and recovered predictably.

This role is highly technical and hands-on, involving incident response, tooling development, and mentoring within the Cloud Engineering and Reliability teams to drive