2 months ago
Base Salary
$220k - $330k/yr
Responsibilities
- Define and implement SLIs, SLOs, and other service reliability measures.
- Build and improve monitoring, alerting, logging, and tracing for infrastructure and platform services.
- Lead technical responses to complex incidents and drive root-cause analysis through resolution.
- Identify recurring failure modes and improve system resilience through automation, testing, capacity planning, and recovery engineering.
- Develop tooling and automation to reduce 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 Cloud Engineering and Reliability teammates.
- Define and manage short- and long-term SRE roadmaps and distribute work across teammates.
Requirements
- 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 a team's technical vision over multi-quarter timelines.
- Preferred experience establishing or maturing an SRE function, using Kubernetes and cloud-native observability systems, and operating in regulated or compliance-driven environments.
- Preferred experience with capacity planning, performance analysis, cloud cost management, shared infrastructure, ticketing-system roadmaps, and engineering mentorship.
Benefits
- Full-time regular employees receive pay within the listed range plus bonus, benefits, and equity.
- Temporary employees receive pay within the listed range plus a temporary benefits package applicable after 60 days of employment.
- This is a full-time regular employee opportunity; offers are contingent on a cleared background and possible reference check.
- Shield AI is an equal opportunity and affirmative action employer and provides accommodations for disabilities or special needs.
Tech Stack
Categories
Site Reliability
About Shield AI
Shield AI builds autonomous systems for military and national security customers, combining its Hivemind autonomy software with V-BAT and X-BAT unmanned aircraft and Aechelon simulation technologies. The privately held company sells hardware, software, and related services to U.S. and allied defense agencies. Founded in 2015 and headquartered in San Diego, it operates across the U.S., Europe, the Middle East, and Asia-Pacific, and its technology is used in operational deployments.