2 months ago
Base Salary
$183k - $275k/yr
Responsibilities
- Define and implement service reliability indicators, objectives, and related measures.
- 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 partner with engineering teams to eliminate them.
- Improve system resilience through automation, testing, capacity planning, and failure recovery.
- Develop tooling and automation to reduce manual operational work.
- Incorporate reliability requirements into product and platform system design.
- Establish incident response practices for 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 reliability indicators and objectives, 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 within an engineering organization.
- Preferred experience with Kubernetes and cloud-native observability systems.
- Preferred experience operating systems 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 base pay within the listed range plus bonus, benefits, and equity.
- Temporary employees receive the listed pay 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.
- Military fellows and part-time employees are not eligible for benefits.
Tech Stack
Categories
DevOpsSite 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.