Hivemind Division
Sr. Staff Lead Site Reliability Engineer (R5803)
- Location
- San Mateo, California, United States
- Work type
- On-site · Full-time
- Salary
- USD 220,000 – 339,974 / year
- Posted
- (1 month ago)
About the role
Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube.
Job Description:
Hivemind is looking for an experienced SRE lead to help drive the establishment of our SRE function.
As the SRE lead, you will establish and mature the reliability practices used across our cloud infrastructure and platform services. You will work with Cloud Engineering and product teams to define reliability targets, improve observability, and ensure that production systems can be operated and recovered predictably.
This is a deeply technical, hands-on role. You will investigate complex failures, improve the systems and tooling used to operate our platforms, and turn lessons from incidents into engineering improvements. You will provide technical leadership for reliability engineering, helping teams adopt practices that improve system health without adding unnecessary process.
You will act as a thought-leader and mentor within the Cloud Engineering and Reliability teams to level up teammates and encourage building with a reliability-first mindset.
What You'll 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 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
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 technical vision of a team over multi-quarter timelines
Preferred Qualifications:
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 with building roadmaps in ticketing systems
Experience acting as a mentor for other engineers
Full-time regular employee offer package:
Pay within range listed + Bonus + Benefits + Equity
Temporary employee offer package:
Pay within range listed above + temporary benefits package (applicable after 60 days of employment)
Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.
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Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know.