Lead the establishment and maturation of the SRE function across cloud infrastructure and platform services. Define reliability targets, build observability and automation, lead incident response and root-cause analysis, improve resilience and recovery, and reduce operational toil. Partner with product and platform teams on reliability-focused design, establish incident practices, manage the SRE roadmap, and mentor engineers across Cloud Engineering and Reliability.
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.
###
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.
Similar Jobs at Shield AI
Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software
Lead the establishment and maturation of the SRE function across cloud infrastructure and platform services. Define reliability targets, build observability, lead incident response and root-cause analysis, improve resilience through automation and testing, and develop operational tooling. Partner with engineering teams on reliability requirements, establish incident practices, mentor engineers, and manage the short- and long-term SRE roadmap.
Top Skills:
AWSGoKubernetesPython
Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software
Designs and automates security controls across AWS infrastructure, containers, CI/CD systems, and platform services. Builds hardened container images, integrates vulnerability and configuration scanning, manages secrets and identity controls, automates compliance checks, and supports audit evidence. Diagnoses security weaknesses and drives remediation with engineering teams. At the Staff level, establishes reusable security patterns and promotes adoption across multiple teams while balancing security, reliability, and developer productivity.
Top Skills:
AWSBashCi/CdContainerizationGoInfrastructure As CodePython
Aerospace • Artificial Intelligence • Machine Learning • Robotics • Software
Lead the establishment and maturation of the SRE function across cloud infrastructure and platform services. Define reliability targets, build observability, lead incident response and root-cause analysis, improve resilience through automation and testing, and develop operational tooling. Partner with engineering teams on reliability requirements, establish incident practices, mentor engineers, and manage the short- and long-term SRE roadmap.
Top Skills:
AWSGoKubernetesPython
What you need to know about the Los Angeles Tech Scene
Los Angeles is a global leader in entertainment, so it’s no surprise that many of the biggest players in streaming, digital media and game development call the city home. But the city boasts plenty of non-entertainment innovation as well, with tech companies spanning verticals like AI, fintech, e-commerce and biotech. With major universities like Caltech, UCLA, USC and the nearby UC Irvine, the city has a steady supply of top-flight tech and engineering talent — not counting the graduates flocking to Los Angeles from across the world to enjoy its beaches, culture and year-round temperate climate.
Key Facts About Los Angeles Tech
- Number of Tech Workers: 375,800; 5.5% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Snap, Netflix, SpaceX, Disney, Google
- Key Industries: Artificial intelligence, adtech, media, software, game development
- Funding Landscape: $11.6 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Strong Ventures, Fifth Wall, Upfront Ventures, Mucker Capital, Kittyhawk Ventures
- Research Centers and Universities: California Institute of Technology, UCLA, University of Southern California, UC Irvine, Pepperdine, California Institute for Immunology and Immunotherapy, Center for Quantum Science and Engineering
