Senior Cloud Engineer (R4222)
Company: Shield AI
Location: San Diego
Posted on: February 16, 2026
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Job Description:
Job Description Job Description Founded in 2015, Shield AI is a
venture-backed deep-tech company with the mission of protecting
service members and civilians with intelligent systems. Its
products include the V-BAT and X-BAT aircraft, Hivemind Enterprise,
and the Hivemind Vision product lines. With offices and facilities
across the U.S., Europe, the Middle East, and the 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: Shield AI is
looking for a Cloud Engineer to support its leadership in applied
artificial intelligence development. In this role, you will be
responsible for engineering, deploying, provisioning, and managing
critical cloud systems that drive innovation across Shield AI’s
public and private cloud environments, both domestically and
internationally. As part of the Cloud and Infrastructure team
within Enterprise Operations, you will play a key role in ensuring
the performance, scalability, and reliability of these systems to
support various business units. This position may involve
occasional travel to Shield AI locations. What you'll do:
Engineering: ·Manage and optimize multi-cloud infrastructure
(Azure, AWS) for performance, reliability, and scalability.
·Support and optimize cloud and virtual machine environments,
assisting with capacity planning, performance monitoring, security
compliance, and vulnerability remediation. ·Assist in implementing
and maintaining infrastructure systems, including servers, storage,
backup solutions, and disaster recovery processes, for both public
and private clouds. ·Continuously learn and adapt to emerging
technologies and platforms, leveraging automation wherever
possible. ·Author and produce the necessary documentation for
engineered and maintained systems along with associated processes
that supporting teams can leverage. ·Assist in researching,
recommending, and developing innovative solutions for complex
requirements and issue resolution. ·Collaborate cross-functionally
with AI, DevOps, and Security teams to ensure compliance,
observability, and resilience in mission-critical environments.
·Participate in Agile methodologies and sound engineering
principles. Operations and Support: ·Perform daily system
monitoring, verifying the integrity and availability of all server
resources, systems and key processes, reviewing system and
application logs. ·Support system maintenance and upgrades,
including OS patching, software configuration, hardware updates,
and performance tuning to ensure optimal cloud infrastructure
performance. ·Provide escalated support for operational issues
possibly during and after normal business hours for systems,
workloads, and Kubernetes AI infrastructure. ·Analyze, troubleshoot
and resolve system infrastructure and software issues. ·Ability to
participate in on-call, emergency, or maintenance roles Required
qualifications: Bachelor’s degree in Computer Science or related
field, or equivalent experience (4 years) plus an engineer level
certification, Azure/AWS Associate, or another similar level
certification. 4 years’ experience supporting applications and
systems in a production environment in high-availability,
mission-critical, or defense-grade environments preferred.
Comfortable with operational efficiencies utilizing Infrastructure
as Code (IaC) solutions (e.g., Terraform, Ansible). Strong
understanding of networking concepts (VPCs, VPNs, subnets, routing,
firewalls). Experience in automating repetitive tasks using
scripting languages such as PowerShell, Python, or Bash. Experience
with deployment and systems administration of at least one type of
Linux distribution (i.e. RHEL, Ubuntu) Experience with concepts of
Microsoft Windows Server administration, Azure and Active Directory
environments Possesses organizational skills, with a
process-oriented mindset, attention to detail, and effective verbal
and written communication abilities. Ability to work independently
to accomplish assigned tasks. Solution-oriented, constructive
approach to problem-solving. Preferred locations include San Diego
or San Mateo, CA, or Dallas, TX; Washington, D.C., and Boston are
also potential options. Preferred qualifications: Experience
deploying and maintaining workloads in Azure public cloud
environments. Hands-on experience with containerization and
Kubernetes-based workloads. Strong understanding of virtualization
and private cloud platforms (e.g., VMware, Hyper-V, KVM).
Background in DevOps, Site Reliability Engineering (SRE), or cloud
infrastructure roles. Proficiency with configuration management and
automation tools (e.g., Ansible, Chef, Puppet, Terraform).
Experience building and optimizing CI LI-HM1 LC 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. We may use
artificial intelligence (AI) tools to support parts of the hiring
process, such as reviewing applications, analyzing resumes, or
assessing responses. These tools assist our recruitment team but do
not replace human judgment. Final hiring decisions are ultimately
made by humans. If you would like more information about how your
data is processed, please contact us.
Keywords: Shield AI, La Mirada , Senior Cloud Engineer (R4222), IT / Software / Systems , San Diego, California
