Staff Engineer, DevOps/Infrastructure Engineer (R3493)

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 nine 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 Follow Shield AI on LinkedIn , X , Instagram , and YouTube .

Job Description:

As a Hivemind Software Engineer, you will design and implement engineering centric automation across the organization. You will work closely with the rest of the Software Operations team maintaining infrastructure-as-code. This role requires you to be very hands on and contribute to discussions with cross-functional teams across the organization. We embrace an attitude that focuses on solving the root cause of problems efficiently. A large part of your day to day will be building out solutions to automate infrastructure, talking to enterprise operations (IT, Cyber), and the Developer Experience team.

What you'll do:

• Own all infrastructure-as-code for Hivemind
• Own the monitoring tool stack, focusing on build infrastructure metrics
• Own internal build containers used by all of the Hivemind organization
• Support AI engineers with any infrastructure they need
• Manage and own the performance, maintenance, and administration of Hivemind enterprise infrastructure including Azure DevOps, AWS, Artifactory, Containers, K8s, etc.
• Work closely with the Developer Experience and Build & Release teams to improve engineer efficiency

Required qualifications:

• BS in computer science or related engineering field with 2+ years of professional experience.
• Experience with infrastructure-as-code tools (Terraform, Pulumi, Azure ARM, CloudFormation, Crossplane).
• Experience with configuration management tools (Ansible, Chef, Puppet).
• Demonstrated proficiency in continuous integration/delivery (Github Actions, ADO, TeamCity, etc.).
• DevOps experience with a cloud service (Google, Azure, AWS).
• Knowledge of APIs, web services, and identity access management.
• Knowledge of containers (Docker, Podman, etc.).
• Knowledge of scripting languages (Bash, Python).
• Knowledge of Git.
• Knowledge of monitoring tools (Grafana, Datadog, Splunk, Prometheus, ELK, etc.).
• System administration in Linux.
• Desire to learn and grow on the job.

Preferred qualifications:

• Experience with a compiled programming language (e.g. C, C++, Rust, Go).
• Experience owning build infrastructure.
• Experience with container orchestration (Kubernetes, Nomad, Docker Swarm).
• Ability to develop software, APIs, services, and tools
• Proven experience owning a project from a simple idea to production product

$156,000 - $235,000 a year

#LI-LD1

#LB

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.

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.