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Shield AI

Senior Engineer, Software Infrastructure (R2973)

San Diego, CA
Terraform API Git Rust Kubernetes Ansible Docker Bash Python Chef Puppet Go Azure AWS C++
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Description
Introduction to Shield AI
Founded in 2015, Shield AI is a venture-backed defense technology company whose mission is to protect service members and civilians with intelligent systems. In pursuit of this mission, Shield AI is building the world’s best AI pilot. Its AI pilot, Hivemind, has flown a fighter jet (F-16), a vertical takeoff and landing drone (V-BAT), and a quadcopter (Nova). The company has offices in San Diego, Dallas, Washington DC and abroad. Shield AI’s products and people are currently in the field actively supporting operations with the U.S. Department of Defense and U.S. allies. 

As a Hivemind Software Engineer – Infrastructure, 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:

  • Typically requires a minimum of 5 years of related experience with a Bachelor’s degree; or 4 years and a Master’s degree; or 2 years with a PhD; or equivalent work experience.
  • BS in computer science or related engineering field
  • 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
#LI-LD1
#LC

Total package details for U.S. based positions:
- Regular employee positions: Salary within range listed above + Bonus + Benefits + Equity
- Temporary employee positions: Hourly within range listed above + temporary benefits package (applicable after 60 days
of employment)
- Interns/Military Fellows/Part-time not eligible for bonus, benefits or equity

Total package details for International based positions (where applicable):
- International premium, hardship differential, cost of living differential, living quarters allowance, foreign service transfer
allowance, equity, international benefits, visa assistance, and relocation assistance.

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.

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. 
Shield AI
Shield AI
Artificial Intelligence Machine Learning Mechanical Engineering National Security Robotics Security Software

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