Staff Software Engineer, DevOps (R2832)

About Shield AI     
Founded in 2015, Shield AI is a venture-backed defense technology company focused on protecting service members and civilians with intelligent systems. Its flagship autonomy software, Hivemind, powers aircraft, drones, and other platforms, enabling complex missions with high reliability in contested environments. With offices in San Diego, Dallas, Washington, D.C., and internationally, Shield AI’s products actively support U.S. and allied operations worldwide.

For more information, visit www.shield.ai. Follow Shield AI on LinkedIn,Twitter, and Instagram.   

The Aircraft Software Test & Automation team is an ambitious, driven group of engineers focused on testing complex aircraft software integrated onto vehicles and various hardware systems. The team is a cross-discipline group of test engineers, software developers, integration experts, and more; working closely with our Embedded, GNC (Guidance, Navigation & Controls), and System Test teams, the Software Test & Automation team is chartered to provide (1) rigorous, but fast testing and (2) an advanced, robust development & test infrastructure for all aircraft software. Shield AI is building groundbreaking autonomous aircraft technologies, this team provides the complex testing & innovative capabilities required to get us there.

As a DevOps engineer on STA, you will design and implement engineering centric automation across the Aircraft Software department. You will represent our Aircraft Software teams and our needs, working closely with Shield AI’s Developer Experience team to implement best practices, policies, & guidelines into the continuous integration and delivery systems of all aircraft software. 

This role requires you to be very hands on and contribute to discussions with cross-functional teams across Aircraft Engineering. We embrace an attitude that focuses on solving the root cause of problems efficiently. A large part of your day to day will be in our build pipelines, build configuration management, and focusing on making changes to increase developer iteration time.  You will build the infrastructure and tools required to assure rapid development & rigorous testing, working towards the release engineering capabilities required to automatically deploy production software to entire fleet of aircraft.
WHAT YOU'LL DO:
  • Own the Aircraft Software CI/CD system, engaging with autonomy engineers, embedded developers, and the Developer Experience team daily to support as needed. 
  • Build and maintain the capability to run simulation software tests in a container within in a cloud environment, scale the ability to orchestrate testing across a cluster of containers 
  • Manage and own the monitoring tool stack, focusing on build infrastructure metrics.   
  • Manage and own internal build containers used by all of Aircraft Engineering.    
  • Support Autonomy/GNC/Embedded engineers with build issues and educate on best practices.   
  • Manage and own the performance, maintenance, and administration of Hivemind enterprise infrastructure including Azure DevOps, Artifactory, Containers, K8s, etc.   
  • Build & maintain CI/CD pipelines that interacts with Hardware-in-the-loop (HIL) test solutions in order to qualify and stage software for release within staging and production environments 
  • Work closely with the Developer Experience team to improve engineer efficiency. 
  • Create & maintain thorough documentation of software infrastructure designs and development practices, adhering the Aircraft Software department to best practices and appropriate industry standards. 
  • Manage timelines and resources for projects, ensuring deliverables are achieved on time and within budget. 
  • REQUIRED QUALIFICATIONS:
  • BS in computer science or related engineering field with 5-7+ years of professional experience
  • Experience with configuration management tools (Makefile, CMake, Conan, Poetry, etc.)
  • Excellent demonstrated proficiency in continuous integration/delivery tools (e.g. Github Actions, Jenkins, Azure DevOps, etc.)  
  • Strong knowledge with container technologies (Docker, Podman, etc.) and orchestration across cloud environments (Kubernetes, AWS, etc)
  • Strong knowledge of APIs, web services, and identity access management
  • Strong knowledge of scripting languages (Bash, Python, PowerShell)
  • Strong knowledge of Git
  • Strong knowledge of monitoring tools (Grafana, Data Dog, Splunk, Prometheus, ELK, etc.)
  • Strong system administration in Linux (w/ Windows a bonus)  
  • Knowledge of security best practices in software development and infrastructure management. 
  • Strong desire to learn and grow on the job
  • Demonstrated track record of assuming ownership over development processes and features and delivering outstanding outcomes   
  • Proven track record of successfully shipping products, showcasing the ability to navigate through development cycles, overcome obstacles, and deliver high-quality solutions to meet project deadlines and exceed expectations in a fast-paced environment 
  • PREFERRED QUALIFICATIONS:
  • Experience building containers and pipelines that run software tests with simulation 
  • Experience with Hardware in the Loop build/deploy/test systems.   
  • Experience with automating infrastructure setup and configuration management (Terraform, Ansible, etc.) 
  • Experience with a compiled programming language (e.g. C, C++, Rust, Go) in a production environment. 
  • Experience with build management for embedded systems or real-time operating systems. 
  • Experience owning build or CI/CD infrastructure.  
  • Experience with Conan Package management and NVIDIA® Jetson products 
  • Proficiency in network configurations, and database management. 
  • Experience with autonomous vehicles, robotic, or aircraft product development 
  • 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. 
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