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Founded in 2015, Shield AI is a venture-backed defense technology company with the mission of protecting service members and civilians with intelligent, autonomous systems. Its products include Hivemind Enterprise—EdgeOS, Pilot, Commander, and Forge—as well as V-BAT and Sentient Vision Systems (wide-area motion imaging software). With offices in San Diego, Dallas, Washington, D.C., Abu Dhabi (UAE), Kyiv (Ukraine), and Melbourne (Australia), Shield AI’s technology actively supports U.S. and allied operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X and Instagram.
As a Cloud SRE/DevOps Engineer on the Forge team, you will be responsible for optimizing Forge’s cloud deployments and owning the processes that enable customers to deploy their own Forge instances. You will manage Shield AI’s internal Hivemind instances, working closely with the software operations and engineering teams to ensure Forge can scale for simulation, testing, and bursts of use. You will also enable seamless upgrades, canary deployments, and system robustness. Additionally, you’ll serve as the primary point of contact for the customer engagement team, providing expert guidance on deploying Forge in customer environments.
What You'll Do:
- Optimize cloud deployments of Forge to ensure scalability, reliability, and cost efficiency.
- Design and document processes for external customers to deploy Forge instances using the SDK in on-premises or hybrid environments.
- Manage and maintain internal Hivemind instances, ensuring their ability to handle large-scale simulation and testing workloads.
- Collaborate with the software operations team to enhance Forge’s ability to scale dynamically, accommodate bursts of use, and support continuous upgrades with minimal disruption.
- Develop tools and processes for canary deployments, ensuring smooth rollouts of new features and updates.
- Serve as the primary technical consultant for the customer engagement team, providing expertise on deploying and managing Forge in external environments.
- Create and maintain detailed, user-friendly documentation and tutorials for deployment processes, catering to both internal teams and external customers.
- Monitor, troubleshoot, and resolve issues related to Forge deployments, ensuring high availability and performance.
Required Qualifications:
- Typically requires a minimum of 5 - 15 years of related experience with a Bachelor’s degree
- 2 - 10+ years of experience in DevOps, Site Reliability Engineering, or cloud infrastructure roles.
- Expertise in cloud platforms such as AWS, Azure, or GCP, including deploying and managing scalable, distributed systems.
- Strong experience with Kubernetes and containerization.
- Experience creating Helm charts.
- Solid understanding of infrastructure-as-code tools like Terraform, CloudFormation, or similar.
- Proficiency in scripting and programming languages such as Python, Golang, or Bash.
- Demonstrated experience optimizing CI/CD pipelines, implementing canary deployments, or tools like ArgoCD and FluxCD.
- Familiarity with networking concepts and protocols, as well as system monitoring tools (e.g., Prometheus, Grafana).
- Experience deploying and configuring databases such as Postgres.
- Excellent technical writing skills, with a proven ability to create clear, comprehensive documentation and tutorials.
- BS/MS in Computer Science, Engineering, or equivalent practical experience.
- Ability to work cross-functionally and communicate effectively with engineering, operations, and customer-facing teams.
Preferred Qualifications:
- Experience with secure software deployments in regulated industries such as aerospace, defense, or finance.
- Systems software development experience using programming languages like C++, Rust or Golang.
- Experience building software development kits or productized tools for deploying cloud systems.
- Knowledge of hybrid and on-premises deployment strategies and challenges.
- Hands-on experience with database performance optimization and scaling strategies.
- Familiarity with configuration management tools like Ansible, Chef, or Puppet.
- Experience building robust monitoring and alerting systems for mission-critical applications.
- Background in managing high-throughput simulation or testing environments.
- Experience optimizing databases
#LI-LD1
#LF
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.
What you need to know about the Austin Tech Scene
Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.
Key Facts About Austin Tech
- Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
- Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
- Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
- Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center
