What you'll do:
- Engineering:
- Oversee the day-to-day management and optimization of cloud-based infrastructure (e.g., Azure, AWS).
- 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.
- Demonstrate a willingness to learn and work with familiar or unfamiliar operating systems and workloads with the desire to leverage automation tasks for repeatable tasks.
- Author and produce the necessary documentation for engineered and maintained systems along with associated processes which supporting teams can leverage.
- Assist in researching, recommending, and developing innovative solutions for complex requirements and issue resolution.
- 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.
- Possess the capacity to participate in on-call, emergency, or maintenance roles.
Required Qualifications:
- Bachelor’s degree in a technical discipline, or at least 4 years of experience plus an engineer level certification, Azure/AWS Associate, or another similar level certification.
- 4 years’ experience supporting applications and systems in a production environment, preferably for a software and/or manufacturing development company.
- Comfortable with operational efficiencies utilizing Infrastructure as Code (IaC) solutions (e.g., Terraform, Ansible).
- 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
- Ability to work independently to accomplish assigned tasks.
- Possesses organizational skills, with a process-oriented mindset, attention to detail, and effective verbal and written communication abilities.
- Solution-oriented, constructive approach to problem-solving.
- Local to San Diego, CA, Dallas, TX , Washington D.C. and Boston, MA
Preferred qualifications:
- Proven engineering experience with deploying and maintaining workloads in Azure public cloud
- Fundamental understanding of at least one type of virtualization platform for private cloud (i.e. VMware, Hyper-V, KVM, etc.).
- Experience in DevOps, Site Reliability Engineering, or cloud infrastructure roles.
- Familiarity with configuration management tools like Ansible, Chef, or Puppet.
- Experience building robust monitoring and alerting systems for mission-critical applications.
- Solid understanding of CI/CD pipelines and possesses the ability to optimize.
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What We Do
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.
Why Work With Us
What makes Shield AI special is our people. We unlock the power of autonomy, and in the face of overwhelming odds and challenges, we find ways to win and make a difference for our customers. We bring together software, AI, and aerospace engineering disciplines to deploy the most intelligent aviation capabilities in the world.
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