Senior Cloud Engineer, Shield AI

• 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 and Washington D.C

Desirable

• Shield AI is looking for a Cloud Engineer to support its leadership in applied artificial intelligence development
• In this role, you will be responsible for engineering, deploying, provisioning, and managing critical cloud systems that drive innovation across Shield AI’s public and private cloud environments, both domestically and internationally
• As part of the Cloud and Infrastructure team within Enterprise Operations, you will play a key role in ensuring the performance, scalability, and reliability of these systems to support various business units
• 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
• 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

• All offers are contingent on a cleared background and possible reference check