The Senior Cloud Engineer will manage and optimize multi-cloud infrastructures, support applications in production, and ensure system reliability and scalability while collaborating with cross-functional teams and adhering to Agile methodologies.
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 nine offices and facilities across the U.S., Europe, the Middle East, and the Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube.
Job Description:
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. This position may involve occasional travel to Shield AI locations.
What you'll do:
- Engineering:
- ·Manage and optimize multi-cloud infrastructure (Azure, AWS) for performance, reliability, and scalability.
- ·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.
- ·Continuously learn and adapt to emerging technologies and platforms, leveraging automation wherever possible.
- ·Author and produce the necessary documentation for engineered and maintained systems along with associated processes that supporting teams can leverage.
- ·Assist in researching, recommending, and developing innovative solutions for complex requirements and issue resolution.
- ·Collaborate cross-functionally with AI, DevOps, and Security teams to ensure compliance, observability, and resilience in mission-critical environments.
- ·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.
- ·Ability to participate in on-call, emergency, or maintenance roles
Required qualifications:
- Bachelor’s degree in Computer Science or related field, or equivalent experience (4+ years) plus an engineer level certification, Azure/AWS Associate, or another similar level certification.
- 4 years’ experience supporting applications and systems in a production environment in high-availability, mission-critical, or defense-grade environments preferred.
- Comfortable with operational efficiencies utilizing Infrastructure as Code (IaC) solutions (e.g., Terraform, Ansible).
- Strong understanding of networking concepts (VPCs, VPNs, subnets, routing, firewalls).
- 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
- Possesses organizational skills, with a process-oriented mindset, attention to detail, and effective verbal and written communication abilities.
- Ability to work independently to accomplish assigned tasks.
- Solution-oriented, constructive approach to problem-solving.
- Preferred locations include San Diego or San Mateo, CA, or Dallas, TX; Washington, D.C., and Boston are also potential options.
Preferred qualifications:
- Experience deploying and maintaining workloads in Azure public cloud environments.
- Hands-on experience with containerization and Kubernetes-based workloads.
- Strong understanding of virtualization and private cloud platforms (e.g., VMware, Hyper-V, KVM).
- Background in DevOps, Site Reliability Engineering (SRE), or cloud infrastructure roles.
- Proficiency with configuration management and automation tools (e.g., Ansible, Chef, Puppet, Terraform).
- Experience building and optimizing CI
#LI-HM1
#LC
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.
###
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.
Top Skills
Ansible
AWS
Azure
Bash
Hyper-V
Kubernetes
Linux
Powershell
Python
Terraform
VMware
Windows Server
Shield AI Waltham, Massachusetts, USA Office
500 Totten Pond Road, Waltham, MA, United States, 02451
Similar Jobs
Big Data • Information Technology • Software • Analytics • Energy
The Sales Manager is responsible for leading and developing a sales team, forecasting sales, coordinating with marketing, and analyzing market trends to enhance sales performance.
Top Skills:
Crm SystemsSaaSSalesforce
Big Data • Information Technology • Software • Analytics • Energy
The Sales Manager will lead a high-performing team, forecast sales, manage client relationships, and implement sales processes to drive growth and retention in the Private Equity sector.
Top Skills:
Crm SystemsSalesforce
Automotive • Hardware • Internet of Things • Mobile • Software • App development • PropTech
The role involves driving marketing, promoting products, managing customer relationships, supporting retail channels, and delivering training presentations for assigned territories.
What you need to know about the Boston Tech Scene
Boston is a powerhouse for technology innovation thanks to world-class research universities like MIT and Harvard and a robust pipeline of venture capital investment. Host to the first telephone call and one of the first general-purpose computers ever put into use, Boston is now a hub for biotechnology, robotics and artificial intelligence — though it’s also home to several B2B software giants. So it’s no surprise that the city consistently ranks among the greatest startup ecosystems in the world.
Key Facts About Boston Tech
- Number of Tech Workers: 269,000; 9.4% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Thermo Fisher Scientific, Toast, Klaviyo, HubSpot, DraftKings
- Key Industries: Artificial intelligence, biotechnology, robotics, software, aerospace
- Funding Landscape: $15.7 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Summit Partners, Volition Capital, Bain Capital Ventures, MassVentures, Highland Capital Partners
- Research Centers and Universities: MIT, Harvard University, Boston College, Tufts University, Boston University, Northeastern University, Smithsonian Astrophysical Observatory, National Bureau of Economic Research, Broad Institute, Lowell Center for Space Science & Technology, National Emerging Infectious Diseases Laboratories
