"fleet management" Jobs
91 open tech roles matching “fleet management”, taken straight from company career pages — not reposted from other job boards. Most in demand right now: Python, Kubernetes, Go. Every listing is re-checked daily and closed roles are removed.
Showing 20 of 91 results
Join LangChain as an IT Engineer to build scalable systems and support a global team in a rapidly growing environment.
Architect endpoint security across macOS, Windows, and mobile devices while automating device lifecycle management.
Lead a high-performing engineering team to architect and manage distributed container infrastructure at the edge.
Join Reflection AI as a Member of Technical Staff - IT Engineer, managing IT operations and supporting executives in a dynamic environment.
Join Anthropic as a Staff+ Software Engineer to build production systems for capacity engineering in a hybrid work environment.
Lead the Americas IT Support team at Anthropic, focusing on employee technology needs and team development across multiple locations.
Join Anthropic as a Staff Software Engineer to enhance deployment infrastructure for AI systems in a collaborative environment.
Serve as a strategic finance manager, advising senior leadership and driving key decisions in a fast-paced, AI-driven insurance company.
Join Skydio as a Field Support Representative to provide technical support and training for UAS systems in the Greater NYC area.
Join Motive as a Staff Engineer to enhance developer productivity through automation and scalable infrastructure.
Join Motive as a Staff Engineer to enhance developer productivity through automation and infrastructure for a diverse range of products.
Join Anthropic's Inference team to design and maintain distributed systems serving AI models to millions globally.
Join CoreWeave as a Sr. Infrastructure Capacity Program Manager to lead NPI hardware programs and ensure infrastructure readiness.
Join Kaizen Labs as an IT Operations Manager to build and manage corporate identity and device systems for government technology.
Own the execution of hardware systems from concept through production deployment in a fast-paced AI environment.