Sand Technologies

United States
684 Total Employees

Jobs at Sand Technologies

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2 Days AgoSaved
Remote
United States
Artificial Intelligence • Information Technology • Consulting
Lead end-to-end deployment and operation of cloud infrastructure and Symmetri environments for US customers. Provision, configure, monitor, maintain, upgrade, and troubleshoot cloud, single-tenant, on-premises, and air-gapped environments. Manage Kubernetes, networking, IAM, infrastructure as code, resource planning, incident response, runbooks, and root-cause analysis. Represent the company in customer security reviews and help establish US deployment and operations standards and teams.
17 Days AgoSaved
Remote
United States
Artificial Intelligence • Information Technology • Consulting
Leads US application engineering across public and private sector engagements, building and scaling high-performing technical teams. Oversees end-to-end delivery of AI and software programs on the Symmetri Platform, ensuring quality, profitability, reusable components, and client value. Partners with Product to shape roadmaps, supports GTM activities and business development, develops senior client relationships, and drives innovation, technical excellence, talent development, and scalable delivery practices.
17 Days AgoSaved
Remote
United States
Artificial Intelligence • Information Technology • Consulting
Forward Deployed Engineers embed with customers to identify operational problems, analyze imperfect data, rapidly prototype and deploy AI-powered solutions, and drive adoption. Responsibilities include building pipelines, models, dashboards, optimizers, agents, and operational applications; collaborating with stakeholders; training users; improving platform capabilities; and supporting follow-on customer opportunities. The role requires technical execution, product thinking, client partnership, commercial awareness, and significant travel.
One Month AgoSaved
Remote
United States
Artificial Intelligence • Information Technology • Consulting
Design, build, and scale backend services, microservices, APIs, and secure cloud applications for physical AI solutions. Integrate AI models and data pipelines, manage infrastructure across AWS, Azure, or GCP, implement testing and CI/CD practices, support real-time data systems, and mentor junior engineers. The role also requires front-end development with React and JavaScript, SQL database work, data visualization, production deployments, and frequent client-site travel.