Top Engineering Jobs in Charlotte, NC

As a Solutions Integration Engineer IV, you will lead B2B integrations, mentor teams, manage customer relationships, and develop scalable solutions using IoT data.

As a Solutions Integration Engineer, you will lead B2B integrations with Samsara's IoT platform, collaborating with teams to define scopes, develop architecture, and ensure successful customer relationships.

As a Solutions Integration Engineer, you will lead B2B integrations for Samsara's IoT platform across various industries, working closely with customers to deliver technical solutions and support their operational needs.

As a Senior Software Engineer, you'll build systems for route planning, dispatch, and real-time tracking for various logistics and operations, improving dispatcher tools and user experiences.

The role involves building core infrastructure for orchestrating intelligent agents, defining platform primitives, and ensuring systems scale and reliability. Collaboration with internal teams and end-to-end system ownership are essential.

The Senior Staff Software Engineer will lead major projects, drive architectural innovation, interface with customers for solutions, and mentor engineers. Experience in software engineering and a strong grasp of AI, cloud scale, and evolving technologies is essential.

Lead design and delivery of scalable customer-facing features, services, and APIs that process real-time data and AI-powered insights. Build web experiences, contribute to LLM/AI workflows, ensure reliability through observability and rollout practices, and collaborate cross-functionally with Product, Design, ML, and platform teams.

The Senior Software Engineer will lead projects for the Forms platform, designing and building features across web, mobile, and backend systems while mentoring other engineers and improving platform scalability and reliability.

Design, build, and operate scalable, secure data platform infrastructure for ingesting, processing, cataloging, and accessing petabytes of data. Improve Spark/Databricks reliability and developer experience, build ingestion/replication systems, develop internal libraries and tooling (Go/Python), and collaborate with cross-functional teams to support analytics, ML, and customer-facing data products.

Build automated reliability and self-healing platform tooling to protect production at scale. Improve incident management, reduce alert noise, evolve observability (monitoring, SLOs, performance detection), and develop AI-driven operational automation. Partner with product teams to diagnose reliability gaps, drive incident prevention, and champion operational excellence and best practices across engineering.