Top Software Engineer Jobs in Charlotte, NC

As a Forward Deployed Engineer, you will work with manufacturers to design and implement solutions on the Frontline Operations Platform, integrating various systems and ensuring smooth deployments.

Senior Solutions Engineers drive technical discussions, work on solution designs, and advise customers on best practices to implement Cloudflare products.

Lead a team of Solutions Architects to support enterprise customers, drive technical evaluations, and promote successful adoption of the GitLab platform. Coach and mentor team members while ensuring alignment with sales and product management.

As an Outcome Engineer, you will architect multi-agent systems, implement automated governance, and build evaluation frameworks to enhance AI-powered workflows.

Lead design and evolution of data interfaces, mentor team, support integrations for live clients, and enhance data tools for scalability and efficiency.

Design, build, and optimize production Databricks Lakehouse data pipelines using PySpark, Spark SQL, and Delta Lake. Implement medallion architectures, Unity Catalog governance, CI/CD, and cluster optimization. Collaborate with data science and analytics teams, mentor engineers, monitor production, and drive security, compliance, and performance improvements.

Design and develop software solutions enhancing user experience for Governance features, contribute to open-source software, communicate technical designs, and support team quality through reviews.

The VP of Engineering will oversee day-to-day operations, guide multiple engineering teams, and drive AI-native software development, ensuring product delivery and quality.

Lead design, build, and deploy full-stack software for DoD/IC missions. Rapidly prototype MVPs, integrate systems and APIs, deliver high-performance frontends, collaborate with users, and deploy/test in secure operational environments.

Lead the Creative Serving engineering team to define strategy, roadmap, and execution. Translate business goals into technical deliverables, collaborate with ML and product stakeholders, ensure high-uptime integrations with partner exchanges, provide technical guidance and feedback, enforce engineering best practices, balance short- and long-term priorities, and mentor engineers into future leaders.