Top Software Engineer Jobs in Charlotte, NC

Builds simulation infrastructure and software-in-the-loop sensor simulation products that help customers test and validate autonomous driving, drone delivery, eVTOL, robotics, and other physical AI systems safely at scale.

Lead and mentor a software engineering team, provide technical guidance, drive architecture and engineering excellence, manage sprint execution, collaborate on product roadmaps, ensure scalable and reliable systems, foster continuous improvement, and support recruiting and onboarding. The role requires balancing technical strategy with business impact while developing high-performing engineers.

Develop and deliver high-volume enterprise applications across the full software development lifecycle. Design, code, test, debug, optimize SQL solutions, troubleshoot complex issues, contribute to scalable architecture, collaborate with technical and business stakeholders, and mentor other developers. Work independently while participating in Agile development and production implementation.

Own and evolve enterprise AWS infrastructure, governance, security, identity, networking, and shared platforms. Build and operate full-stack services in TypeScript and Python, automate infrastructure and delivery, improve monitoring and reliability, manage incidents and on-call operations, and establish audit-ready controls. Partner across engineering and IT, improve production readiness, and mentor engineers while delivering secure, scalable, low-blast-radius systems.

Designs, develops, deploys, administers, and sustains MuleSoft Anypoint Platform and/or Informatica integrations in AWS GovCloud. Builds secure REST APIs and Mule applications, manages API gateways and lifecycle governance, implements authentication, monitoring, CI/CD, and data synchronization, and integrates Navy logistics and mission-partner systems. The role also performs testing, documentation, incident triage, performance tuning, RMF/STIG support, stakeholder coordination, and knowledge transfer.

Own ambiguous, cross-team product engineering problems from framing through launch and iteration. Partner with product, design, and data; lead architecture, reliability, performance, and technical decisions across the stack. Influence teams without formal authority, mentor engineers, improve engineering practices, use metrics and experimentation, and apply AI throughout software development. Participate in on-call support.

Lead the architecture, development, testing, and maintenance of scalable backend systems and APIs. Drive technical decisions, code quality, performance optimization, documentation, continuous delivery, and monitoring. Collaborate with product, design, and engineering teams to translate requirements into reliable solutions. Mentor junior engineers, conduct code reviews, resolve complex technical issues, and contribute to agile development and overall technology strategy.

Build and improve Go backend services, GraphQL APIs, relational data models, background jobs, and third-party integrations. Write SQL, automated tests, and production fixes while improving reliability and performance through logs and metrics. Collaborate with product, design, mobile, and frontend engineers to ship collector-facing features. The role requires ownership, clear communication, fast learning, and comfort working in a small, rapidly changing startup environment.

Own Salesforce Marketing Cloud technical development, including data extensions, SQL segmentation, journeys, automations, APIs, integrations, personalization, QA, governance, compliance, reporting, and data quality. Maintain Marketing Cloud Connect and Knak integrations, protect healthcare-related data, manage consent workflows, and ensure accurate data flows across Salesforce and reporting platforms. Partner closely with Lifecycle Marketing and Marketing Analytics teams across multiple brands and business units.

Design and maintain scalable services, APIs, distributed systems, and data pipelines for AI training data infrastructure. Own systems through design, implementation, testing, deployment, and monitoring. Lead architectural decisions, improve reliability and scalability, mentor engineers, and collaborate with AI/ML, product, and data operations teams. Contribute to CI/CD, containerization, DevOps, and cloud deployment practices.