Top Senior Level Software Engineer Jobs in Charlotte, NC

Leads and develops software engineering teams responsible for building next-generation data products. Duties include recruiting, coaching, career development, process improvement, quality standards, software delivery, technology evaluation, and fostering collaborative Agile/Scrum practices. The role also requires knowledge of Java, JavaScript, or Python, strong automation and testing practices, and experience with modern software architectures.

Leads the mobile engineering team responsible for designing, developing, testing, deploying, and maintaining iOS and Android applications. Establishes engineering practices, oversees code quality, resolves technical issues, and uses DevOps and observability tools to improve application health. Partners with product, scrum, technology, vendor, and business teams to manage roadmaps, resources, budgets, delivery plans, and operational standards while mentoring engineers and supporting stakeholder alignment.

Leads the development and deployment of data solutions using Palantir Foundry and AIP. Manages engineering teams, coaches team members, oversees project planning and execution, analyzes system interactions, manages client relationships, and drives innovation. The role applies software engineering, data engineering, analytics, and AI/ML techniques to deliver scalable client solutions while maintaining technical and professional standards.

Serve as the principal technical authority for a web-based RIA platform, defining architecture, engineering standards, and technical vision. Design and implement Java, Spring Boot, and React.js solutions, lead backend services, APIs, resilient integrations, and core custody workflows. Mentor engineers, ensure secure and scalable third-party integrations, and collaborate with product, security, and enterprise architecture stakeholders.

Design, develop, test, deploy, and support enterprise Java applications, REST APIs, microservices, and batch-processing platforms. Lead system design, code reviews, modernization, security, performance optimization, production support, incident resolution, and CI/CD improvements. Collaborate with business, QA, DevOps, and architecture teams while mentoring junior engineers and using approved AI tools to improve development workflows.

Lead and manage software engineering teams: run agile processes, design and ship secure scalable APIs and services, guide architecture, manage technical debt, recruit and mentor engineers, and align work with company objectives.

Define architecture and metrics for autonomous driving evaluation, lead cross-functional integration across autonomy and simulation teams, develop statistical and machine learning methods, analyze large-scale time-series data, manage evaluation KPIs and release gates, and communicate safety and readiness insights through dashboards and stakeholder presentations.

Design and implement C++ features for MongoDB’s replication infrastructure, improving availability, recovery, consistency, performance, and fault tolerance. Diagnose distributed-systems issues, develop comprehensive tests, collaborate across engineering teams, participate in design and code reviews, and mentor junior engineers. The role involves owning technical work from investigation through delivery and contributing to major MongoDB releases.

Lead the design, development, and operation of integrations and API products. Establish standards for API contracts, authentication, authorization, versioning, reliability, observability, documentation, and developer experience. Drive cross-team system architecture, production readiness, scalability, security, and resilience while mentoring engineers and aligning technical decisions with product and business goals.

Architect and evolve Navan’s frontend platform across 20+ engineering teams. Build micro-frontend infrastructure, shared libraries, developer tools, AI-assisted coding workflows, testing standards, and reusable AI experience components. Drive framework migrations, performance optimization, reliability, security, and adoption of engineering standards. Collaborate with Security, AI platform, Product, and engineering teams while mentoring developers and measuring delivery, quality, reliability, and AI workflow outcomes.