Top Senior Level Software Engineer Jobs in Charlotte, NC

Modernize and re-platform Wells Fargo’s cash processing applications using cloud platforms, APIs, workflow engines, data streams, and object storage. Lead complex software engineering initiatives, provide technical direction to leadership, develop Java/J2EE and Spring applications, and deliver scalable, secure, resilient enterprise solutions. The role requires API-driven development, GenAI-assisted development, cloud expertise, strong problem-solving, and the ability to lead engineering teams and large-scale projects in a hybrid Charlotte environment.

Leads end-to-end ownership of Workplace Service Delivery platform capabilities, translating business needs into secure technical solutions. Responsibilities include roadmap execution, architecture collaboration, risk management, incident leadership, production support, testing, release readiness, integrations, platform optimization, operational metrics, stakeholder and vendor management, and mentoring engineers. The role requires full-stack development expertise, enterprise integrations, microservices, system architecture, and collaboration across engineering, security, infrastructure, and business teams.

Principal engineer leading architecture and technology strategy for global commodities trading platforms. Designs scalable, resilient, low-latency systems supporting trade capture, pricing, risk management, regulatory reporting, and downstream processing. Partners with traders, quantitative analysts, product managers, and engineering teams while advising leadership, modernizing platforms, and establishing engineering standards. Requires deep capital markets, FICC trade lifecycle, Java or Python, and distributed systems expertise.

Design, develop, test, and support scalable Java and Spring Boot microservices for order management and omnichannel retail workflows. Build event-driven systems with Kafka, integrate relational and NoSQL databases, implement automated testing, and improve observability, reliability, performance, and deployment automation. Partner with product and architecture teams, translate requirements into technical solutions, mentor engineers, contribute to code reviews and documentation, and evaluate modern engineering tools and technologies.

Design and implement integration solutions and platform architectures to enable efficient data flow and hybrid cloud operations. Collaborate with clients to translate business requirements into technical designs, lead enterprise application integration and API strategies, manage project lifecycles, troubleshoot processes, and mentor junior team members to improve operational efficiency in banking environments.

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.

Build backend-focused Java/Kotlin APIs and data-driven product features, while contributing to React dashboards and workflows. Design scalable systems, participate in architecture and code reviews, troubleshoot production issues using observability tools, and collaborate with data, reporting, design, and product teams to launch emerging products.

Lead development of scalable Java backend applications and high-availability cloud services. Design architectures, REST APIs, databases, caching systems, and distributed session infrastructure. Mentor engineers, drive technical initiatives, address performance and scalability challenges, and uphold quality and automation practices for endpoint management products.

Own the design and implementation of native iOS and Android SDKs supporting mobile device intelligence and fraud detection. Investigate complex systems-level engineering problems, evaluate platform behavior and technical tradeoffs, collaborate with Product, Engineering, Data Science, Fraud Intelligence, and Sales, and establish SentiLink’s mobile engineering capabilities.

Manages the Marketplace Performance software engineering team, setting technical strategy and delivering business-critical backend and consumer marketplace systems. Partners with product, design, analytics, revenue, and merchant teams; oversees system reliability, monitoring, testing, on-call operations, and technical standards. Develops engineering talent, drives quality and ownership, and contributes to Affirm’s ads platform and marketplace monetization initiatives.

Lead backend engineering strategy for Affirm’s international Identity team. Design and launch highly available distributed systems supporting KYC, user lifecycle management, and identity decisioning. Drive technical planning, cross-functional collaboration, operational excellence, monitoring, testing, and on-call readiness. Establish engineering quality standards, influence architecture, mentor team members, and deliver scalable systems using Python or Kotlin, AWS, MySQL, Spark, and Kubernetes.

Senior Software Engineer responsible for designing, developing, testing, and releasing scalable full-stack features for Huntress’s Core Platform. The role owns complex projects end to end across frontend, backend, databases, and infrastructure; promotes code quality through testing, reviews, and pairing; breaks down epics into milestones; contributes technical solutions; and mentors engineers. The position requires extensive Ruby on Rails and full-stack experience, plus familiarity with Linux infrastructure, databases, external APIs, Agile practices, and responsible AI-assisted development.

Lead the design, development, and delivery of scalable payroll onboarding software. Drive technically complex initiatives, influence architecture and roadmaps, collaborate across product, design, and engineering, improve reliability, promote coding best practices, mentor engineers, and use AI tools to enhance development productivity.