Top Software Engineer Jobs in Charlotte, NC

Troubleshoot complex multi-system issues, restore services, and prevent recurrence. Define SLIs and SLOs, improve telemetry, dashboards, and alerting, and drive reliability improvements. Develop runbooks, automation, and continuous improvement initiatives to reduce operational toil and production risk. Use authorized AI coding tools with peer review and testing, support rotational shifts and weekends, comply with financial-sector regulations, and operate securely in air-gapped and hardened environments.

Provides principal-level technical leadership for mobile architecture, strategy, and development across Android, iOS, and cross-platform applications. Designs scalable mobile-to-backend solutions using Kotlin Multiplatform, Server-Driven UI, microservices, and modern testing and deployment practices. Oversees reliability, performance monitoring, production troubleshooting, and secure software delivery while guiding engineering decisions and collaborating with product and business stakeholders.

Develop and maintain full-stack software using Java, Spring Boot, REST APIs, microservices, cloud platforms, and modern front-end technologies. Design, code, test, debug, document, and deploy scalable applications. Lead moderately complex technical initiatives, contribute to cloud and intelligent automation efforts, resolve technical challenges, guide junior staff, and collaborate with cross-functional teams on software delivery, testing, DevOps, and AI-driven engineering solutions.

Leads complex, enterprise-scale software engineering initiatives for payment technology. Designs, codes, tests, debugs, documents, and reviews Java Spring Boot microservices using REST, MongoDB, OpenShift, and Kubernetes. Establishes engineering standards, resolves complex technical issues, collaborates with technical stakeholders, mentors engineers, leads projects and teams, and supports scalable banking and payments solutions.

Design, develop, integrate and maintain ERP financial applications using Oracle and PL/SQL. Troubleshoot and optimize systems, ensure security and compliance, lead code reviews, estimate work, participate in Agile/Scrum, and mentor junior developers.

Leads Google Cloud-native engineering programs, overseeing application architecture, development, testing, modernization, and deployment. Directs multiple workstreams, shapes client roadmaps, advises on technical decisions, and develops generative AI solutions using Vertex AI, LLM APIs, LangChain, LangGraph, and retrieval-augmented generation. Builds executive client relationships, identifies business opportunities, governs LLMOps and quality practices, and coaches engineering, testing, and AI delivery teams.

Leads the engineering team building Circle’s customer onboarding and lifecycle management platform. Responsibilities include developing scalable onboarding automation, customer lifecycle capabilities, partner-facing APIs and SDKs, compliance tools, and product-specific verification workflows. The role owns architecture, reliability, security, operational excellence, cross-functional delivery, hiring, coaching, and development of senior and staff engineers across risk, compliance, fraud, product, and engineering teams.

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.

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, build, and operate foundational developer infrastructure across CI, build systems, deployment orchestration, and test platforms. Improve build speed, deployment safety, and test reliability while owning services end to end, including SLOs, observability, and on-call responsibilities. Partner with engineering teams to address platform pain points and lead cross-cutting technical projects through production.

Build and scale MongoDB Atlas Agent Engine, including its developer CLI, SDKs, runtime, memory, retrieval, identity, governance, and distributed systems layers. Design well-tested, reliable, high-performance software; contribute to architecture, code reviews, developer experience, and engineering practices. Collaborate across research, product, design, and engineering teams, own complex projects, mentor engineers, and help evolve the platform for production-scale AI agents.