Top Senior Level Software Engineer Jobs in Charlotte, NC

Design and develop scalable software-defined networking automation platforms, RESTful services, data-driven tooling, and observability capabilities. Build distributed and event-driven systems, collaborate across engineering and infrastructure teams, establish standards for security, reliability, and performance, and lead complex cross-system initiatives. The role also drives AI-enabled solutions, technical decisions, code quality, automation, and continuous engineering improvement in a hybrid, non-telecommuting environment.

Design, develop, and operate Lowe’s scalable Search Platform using OpenSearch and Elasticsearch. Build cloud-native services, REST APIs, and batch or near real-time data ingestion and ETL pipelines on Google Cloud. Improve indexing, search performance, reliability, and scalability while implementing monitoring, automation, and CI/CD. Troubleshoot production issues, contribute to architecture and code reviews, mentor engineers, and collaborate with platform and product teams.

Leads custom application development, architecture, testing, modernization, and delivery across cloud-native and on-premise environments. Translates business requirements into scalable technical solutions, coordinates software planning and releases, reviews code, applies CI/CD and automated testing, advises clients on technology decisions, coaches engineers, and advances AI-enabled engineering practices.

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.

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.

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.

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.

Designs, develops, tests, and maintains software, APIs, integrations, and automation for Managed Services applications and platforms. Builds Python, Ansible, and Go solutions; supports enterprise application lifecycles; troubleshoots distributed systems; develops CI/CD pipelines; and improves operational efficiency. Provides technical leadership through architecture and code reviews, engineering standards, mentoring, documentation, and cross-functional collaboration with SRE, infrastructure, security, operations, and business teams.

Lead a platform configuration and implementation engineering team, owning technical direction, delivery commitments, architecture, system reliability, hiring, and engineer development. Collaborate across Product, Delivery, Underwriting, Compliance, and peer engineering teams. Guide distributed systems and microservices development, promote configuration-driven solutions, adopt AI development tooling, monitor team and system metrics, and contribute hands-on to design and code reviews.