Top Senior Level Software Engineer Jobs in Charlotte, NC

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.

Lead enterprise network automation and software engineering strategy, advise leadership, resolve complex technical challenges, and design scalable long-term solutions. Develop network automation using programming and scripting technologies, translate business objectives into engineering solutions, recommend innovations, and collaborate across the enterprise. The role also emphasizes technical documentation, information security, risk management, strategic planning, and leadership.

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 hands-on technical execution across cloud-native development and software modernization projects, from prototyping through production. Designs full-stack solutions, translates client requirements into specifications, writes code, manages scope and milestones, removes delivery blockers, and develops reusable engineering practices. Requires cloud expertise, programming proficiency, legacy modernization, containerization, microservices, client communication, Agile methods, and technical leadership. AI-assisted coding tools are encouraged to improve developer productivity and quality.

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.

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, implement, and optimize MongoDB database integrations, Change Data Capture and streaming capabilities, and observability systems. Develop high-performance C++ services, contribute to query engine and distributed systems architecture, lead projects from design through production support, and collaborate with product and engineering teams on technical roadmaps.

Leads end-to-end cloud-native software delivery, from prototypes through production. Designs and develops full-stack solutions, modernizes legacy applications into microservices, works directly with clients, defines scope and milestones, removes blockers, contributes code, establishes reusable engineering practices, and applies AI-assisted coding tools to improve delivery velocity and quality.

Own post-sale technical deployments for enterprise customers, configuring monitors, alerts, and integrations in Snowflake and Databricks environments. Write production Python, SQL, and API integrations, drive customer adoption and measurable value, expand usage across teams and use cases, and provide feedback to Product and Engineering. Help establish the forward-deployed engineering playbook while advising data engineering teams and executives.