Top Remote Software Engineer Jobs in Charlotte, NC

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.

Own complex software systems and critical workflows end-to-end while ensuring reliability, performance, security, and maintainability. Lead architectural decisions, mentor engineers, manage incident response, improve system health, and communicate effectively with technical and non-technical stakeholders. The role requires extensive Ruby on Rails, AWS or equivalent cloud infrastructure, Linux production operations, frontend development, relational databases, testing, CI/CD, and observability experience.

The Senior Full-Stack Engineer will manage client relationships, design integration solutions, and ensure seamless delivery and optimization of technical workflows, while leveraging AI for efficiency.

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.

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.

Build and maintain internal AI-powered tools and automations for sales, customer success, and revenue operations. Implement features, automate lead routing and pipeline workflows, troubleshoot integrations, monitor tools, fix bugs, and evaluate AI platforms. Collaborate with nontechnical stakeholders to gather requirements and deliver reliable, documented code using APIs, scripting languages, and database systems.

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.

Develop and launch reliable backend systems using Python or Kotlin, AWS, MySQL, and Kubernetes. Break projects into deliverable phases, collaborate with product, design, and analytics teams, monitor system metrics, support availability and on-call operations, debug code, conduct code reviews, and contribute to team growth and interviewing. The role requires 1.5+ years of software engineering experience and strong communication skills.

Leads software teams developing, integrating, deploying, and maintaining full-stack mission applications for DoD and intelligence customers. Builds prototypes, scales applications, develops responsive frontend features, integrates systems, collaborates with government operators, and conducts deployment and field testing in secure environments. The role requires customer relationship management, technical leadership, software engineering expertise, and active security clearance.

Lead a small, hands-on engineering team responsible for analytics infrastructure and member growth. Own technical strategy for ClickHouse-powered analytics, data visualizations, and LLM-enabled data experiences, while guiding onboarding and activation roadmaps. Write and review code, design experiments, partner with product and design, make architectural decisions, and hire, mentor, and develop engineers. The role requires strong web application experience, product judgment, communication skills, and expertise across Ruby on Rails, databases, ReactJS, and TypeScript.