Top Remote Software Engineer Jobs in Charlotte, NC

Lead complex engineering engagements, architect AI-driven systems, design application patterns, mentor teams, and act as a trusted technical advisor to clients.

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.

Lead the technical vision and architecture for backend systems supporting experimentation, personalization, analytics, and conversion optimization. Design and operate high-throughput distributed systems and APIs, build data infrastructure, and productionize AI/ML capabilities. Drive complex multi-team initiatives, influence engineering strategy, establish technical standards and operational excellence, and mentor senior engineers. Partner with product, data science, ML, and engineering teams to translate business needs into scalable solutions.

Partner with Account Executives to design and demo Webflow solutions, conduct discovery and technical validation, lead workshops and trials, build business cases, influence product direction, and support cross-functional initiatives. Travel up to 25% and complete an in-person onboarding in San Francisco.

Build and maintain full-stack software across data models, APIs, user interfaces, workflows, and production systems. Develop accessible, form-driven applications using TypeScript, Node.js, NestJS, React, and Next.js. Design transactional and flexible databases, implement asynchronous processing, and write unit, integration, and end-to-end tests. Participate in code reviews and technical design discussions while improving scalability, security, reliability, and WCAG compliance. Own features end to end with growing autonomy and collaborate with senior engineers and technical leadership.

Build and operate customer-facing applications and shared platform services using TypeScript, Node.js, React, and Next.js. Own API contracts, SDKs, data models, cloud delivery, observability, testing, and service adoption across engineering teams. Lead AI-assisted development practices, delivery automation, reliability improvements, technical documentation, design reviews, and mentorship. The role also involves evolving financial, authentication, workflow, and event-driven systems in a hands-on individual contributor capacity.

Leads a backend platform engineering team, overseeing hiring, coaching, delivery, roadmap planning, architecture, and cross-functional collaboration. Builds reusable services, APIs, tools, and self-service capabilities supporting multiple products. Drives scalability, reliability, developer experience, observability, security, automation, incident response, capacity planning, and operational excellence while contributing to technical decisions and troubleshooting.

Build SDKs, self-service apps, and reusable abstractions for Coinbase's data platform. Develop data integration and processing tools, enable observability and security (cataloging, lineage, access controls), and collaborate with analysts, data scientists, and engineers to scale and operationalize data pipelines and models.

Own performance optimization, reliability, observability, capacity modeling, and automated failover for Coinbase’s blockchain node infrastructure. Diagnose resource bottlenecks, reduce infrastructure costs, define SLOs and SLIs, support protocol upgrades, and improve node performance across distributed systems at scale. Collaborate with protocol integration, wallet, and indexer teams while applying backend programming and systems profiling expertise.

Lead Affirm’s Resilience Engineering team, defining strategy and building platforms for safe production load testing and chaos engineering. Manage engineers, establish safeguards such as isolation, approval workflows, rollback, observability, and auditability, and partner across infrastructure, security, and product teams to improve reliability. Drive adoption of resilience practices, identify distributed-system weaknesses, and guide monitoring, alerting, and incident response for production experiments.

The Staff Software Engineer will lead technical strategy, ensure system availability, and develop backend systems at scale, collaborating across teams to drive capacity modeling and operational quality.

Design, build, and operate scalable, secure data platform infrastructure for ingesting, processing, cataloging, and accessing petabytes of data. Improve Spark/Databricks reliability and developer experience, build ingestion/replication systems, develop internal libraries and tooling (Go/Python), and collaborate with cross-functional teams to support analytics, ML, and customer-facing data products.

Lead Salesforce and billing platform engineering with an emphasis on AI-driven automation. Build scalable Salesforce solutions (Apex, Flow, LWC), pilot LLM/agent workflows, modernize CI/CD and test automation, support Quote-to-Cash and billing processes, collaborate across product and finance, drive technical debt reduction, and mentor junior engineers.

Architect and deliver scalable, secure systems across teams; solve complex cross-team problems; lead large technical initiatives; evaluate emerging technologies; mentor engineers; align technical direction with product and business outcomes while balancing performance, maintainability, and cost.