Top Remote Software Engineer Jobs in Raleigh-Durham, NC

Design, build, and operate payment services for card processing, refunds, reconciliation, and processor integrations. Develop scalable Kotlin and Java Spring Boot APIs, optimize PostgreSQL schemas and SQL, and implement idempotency, retries, webhooks, audit trails, and reconciliation. Respond to payment incidents, conduct root cause analysis, collaborate cross-functionally, review architecture and code, and mentor engineers. The role requires strong distributed-systems, payments, PCI DSS, debugging, and production operations experience.

Lead hands-on technical delivery for a cross-functional product engineering pod. Design and implement Angular frontends, Python APIs, and cloud-native services while guiding engineers through architecture, code reviews, testing, releases, and production troubleshooting. Translate product requirements into maintainable designs and vertical slices, establish quality and security standards, manage technical debt, and collaborate with Product, QA, BA, and DevSecOps teams. Experience in regulated life sciences, clinical technology, and standards such as CDISC or USDM is preferred.

Build scalable data processing and exploration pipelines, ML infrastructure, and cloud-based applications. Write, test, instrument, and deploy software in Kubernetes environments while contributing to distributed systems and data-driven products. The role focuses on Python, big data technologies, containerization, and systems supporting marketplace intelligence.

Engineering Manager responsible for the health, delivery, people management, onboarding, staffing, and continuous improvement of a 6–8 person engineering pod. The role partners with Product and Technical Leads, manages execution and technical risk, supports hiring and growth, addresses performance issues, and maintains enough technical depth to evaluate software plans. The manager will work in an AI-native, remote-first environment building mortgage automation software.

The Protocol Engineer will develop and optimize core components of the Injective blockchain, focusing on decentralized order book, trade execution, and cross-functional collaboration.

Lead architecture and development of secure, high-scale Python and FastAPI payment infrastructure for AI-agent transactions. Design APIs for tokenization, mandates, authentication, attestation, and cryptogram workflows; own security, reliability, observability, testing, Kubernetes provisioning, and production operations. Drive technical initiatives, design reviews, and cross-functional collaboration with product, security, infrastructure, platform, and card-network partners while applying AI-assisted engineering practices.

Build and maintain full-stack web applications, APIs, backend services, integrations, and event-driven data pipelines. Collaborate on architecture, product requirements, code reviews, testing, troubleshooting, and engineering standards. Contribute to scalable, secure, reliable software while mentoring engineers and supporting development-process improvements.

Designs, develops, tests, and implements Guidewire solutions supporting insurance operations. Collaborates with business stakeholders, analysts, and developers to deliver high-quality implementations meeting business requirements. Requires expertise in Guidewire architecture, data models, APIs, integrations, web services, Java, SQL, and XML. Preferred experience includes Guidewire Cloud, reporting, insurance processes, Agile methodologies, certification, and DevOps tools.

Develop backend blockchain functionality for Cardax DEX on the Cardano blockchain. Write and maintain smart contracts in Plutarch and Haskell that define the constraints and conditions for decentralized token exchange without a central entity.

Build and maintain a React/TypeScript operations portal and Supabase/PostgreSQL backend for autonomous aircraft medical logistics. Improve aircraft allocation, mission generation, telemetry ingestion, live dashboards, reliability, testing, logging, and observability. Integrate Python services with ArduPilot aircraft and simulations while collaborating with autonomy and simulation engineers to mature real-flight and digital-twin systems.