Top Remote Software Engineer Jobs in Hampton, VA

Lead backend engineering modernization efforts by designing scalable microservices and REST APIs, migrating systems to cloud architectures, optimizing databases, maintaining CI/CD pipelines, and ensuring system security, availability, and reliability. Mentor developers, guide technical strategy, collaborate cross-functionally, and support infrastructure and domain management. The role requires strong C# and .NET expertise, cloud experience, software architecture knowledge, and backend development leadership.

Build and ship full-stack web and mobile experiences across Affirm’s consumer products. Break down projects, collaborate with product, design, and analytics teams, develop scalable APIs, write well-tested code, monitor service health, participate in on-call support, review code, and contribute to engineering growth and interviewing.

Develop cloud security platform and product services using Golang and Python in a high-traffic environment. Own features from requirements through release, build modular infrastructure, integrate components, solve technical challenges, and collaborate with cloud, product, data science, and DevOps teams. The role also involves designing threat detection solutions, working with distributed systems and NoSQL databases, mentoring junior engineers, and promoting engineering best practices.

Senior full-stack engineer responsible for designing, building, testing, deploying, and supporting scalable lead capture, routing, tracking, and advisor-facing platform features. The role is approximately 70% frontend and 30% backend, using NestJS, Node.js, React, AWS, databases, event-driven architectures, CI/CD, automated testing, analytics, observability, and LLM-backed functionality. Responsibilities include architecture, production troubleshooting, performance optimization, technical planning, code reviews, documentation, and mentoring.

Develop and maintain cloud-based healthcare revenue-cycle software, build new features, modernize applications, perform code reviews and automated testing, address security vulnerabilities, troubleshoot production issues, and improve system performance. Collaborate with developers, product owners, support teams, and project leadership while applying Agile, CI/CD, TDD, and software development best practices.

Lead fraud decisioning engineering initiatives by architecting, building, launching, and maintaining complex backend systems. Drive cross-functional projects from definition through monitoring, write high-quality and resilient code, review technical work, mentor engineers, collaborate with Product, ML, Analytics, and Business teams, and contribute to hiring and interview design.

Provides technical leadership and hands-on engineering for Entellitrak-based Defense Health IT systems. Develops and integrates Java/JEE components, interfaces, APIs, database schemas, and web services; troubleshoots production issues; supports testing, releases, deployments, and documentation. Maintains Microsoft SQL Server environments and ensures compliance with DoD cybersecurity, configuration-management, RMF, STIG, NIST, and testing requirements. Supports Agile delivery, authentication modernization, vulnerability remediation, incident response, and occasional after-hours production operations.

Build and ship full-stack fulfillment features covering refunds, replacements, reverse logistics, and servicing. Own features from design through deployment, release, and monitoring while developing scalable event-driven and AI-native applications. Build single-page applications, collaborate with designers and cross-functional teams, apply sound API and data modeling practices, and deliver AI/agentic features safely in production. Identify technical investments, communicate tradeoffs, and work independently through ambiguous problems.

Provides technical leadership for architecture and evolution of large-scale distributed data platforms supporting Azure network telemetry. Designs streaming and batch systems, establishes reusable engineering patterns, drives cross-team technical strategy, and owns capabilities from design through production operations. Ensures scalability, reliability, security, performance, data quality, and operational excellence while mentoring engineers and influencing technical leaders. The role also involves architectural reviews, dependency management, risk reduction, and applying AI or machine learning approaches to operational systems.

Designs and implements compiler, runtime, and system software for Microsoft AI accelerator devices. Responsibilities include transforming code through LLVM IR, developing JIT compilation and dynamic code-generation features, deploying application code, and collaborating with hardware architects and ML developers. The role requires hands-on C/C++ and Python development, optimized systems-level programming, Unix-like platforms, and compiler framework experience.

Designs and develops software to automate onboarding, validation, management, tracking, and lifecycle operations for new hardware deployed in Microsoft datacenters. Responsibilities include requirements analysis, system design, coding, debugging, optimization, reliability engineering, monitoring, on-call support, and incident response. The role collaborates with Azure teams and stakeholders while improving scalability, security, availability, observability, and performance across cloud and distributed systems.

Leads architecture and production delivery of a near-real-time observability platform for large-scale AI supercomputers. Responsibilities include telemetry ingestion, processing, storage, querying, topology and health modeling, 1P/3P data convergence, AI-assisted anomaly detection, technician dashboards, repair validation, security, reliability, cross-team technical leadership, and mentoring.

Supports software engineering teams by designing, coding, debugging, testing, and troubleshooting applications and components. The intern contributes to architecture discussions, researches emerging technologies, supports version control and deployment, and collaborates with senior developers and mentors. Projects may involve artificial intelligence, cloud technologies, data science, scripting, forensics, signals processing, or vulnerability research.

Develop and maintain high-volume, low-latency Java applications across the full software development lifecycle. Design, test, debug, and analyze software; resolve technical issues; identify infrastructure improvements; and contribute to architectural reviews. The role requires cloud development experience, clean coding and test-driven development practices, strong communication with cross-functional partners, and the ability to align technical work with business objectives.

Develop and maintain software integrations connecting Cribl’s stream processing engine with systems such as Splunk, Elasticsearch, Kafka, and cloud storage platforms. Research third-party technologies, build robust Node.js and TypeScript code, create automated and integration tests, and collaborate with engineering, product, design, and business teams. Participate in code reviews, documentation, customer support, and a 24/7 on-call rotation.

Leads full-cycle technical implementations of a cloud-native digital banking platform, including requirements discovery, configuration, custom development, integrations, testing, data migration, environment management, deployment, and production support. Serves as the primary technical client contact, translates business needs into solutions, troubleshoots technical issues, coordinates cross-functional delivery, and improves implementation processes, documentation, tooling, and reusable components.

Implements and configures clients on Lumin Digital’s digital banking platform from kickoff through production launch. Responsibilities include platform customization using SDK tools, data conversion and validation, troubleshooting, production support, cross-functional collaboration, documentation, and process improvement. The role requires software engineering experience, SQL and relational database skills, cloud-native technology familiarity, and the ability to manage multiple client implementations.

Develop and integrate software, algorithms, and data-processing pipelines for remote sensing, SAR, RF, radar, and geospatial systems. Responsibilities include architecture, backend and API development, workflow orchestration, sensor-data analysis, system integration, testing, optimization, deployment, and technical documentation. Collaborate across software, systems, data science, and intelligence disciplines while providing technical leadership on complex projects.

Build and maintain third-party integrations for HRIS, payroll, ATS, notification, and business intelligence platforms. Develop configuration-driven integration systems, APIs, data pipelines, AI features, developer tooling, monitoring, and alerting. Own the full development lifecycle, including research, implementation, testing, deployment, troubleshooting, and maintenance. Collaborate with product, customer success, external partners, and engineering teams to improve reliability and customer impact.

Build and scale SmartAsset’s web platform and content management systems across front-end and back-end services. Collaborate with product teams, stakeholders, senior engineers, and architects in an Agile Scrum environment. Contribute to technical design, architecture, roadmap execution, process improvement, risk mitigation, mentoring, and reliable operation of remote web products.

Leads a software support team responsible for production reliability, defect triage, code maintenance, deployments, vulnerability remediation, testing, and operational response. Develops and reviews code, coordinates Agile delivery, monitors production concerns, communicates risks, and partners with engineering, infrastructure, IT, QA, product, and customer experience teams to maintain secure, supportable digital learning applications.

Build and enhance a real-time LLM-powered healthcare platform across the stack. Develop features including onboarding, note customization, and in-the-moment clinical insights. Collaborate with product, design, clinical experts, and go-to-market teams to deliver scalable AI-first applications. Work directly with healthcare providers and contribute to robust engineering practices in a fast-paced startup environment.

Design, develop, and maintain scalable backend services and APIs (Node.js, Firebase). Optimize performance, ensure code quality via reviews and unit tests, debug and upgrade systems, and contribute to frontend work as needed. Stay current on backend and Gen AI integrations and collaborate across the team.

Develop and improve core software services supporting customer intake, application screening, and information dissemination. Design distributed, microservice-based systems; identify bottlenecks; improve reliability, scalability, and business logic; and contribute to modernization and architectural decisions. Work independently across the stack, communicate technical trade-offs, mentor junior developers, and use AI and automation tools to improve engineering outcomes.

Design and lead development of high-performance networking infrastructure for large-scale AI training and inference in Azure. Architect low-latency, low-jitter communication frameworks, optimize distributed systems, benchmark scalability, resolve complex networking issues, and improve reliability, observability, and performance. Mentor engineers, create technical designs, manage dependencies, and participate in on-call operations for critical services.