Top Remote Full-Stack Engineer Jobs

Design, develop, and maintain Java enterprise applications, scalable microservices, REST APIs, and modern Angular or React interfaces. Collaborate with stakeholders, participate in Agile ceremonies and code reviews, support production deployments, resolve issues, and contribute to high-performance technical solutions.

Build and own customer-facing FinTech features across frontend and backend, using React, TypeScript, and Python. Partner with product and design to shape ambiguous requirements, develop APIs and data models, launch polished experiences, and iterate using feature flags, instrumentation, experiments, and production data. Maintain high standards for performance, accessibility, reliability, and data accuracy while using AI development tools to accelerate delivery.

Develop and maintain Java applications, configure and develop Salesforce solutions, and collaborate across AWS, database, and application layers. Participate in agile sprint planning, testing, troubleshooting, Git-based peer reviews, and technical documentation. The role supports a federal FHA program in a fully remote environment and requires eligibility for a Public Trust background investigation.

Designs, develops, integrates, tests, documents, and maintains scalable cloud-native applications and APIs using Java, JEE, AWS, Docker, and Kubernetes. Collaborates within Agile and DevOps teams, contributes to code reviews and technical planning, troubleshoots production issues, develops automated delivery pipelines, and supports enterprise database integrations. The role also maintains legacy Ruby services, develops documentation, and requires the ability to obtain and maintain Public Trust clearance.

Design, develop, integrate, test, document, and support Java-based microservices and full-stack applications in AWS cloud environments. Collaborate with technical and business teams using Agile and DevOps practices, implement secure and scalable solutions, participate in code reviews, troubleshoot applications, improve development processes, and mentor junior developers. The role also involves API integration, databases, messaging systems, CI/CD, automated testing, and maintaining application security.

Own full-stack product features from technical scoping through deployment and post-launch iteration. Design schemas, APIs, and business logic; build user-facing applications across frontend, backend, and databases; collaborate with ML researchers, product, design, and engineering; incorporate user feedback; and improve development, testing, and deployment practices.

Leads client-facing AI engagements by architecting and delivering production-ready full-stack applications. Builds responsive frontends, backend APIs, data pipelines, RAG systems, vector database integrations, and multi-agent workflows. Deploys containerized solutions to cloud platforms, optimizes LLM performance and application reliability, translates business requirements into technical architectures, and owns delivery from scoping through deployment. Also contributes to shared platforms, documents best practices, and collaborates with engineering teams and enterprise stakeholders.

As a Fullstack Software Engineer, you'll design, develop, and maintain scalable frontend and backend systems while collaborating across teams.

Build frontend, backend, and occasional mobile features for creator sponsorships. Own projects autonomously from product research and concept through implementation and deployment, collaborating with designers, writers, support staff, leadership, and sponsorship partners. Work across TypeScript, Node.js, Express, React, and PostgreSQL while contributing to product direction and delivering high-quality production experiences.

Design and build core fullstack systems powering Surge’s AI platform. Own frontend product decisions, backend architecture, and high-impact workflows for data collection, labeling, and evaluation. Ship scalable, reliable, intuitive tools while making autonomous technical decisions, collaborating with engineering and machine learning leaders, and maintaining high standards for usability, performance, and maintainability.

Responsible for leading a team of engineers, supporting product development, identifying technical issues, and ensuring high-quality code delivery in backend systems at scale.

Develop and maintain scalable full-stack applications, REST APIs, microservices, and responsive user interfaces. Integrate internal and third-party systems for real-time data synchronization, optimize application performance, implement security controls, and troubleshoot production issues. Collaborate with analysts, quality engineers, program managers, and data science teams to deliver enterprise applications. Support code reviews, CI/CD, deployments, monitoring, and ongoing maintenance.

Build scalable backend-heavy services and applications using C# and .NET, while contributing to Angular and TypeScript UI development. Design and develop REST APIs and microservices, work with relational databases, implement automated testing and CI/CD, and ensure system security, scalability, and performance. Preferred work includes event-driven architectures, messaging systems, NoSQL databases, caching, search technologies, and mentoring engineers or leading technical initiatives.

Develop and maintain scalable, secure .NET and Angular web applications for a career and college planning SaaS platform. Collaborate with product managers, QA, and stakeholders to translate requirements into technical solutions, troubleshoot complex issues, optimize performance, and adopt relevant technologies. The role requires full-stack expertise across Angular, C#, ASP.NET, MVC, REST APIs, .NET Core, and SQL, along with strong communication and ownership in a remote environment.

Design and build backend systems for finance and accounting modules within an AI-native ERP platform. Responsibilities include modeling invoicing, payments, and financial reporting data; developing Python and FastAPI services with PostgreSQL; building integration APIs; aggregating operational and financial data; and owning greenfield features from design through deployment. The engineer will primarily own backend systems while contributing to React frontend development as needed.

Build and maintain front-end and back-end features, RESTful APIs, and services under senior-engineer guidance. Participate in agile ceremonies, code reviews, testing, debugging, and secure coding. Take ownership of scoped engineering tasks, communicate clearly, learn quickly, and progressively handle more complex client-facing software work across web, mobile, and AI-integrated projects.

Build and own end-to-end full-stack features across backend services and user-facing applications. Contribute to system design, reliability, performance, observability, and engineering practices while collaborating with product and design.

Hands-on senior full-stack engineer leading multiple projects to build and maintain React/Angular frontends and Node.js backends, integrate LLMs and AI/ML (LLM APIs, computer vision, vector search/RAG), manage cloud infrastructure (Azure/AWS), enforce AI-assisted development practices, conduct code reviews and mentoring, support production reliability and on-call incident response.

Own end-to-end features across Go backend services and React/TypeScript frontend applications. Design, develop, and debug high-load distributed systems, APIs, integrations, and event-driven services. Use AI coding agents as part of daily development, critically reviewing and verifying generated output. Contribute to architecture decisions, resolve complex production issues, and improve engineering practices for AI-assisted delivery.

Lead a four-week project to launch a production inventory table and artifact-detail experience for an AI security platform. Build frontend-heavy, data-dense workflows with large tables, filtering, paging, and resilient state management. Contribute across TypeScript, React, Next.js, Node.js, Postgres, REST APIs, and background jobs. Partner with technical and design leadership, review code, and potentially develop deduplication, reporting, and knowledge-graph features.

Lead architecture and full-stack development on a Microsoft/Azure platform. Design and implement scalable, secure cloud applications (C#, .NET Core, SQL, Angular), drive CI/CD and DevOps best practices, mentor engineers, enforce design patterns and testing standards, participate in architectural reviews, and support platform modernization and production reliability.

Design, build, test, deploy, and maintain cloud-based web applications and microservices. Ensure performance, reliability, and code quality while collaborating on new features, debugging, and optimizing systems. Use AI development tools daily, contribute to infrastructure as code, and promote maintainable architecture and documentation.

Leads architecture and hands-on development of a cloud-native AWS platform using React, TypeScript, and backend APIs. Establishes platform-wide engineering standards, designs integrations across domain services, drives scalability, security, observability, automated testing, and performance, and mentors engineers across multiple teams. The role also leads technical strategy, cross-team planning, code and design reviews, reliability initiatives, and communication with senior stakeholders.

Build and scale secure, cloud-native full-stack applications for federal missions using React, TypeScript, Node.js, Python, and AWS. Develop APIs, microservices, event-driven workflows, infrastructure as code, CI/CD pipelines, and containerized deployments. Apply AI-assisted development tools, improve application security and performance, and collaborate with customers, designers, product owners, and mission stakeholders. The role requires technical ownership, clean tested code, documentation, and eligibility for DHS Public Trust and TSA clearance.

Designs and maintains scalable backend services, APIs, data models, integrations, and database migrations using Go and PostgreSQL. Leads technical initiatives from discovery through release, troubleshoots production and performance issues, and ensures deployment quality. Collaborates across product, design, QA, and engineering while contributing to architecture, documentation, standards, testing, and maintainability. Mentors engineers and uses AI-assisted development tools to improve delivery.