Top Remote Software Engineer Jobs in Baltimore, MD

As a Community Engineer, you will develop AI-powered tools and maintain community operations, engaging with diverse software engineers and delivering projects independently.

Lead development and maintenance of cross-platform mobile apps using Flutter/Dart across iOS, Android, and web. Implement scalable architecture, integrate GraphQL/backends, support native build and release pipelines, collaborate with product/design/AI teams, apply AI-assisted coding responsibly, troubleshoot performance and stability issues, and contribute to testing, CI/CD, and documentation.

Develop, test, and maintain software components; participate in requirements analysis, design, architecture, integration, and project activities; diagnose and fix bugs; collaborate with architects, designers, and product managers; build scalable REST APIs and work with databases, search technologies, and modern front-end frameworks.

Build and maintain full-stack features for a React/TypeScript frontend and NestJS/TypeScript backend, integrate LLM-powered conversational agents, design APIs, auth (SSO/SAML), real-time updates, background processing (AWS SQS), database schemas (PostgreSQL/Sequelize), API docs (Swagger), and tests (Jest/pytest). Collaborate on architecture, code review, and production support.

Senior backend-focused engineer to provide technical leadership across backend, APIs, and data pipelines. Collaborate with product, design, and stakeholders, author documentation, and drive engineering best practices on a distributed remote team building scalable energy software.

Design and build full‑stack systems solving complex, regulated business problems. Own features end‑to‑end, collaborate with product and operations, incorporate AI agents, ensure quality, scale, and measurable outcomes, and engage directly with users and stakeholders.

The role involves building AI-native applications and agents in a customer-embedded setting, focusing on rapid prototyping, full-stack engineering, and aligning solutions with business outcomes. It requires strong technical and communication skills for engaging with stakeholders to identify AI use cases and deliver measurable ROI.

Lead a team of software engineers to deliver backend services, platform components, automation, observability, and AI-assisted tooling. Own end-to-end delivery, architecture, testing, and operational readiness. Drive engineering standards, cross-functional collaboration, hiring, coaching, and continuous improvement with emphasis on security, reliability, and scalable platform patterns.

Lead porting and performance analysis of diverse HPC applications on novel architectures. Profile node- and scale-level bottlenecks, design algorithmic/software solutions, translate application needs into software and hardware features, and develop performance models for future hardware.

Design, develop, test, and maintain cloud-native, scalable search and distributed system features. Contribute to architecture, ensure reliability, scalability, and security of global cloud infrastructure. Troubleshoot production issues, optimize performance, collaborate with product and UX, and mentor junior engineers.