Top Remote Software Engineer Jobs in Washington DC,

Develop and maintain scalable enterprise Java applications and Spring-based microservices. Responsibilities include hands-on coding, unit and system testing, debugging, technical documentation, performance optimization, troubleshooting distributed cloud environments, and adherence to software development and security standards. Collaborate with technical leads, architects, and cross-functional Agile teams to design and implement complex global applications.

Develop and maintain a cross-browser web extension using React, TypeScript, HTML, and CSS, integrating with REST-based microservices. Collaborate with product, UX, and engineering teams on architecture and technical solutions. Improve application performance, enforce coding and testing standards, troubleshoot complex issues, and contribute to documentation. Mentor junior and mid-level engineers through reviews and pair programming while staying current with frontend technologies and security best practices.

Own customer data integrations for hospital systems and suppliers. Lead technical discovery, design and operate production data pipelines, troubleshoot live integration issues, build reusable connectors, and document support processes. Partner with product and engineering teams to improve the platform while communicating risks and timelines to technical and non-technical stakeholders. The role requires strong Python and SQL skills, production integration experience, customer-facing communication, and comfort working in ambiguous environments.

Build and own full-stack features across consumer lending products, underwriting and loan systems, and internal sales and operations tools. Translate complex loan and insurance rules into clean, extensible software, collaborate with product and design, lead projects, coordinate stakeholders, and ship reliable production code in a remote, distributed team.

Build and maintain developer tools, SDKs, CLI, MCP interfaces, integrations, and supporting backend services. Collaborate on API contracts, compatibility, testing, releases, documentation, and shared tooling. Support developers through GitHub issues and pull requests while designing reliable systems with authentication, retries, idempotency, rate limits, monitoring, and error recovery.

Build and operate large-scale data pipelines processing terabytes of security intelligence on AWS. Develop Java software, integrate data sources, improve rating algorithms, and evolve cloud data warehouse infrastructure. Collaborate with data science, research, engineering, design, and product teams to deliver reliable cybersecurity insights. The role emphasizes scalable software development, data quality, continuous improvement, and strong communication.

Lead architecture and hands-on development of scalable backend systems and APIs supporting real-time applications at massive scale. Own the full engineering lifecycle, establish standards for reliability and testing, troubleshoot production issues, influence technical roadmaps, collaborate cross-functionally, and mentor engineers. The role requires deep backend development, distributed cloud systems, system design, automated testing, and technical leadership experience.

Design and implement Mojo language features, compiler optimizations, and multi-target compilation for CPUs, GPUs, and AI accelerators using MLIR and LLVM. Collaborate with kernel authors, hardware engineers, researchers, and the open-source community to improve language design, code generation, performance, developer experience, and the broader Mojo SDK.

Administer and modernize enterprise Microsoft SQL Server platforms supporting downtime-sensitive semiconductor and telecommunications manufacturing. Responsibilities include advanced T-SQL and SSIS development, performance tuning, backup and disaster recovery, high availability, security, automation, migrations, cloud adoption, capacity planning, incident response, and database architecture. The role provides technical leadership, mentoring, documentation, and cross-functional guidance in 24/7 production environments.

Build and own production entity-resolution capabilities, including blocking, candidate generation, pairwise scoring, clustering, threshold policies, deduplication, and known-entity checks. Develop provenance systems for traceable, explainable graph relationships and matching decisions. Evaluate matching performance, document implementation logic, and balance false merges against false splits. Work remotely with occasional travel while supporting government mission applications.