Top Remote Software Engineer Jobs in Washington DC,

Lead the design and development of secure, scalable payments platform services, including payment orchestration, fraud and risk capabilities, multi-provider integrations, bill payment products, and high-throughput backend systems. The role requires hands-on production coding, architectural leadership, mentoring, cross-functional collaboration, and advancing AI-enabled engineering workflows.

Build and lead GM’s Core OS engineering organization for vehicle compute platforms. Define the team charter, hire engineers, establish architecture, and deliver production software supporting hypervisors, virtualization, containers, secure boot, safety monitoring, and Linux, Android, and QNX guest operating systems. Own roadmaps, KPIs, cross-functional integration, vendor partnerships, risk management, and vehicle-program milestones while ensuring scalable, reliable, and updateable platform software.

Develop and maintain scalable, resilient web applications using React, Java, and PostgreSQL. Lead significant engineering projects, balance infrastructure investments with pragmatic solutions, collaborate with technical and non-technical stakeholders, mentor engineers, and support reliable production systems through possible on-call participation.

Build responsive Web3 applications, web SDKs, developer tools, reusable frontend components, and internal Customer Success tools. Collaborate with Product, Design, and Engineering to create scalable, accessible user experiences. Contribute to code and design reviews, automated testing, continuous delivery, coding standards, and AI-assisted development practices.

Deploy and integrate Shield AIs Hivemind autonomy software with customers worldwide. Provide on-site technical support, training, debugging, and documentation. Collaborate with sales and product engineering to support pre- and post-sales activities and improve autonomy products.

Lead hands-on implementation of Celonis solutions for enterprise (federal) customers. Direct AI deployment agents to build data models, analyses, KPIs and operational solutions; validate AI outputs; run discovery and value workshops; ensure data connectivity; drive rollout, adoption, and handover; and develop domain-specific solution patterns to quantify business impact and sustainably scale process improvements.

Develop and maintain scalable Java and Spring Boot REST services, APIs, and microservices for mission-critical geospatial systems. Support containerization, orchestration, CI/CD, DevOps automation, testing, infrastructure deployment, data platforms, and third-party integrations. Contribute to architecture, performance optimization, troubleshooting, documentation, stakeholder demos, and Agile delivery. The role requires onsite work in Herndon, Virginia and collaboration on national security missions.

Build and own full-stack services and APIs enabling businesses to offer and manage 401(k) plans. Design scalable features, evolve system architecture, establish engineering best practices, collaborate with product, design, compliance, and operations, debug production issues, and improve reliability, observability, and operational tooling. The role requires end-to-end system ownership, production support, and cross-team technical influence.

Build and maintain MongoDB’s distributed database infrastructure for cluster scalability. Design data partitioning, data movement, dynamic scaling, workload execution, and resilient distributed protocols. Solve complex performance and low-latency systems problems, contribute production-quality C++ code, participate in design and code reviews, lead new feature development, and mentor engineers.

Develop and support software, automation tools, dashboards, and alarms for cloud infrastructure, cost attribution, and cloud efficiency. Collaborate with cross-functional teams and senior engineers to design reliable systems, APIs, databases, tests, and AI agents. Contribute to architecture and automation strategies while maintaining strong security, communication, and delivery practices.