Top Remote Software Engineer Jobs in Washington DC,

Design, build, test, deploy, and support Salesforce applications and integrations. Develop Apex, LWC, Flow solutions, REST APIs, event-driven integrations, and secure data workflows. Ensure bulk processing, governor-limit compliance, automated testing, retries, idempotency, and failure recovery. Manage Git-based CI/CD deployments, troubleshoot production issues, review code, and collaborate with administrators, analysts, data engineers, and product teams.

Design, develop, test, troubleshoot, and support high-volume software applications in an Agile environment. Collaborate with architects, product partners, customers, and engineers throughout the software development lifecycle. Participate in design and code reviews, automated testing, production monitoring, security, observability, and continuous improvement. Use approved AI-assisted development tools responsibly across coding, testing, debugging, analysis, and documentation while ensuring software quality, security, performance, and maintainability.

Lead the architecture and implementation of high-performance, reliable core services operating at massive scale. Design synchronous and asynchronous APIs, database schemas, and distributed systems; conduct benchmarking, profiling, monitoring, and optimization; participate in reviews and on-call rotations; resolve production issues; and drive independent experiments and solutions.

Build and support reliable dashboards for AI infrastructure and financial models, including TCO, tokenomics, and compute capital models. Responsibilities include implementing features, loading model releases, validating data, developing accuracy checks, collaborating with analysts, creating charts and explanations, answering client questions, and contributing to research newsletters. The role requires strong Python or TypeScript skills, software engineering experience, numerical accuracy, and effective use of AI coding agents.

Design, build, and operate scalable backend services for payments, cards, spend management, and compliance. Develop production-quality services and APIs, optimize databases, integrate AI and third-party APIs, and implement secure event-driven architectures. Own features from design through deployment and monitoring, contribute to reliability and CI/CD improvements, participate in on-call rotations, and collaborate with globally distributed engineering, product, compliance, and data teams.

Own technical evaluations, deployments, and production integrations for major government and enterprise customers. Build Python, SQL, agents, tools, and REST integrations within customer environments; lead proofs of concept, deployments, executive briefings, and technical account relationships. Triage bespoke versus reusable capabilities, influence the product roadmap, and review other engineers’ work. The role requires strong cloud, containerization, data, communication, and ambiguous problem-solving skills.

Build and operate production custody systems: signing service, key management, chain integrations, and transaction pipelines. Own end-to-end subsystems, integrate new chains, collaborate with cryptography on threshold signing and key recovery, write post-mortems, and produce clear async design docs and PRs.

The Senior Software Engineer will design and implement systems for AI integration, build scalable backend services, and mentor team members, ensuring high-quality systems that meet user needs.

Own the Dynamics 365 CRM and Dataverse platform, including architecture, configuration, security, customization, deployments, integrations, data quality, and support. Design Power Apps, Power Automate flows, and Power BI reports; lead upgrades, migrations, UAT, and releases; evaluate Microsoft capabilities; translate business needs into solutions; and mentor analysts and project team members.

Design and maintain scalable full-stack software solutions using Python and Pandas. Develop data infrastructure, integrate technologies, optimize application performance, and collaborate cross-functionally to deliver reliable products. The role requires strong AWS and scalable architecture expertise, with a focus on continuous improvement and customer impact.