Top Remote Software Engineer Jobs in Washington DC,

Provides software engineering, database development, systems integration, architecture analysis, and testing support for VA healthcare applications. Develops Python scripts and websites, works with Oracle and SQL Server databases, evaluates technology solutions, defines architecture requirements, performs risk assessments, and establishes testing environments. Produces technical reports, maintains architecture artifacts, collaborates with VA stakeholders, and supports integration across applications, databases, and external systems. Requires eligibility to obtain a government security clearance.

Design, build, and maintain scalable backend services, APIs, databases, data flows, and infrastructure. Lead complex features from design through deployment while improving performance, observability, security, reliability, and testing. Integrate third-party systems, support cloud infrastructure and CI/CD practices, and provide technical mentorship and guidance to engineers.

Develop cloud-native B2B SaaS platform services and user interfaces using C#, .NET, React, databases, and microservices. Responsibilities include architecture and design, hands-on feature development, code reviews, API and third-party integrations, technical documentation, debugging, proof-of-concepts, security and compliance implementation, and technical support. Collaborate within agile scrum teams and with product stakeholders to deliver scalable, secure, maintainable enterprise solutions.

Provides application development, configuration, troubleshooting, documentation, testing, and administration across enterprise and SaaS platforms. Works with analysts and business users to gather requirements, automate workflows, support change control, and maintain custom processes. Develops solutions using Microsoft, Atlassian, Oracle, Dynamics, and data movement platforms, while supporting compliance, after-hours assistance, and backup administration.

Develop scalable, secure, performant web applications and data pipelines for healthcare technology. Partner with engineering, product, and business stakeholders on technical roadmaps, use Agile practices, improve observability and reliability, and mentor junior engineers through coaching and code reviews. Responsibilities include database querying, technical decision-making, API development, data ingestion, cloud technologies, containerization, CI/CD, and handling sensitive data.

Design, develop, test, and optimize safe, scalable real-time software for production autonomous vehicle systems. Architect continuous learning infrastructure for ML model deployment and monitoring, analyze algorithms, and collaborate with embedded, platform, AI, sensor, and compute teams. Support perception, prediction, and planning integration while contributing to highway and urban autonomous driving capabilities.

Designs, develops, and maintains .NET backend services and ASP.NET Core APIs supporting edge gateways and IoT devices. Builds applications communicating with firmware over TCP, WiFi, and offline-tolerant architectures. Responsibilities include writing tested code, conducting reviews, troubleshooting distributed systems, documenting APIs, collaborating cross-functionally, participating in Agile delivery, improving CI/CD and DevSecOps practices, and evaluating modern .NET tools and patterns.

Build and own production software systems spanning embedded systems, real-time control, cloud services, and data pipelines. Responsibilities include architecture, coding, testing, reliability engineering, observability, incident response, technical design reviews, cross-functional hardware collaboration, hiring, and mentoring. The role requires strong systems fundamentals, distributed systems experience, debugging ability, and proficiency in at least one major programming language.

Manage and develop an engineering team while owning delivery, hiring, performance, technical judgment, and escalation response. Stay hands-on with coding and architecture, use coding agents effectively, improve engineering processes, and help engineers build stronger skills in scoping, estimation, decision-making, and ownership. Balance roadmap priorities with customer commitments and turn recurring issues into lasting product improvements across HumanSignal’s AI data and annotation platforms.

Develop and maintain web and AI-based enterprise applications through design, coding, testing, debugging, documentation, and code reviews. Integrate AI-assisted and agentic development tools into engineering workflows, manage context and harness engineering, and mentor teammates on responsible AI use. Collaborate across teams, lead projects and design efforts, improve processes and technology choices, and build secure, scalable services using modern backend stacks, REST APIs, databases, cloud infrastructure, and CI practices.