Top Software Engineer Jobs in Washington DC,

Develop and maintain C#/.NET applications throughout the software development lifecycle, including requirements analysis, architecture, coding, testing, debugging, integration, and configuration. Collaborate with clients and team members to prioritize development backlogs and plan releases. Build reliable, reusable code, analyze system requirements, and support applications using .NET technologies, SQL, APIs, JavaScript, and related systems.

Designs, develops, and supports scalable Salesforce Sales Cloud solutions for sales, operations, and customer success teams. Responsibilities include Apex, LWC, Flow, integrations, customer data management, AI-driven automation, CI/CD, release management, production troubleshooting, and technical leadership. The role requires deep Sales Cloud expertise, API integration experience, Copado, Git, SFDX, and advanced Salesforce automation skills.

Develop and maintain production numerical software in Python for electromagnetic sensing systems. Architect APIs and integrations, optimize signal-processing code through vectorization, JIT, GPU acceleration, or compiled bindings, and establish testing and CI practices. Partner with signal-processing engineers to productionize algorithms from research and MATLAB prototypes. The role requires on-site work in Washington, D.C., periodic travel up to 30%, U.S. citizenship, and eligibility for a security clearance.

Build and maintain accessible, reusable React Native and web components for Rocket Money’s design system. Collaborate with designers and engineers on UI primitives, tokens, patterns, documentation, tooling, motion, and interaction quality. Improve accessibility, testing, adoption, migration support, and developer experience through reliable shared infrastructure, Storybook examples, technical documentation, and code reviews.

Provides organization-level technical leadership while remaining a hands-on software engineer. Owns cross-team architecture, engineering standards, technical strategy, mentorship, incident response, reliability, and production delivery. Designs scalable, secure, highly available systems and influences teams through code, RFCs, architecture reviews, and pairing. Requires deep backend or frontend expertise, full-stack reasoning, strong testing and CI/CD practices, and 8+ years of professional software engineering experience.

Design, maintain, and troubleshoot Workday integrations across Financials, HCM, Payroll, Planning, and related systems. Build integrations using Workday Studio, Orchestrate, connectors, APIs, SFTP, XML, and transformation technologies. Resolve production incidents, validate data and reports, support security and business processes, and improve reliability and monitoring. Coordinate migrations, testing, releases, deployments, documentation, and ITIL/ITSM processes while partnering with business, technical, vendor, and implementation teams.

Build and operate large-scale audio data pipelines for AI model training. The role involves discovering data sources, developing reliable data-processing systems, optimizing quality, throughput, and cost, and collaborating with AI scientists. The engineer will own projects from discovery through implementation and ongoing improvement, using strong backend engineering skills in Python, Bash, and Linux environments.

Lead development of enterprise-grade full-stack applications using React, modern backend frameworks, cloud architectures, and secure public-facing systems. Use AI coding tools and agentic workflows to accelerate prototyping and production delivery. Partner with stakeholders, establish AI-first engineering practices, and ensure application security, performance, reliability, and compliance for sensitive financial and customer data.

Lead and scale engineering across a 100+ person federal digital modernization portfolio. Establish technical standards, guide talent and career development, support technical leads, drive architecture and modernization strategy, and improve tooling and delivery. Partner with program leaders and government clients, contribute to proposals and capture efforts, and provide technical thought leadership across AI/ML, cloud engineering, Agile delivery, and DevSecOps.

The Principal Engineer will lead technical initiatives in AI-driven tax software, mentor engineers, enforce technical standards, and contribute to architectural design and product innovation.