Top Senior Level Software Engineer Jobs in Washington DC,

The Sr. Headless Engineer will develop and maintain headless e-commerce architectures, managing multiple sites and optimizing user experience through efficient caching and routing. The role involves collaboration on data management and backend aspects within dynamic teams.

As a Senior Full Stack Developer at PVM, Inc., you will design, develop, and maintain innovative technical solutions for public health and environmental initiatives. Your role includes collaborating with teams to integrate front-end and back-end systems, optimizing database queries, and managing cloud-based applications using AWS. You will also mentor team members and participate in code reviews.

The Principal Developer will be responsible for end-to-end development of SDKs and tools, ensuring high code quality, collaborating with cross-functional teams, and driving continuous improvement in codebase and processes. This role emphasizes system reliability, technical innovation, and quality ownership through best practices and performance monitoring.

Responsible for developing multiple microservices for a SaaS security solution and leading projects within Comcast Technology Solutions.

The Senior Software Engineer, C++ will design, develop, and test software systems focusing on database management and security measures. Responsibilities include project management, approving database modifications, and setting development standards. Candidates should possess strong coding skills, particularly in C/C++, and knowledge of software development life cycle.

As a Senior Full Stack Software Engineer, you'll own product features from inception to deployment, focusing primarily on backend development while collaborating closely with Product Managers and Designers to enhance user experiences. You'll ensure technical standards are met, support team growth, and help maintain a clean and scalable codebase.

The Senior Staff AI Scientist will collaborate with subject matter experts to develop AI solutions, oversee data management, and mentor Data Scientists. Responsibilities include designing and deploying advanced AI solutions, ensuring high-quality data access, and fostering a culture of continuous learning within the team.