Top Remote Senior Level Software Engineer Jobs in Washington DC,

The Senior Software Engineer leads software development, manages projects, mentors developers, and collaborates on software design and testing using Agile methodologies.

As a Senior Software Engineer, you will optimize and develop foundational services for Speechify, collaborating with product teams and enhancing user experience through efficient API design and system architecture.

The Senior Conversational AI Designer leads design efforts for voice and chat interfaces, applying human-centered design principles and collaborating across teams to drive innovative solutions for Allstate's AI systems.

The Software Engineer Associate Manager leads application management, supervises teams, shapes product architecture, and establishes technical practices to ensure successful outcomes.

Lead development of NetSuite SuiteApp solutions, mentor team members, manage projects, and improve efficiency through automation and best practices.

Design and build AI systems to streamline sales by integrating various data sources, enhancing data pipelines, and improving operational efficiency.

Manage and improve digital products as a technical lead, guiding implementation strategies and mentoring teams on complex projects.

As a Senior Full-Stack Software Engineer, you will design, develop, and maintain web applications, ensuring performance, security, and scalability while mentoring junior engineers and collaborating with cross-functional teams.

The ServiceNow Senior Developer is responsible for developing new applications on the ServiceNow platform, integrating with APIs, and maintaining ITSM applications. They must collaborate with teams, provide technical support, and communicate effectively with clients.

The Sr. Lead Backend and Web Application Developer will manage back end development, optimize web platforms, and lead regional teams, ensuring effective technical performance and adherence to web governance policies.

The Data Architect will design and maintain data infrastructure, focusing on data modeling, ETL processes, and ensuring data quality using Python and SQL.