Top Hybrid Software Engineer Jobs in Washington DC,

The Database Administrator manages complex database systems, conducts troubleshooting, enforces policies, mentors junior staff, and collaborates with IT teams.

The Staff Analytics Engineer will lead technical initiatives to design, implement data products, and guide cross-functional teams in developing scalable analytics solutions at Upside.

Oversee software engineering projects, lead large-scale distributed data processing systems, mentor junior staff, and drive project success.

Develop and deliver customer-facing UI and end-to-end features to accelerate user acquisition, engagement, and retention. Collaborate with product and design to define metrics, architect scalable frontend solutions, implement front-end and back-end components, and improve developer productivity, performance, and security across self-service properties.

The Head of Engineering will lead technical architecture, backend development, and system design for an AI agent platform while mentoring a distributed team.

The Senior Lead Engineer will lead a team to modernize legacy applications using Generative AI, mentor engineers, and drive technical decisions, ensuring scalable and reliable software architecture.

Seeking a Senior Salesforce Developer to design and implement customized Salesforce solutions for the Department of Energy, requiring extensive experience in Salesforce technology and hands-on programming skills.

Lead design and delivery of backend and data-driven services: translate product requirements into technical designs, implement and deploy production cloud services, mentor engineers, review code, drive technical decisions, and own the technical excellence and roadmap for your team.

Lead design and delivery of secure native iOS and Android apps. Architect security- and privacy-focused features, integrate backend microservices, optimize performance, mentor peers, and uphold best practices in testing and deployment.

Lead design and delivery of end-to-end personalization and experimentation programs using Contentful Personalization. Architect integrations, implement proofs-of-concept, run experiments, define measurement, ensure scalability/privacy, enable customers with workshops and technical guidance, and provide product feedback and reusable patterns.