Top Tech Jobs & Startup Jobs in Washington DC,

As a Sales Engineer, you will provide technical expertise to support the sales process, customize solutions for clients, and collaborate with internal teams.

Lead architecture, development, and maintenance of scalable Moodle LMS platforms. Build custom plugins and themes, implement SCORM/xAPI/LTI integrations, optimize performance and security, manage CI/CD and cloud deployments, and mentor engineers while collaborating with designers and stakeholders.

As a Customer Support Developer, you'll provide technical support for database-related issues, develop integrations for customers, and collaborate across teams to improve product reliability and performance.

Design, build, and scale data integrations for healthcare systems, collaborating with teams and enhancing functionality while ensuring security and quality.

As a Senior Frontend Engineer, you will design and build web applications, owning major UI projects, collaborating with cross-functional teams, and optimizing performance for a seamless user experience.

Support and optimize products migrated to AWS, implement cloud best practices, maintain operational coverage, enhance automation, observability, CI/CD/GitOps, and security. Collaborate with development and platform teams to scale, troubleshoot, and ensure reliable SaaS operations.

The backend developer will build backend software focusing on reliable APIs, ensure high-quality output, and collaborate with teams.

Own end-to-end payroll for a multi-site, multi-state clinical organization using Rippling. Process semi-monthly and off-cycle payroll, maintain records, reconcile reports in Excel, respond to employee inquiries, support benefits and year-end tax processes, and maintain audit-ready compliance documentation.

Own slide-grade analytics for PE and executive audiences by transforming Salesforce and BI outputs into polished board packs, causal commentary, reusable templates, and executive narratives. Attribute pipeline variance, produce funnel and revenue analytics, train client teams, and ensure deliverables are modular, PE-ready, and maintainable across engagements.

Design, build, and deploy novel sensor hardware and data acquisition systems; curate geoscientific datasets; develop statistical, physics-based, and ML models (2D/3D) to predict mineralization; create visualizations and evaluation tools; collaborate with geoscientists, engineers, and vendors; deploy sensors in the field and integrate results to guide exploration programs.