• Collaborate closely with Product Managers, Designers, Data Operations, and other Engineers to deliver high-quality product experiences. • Design and implement features that improve user onboarding, product adoption, and long-term engagement. • Help build experiments that validate product ideas and measure customer impact. • Contribute to technical discussions and collaborate on solutions that balance customer value with technical excellence. • Deliver well-tested, maintainable, and performant code. • Prototype solutions and iterate quickly based on customer feedback and product insights. • Participate in code reviews, share knowledge with teammates, and contribute to a collaborative engineering culture.

• participate in and lead the entire biosignal-based algorithm development lifecycle for medical devices • select, implement, and develop the most appropriate method for each problem • enhance our internal deep learning and machine learning tools to boost team efficiency • spread and improve our best practices to ensure algorithm implementations are user-friendly, well-documented, and thoroughly tested • present results to key stakeholders • support the client-facing projects to understand and shape the impact Beacon algorithms have for our customers

• Develop and maintain integrations between the platform and third-party systems • Analyze technical documentation and implement integration solutions • Support existing .NET and Node.js applications by troubleshooting and resolving production issues • Support the migration of existing integrations to MuleSoft • Collaborate with cross-functional teams and client stakeholders to deliver integration projects • Participate in technical discussions, code reviews, and development planning • Contribute to continuous improvements across the platform

• Lead the architectural design and technical implementation of scalable, maintainable, reliable, and secure software solutions using open-standard technologies. • Develop and maintain software solutions using modern Java enterprise development practices and industry-standard frameworks. • Design, develop, test, and maintain clean, efficient, secure source code within Government-owned Git repositories. • Provide technical leadership and guidance to software development teams, promoting best practices in architecture, coding standards, and secure development. • Participate in and conduct mandatory peer code reviews to ensure software quality, maintainability, and adherence to established standards. • Ensure software meets automated quality and security requirements through continuous integration, automated testing, and Static Application Security Testing (SAST). • Analyze and remediate software vulnerabilities, ensuring all new Blocker, Critical, and High security findings are addressed prior to task completion. • Identify, evaluate, and execute technical debt remediation efforts based on Government priorities. • Maintain and improve software quality metrics, including: minimum 90% automated test coverage for new code, overall SonarQube code quality rating of "A", inline documentation for at least 90% of individual methods using tool-compatible formats. • Collaborate with cybersecurity teams to ensure compliance with DoD Risk Management Framework (RMF) processes and Security Technical Implementation Guide (STIG) requirements. • Research, prototype, and evaluate emerging technologies, including artificial intelligence/machine learning (AI/ML), low-code/no-code platforms, and AI-assisted software development tools. • Mentor software engineers and promote adoption of modern development practices, tools, and technologies. • Support continuous improvement initiatives focused on software quality, performance, security, and mission effectiveness.