• Own backend features end-to-end: discovery, design, implementation, rollout, and long-term reliability/operations • Design and evolve distributed systems (services, pipelines, data stores) with strong performance, scalability, and resiliency • Build and maintain APIs (REST/GraphQL, where relevant) and data access patterns supporting analytics and search use cases • Establish strong engineering fundamentals: code reviews, testing strategies, incident readiness, and operational excellence • Apply an experimentation-first approach: define hypotheses, define success metrics/guardrails, run controlled rollouts and A/B tests when appropriate, and write clear readouts for stakeholders. • Bring evaluation discipline to AI-assisted work: treat prompts/configs like versioned artifacts, design regression tests, measure quality changes, and monitor for drift (the same way you would for performance or correctness) • Use GenAI productively and responsibly (for coding assistance, debugging, and design reviews), while maintaining high standards for correctness, security, and privacy. • Mentor teammates and raise the bar through documentation, pairing, and lightweight coaching on best practices

• Opportunity to work with a talented team that is engaged in hands-on practice every day. • Passion for architecture and metrics analysis, with involvement throughout the entire product development lifecycle. • Code and make an impact with your contributions. • Work in an innovative, collaborative environment where ideas and expertise are valued.

• Firmware Development: Take a front-line role in designing, developing, and maintaining firmware for embedded systems, ensuring functionality, reliability, and performance optimization. • Collaborative Problem-Solving: Work closely with cross-functional teams to integrate software with hardware components, troubleshoot issues, and optimize system performance. • Code Review and Documentation: Conduct code reviews, document code changes, and ensure compliance with coding standards and best practices in firmware development. • Testing and Validation: Develop test procedures and perform rigorous testing to validate firmware functionality and identify and resolve bugs or issues. • Research and Innovation: Stay updated with emerging technologies, tools, and trends in embedded systems and contribute innovative ideas to enhance product capabilities.

• Be part of a dynamic team that is passionate about creating industry-changing, cloud-based applications and platforms • Solve real customer problems and experiment with new ideas • Decompose existing software systems while working with and influencing others to improve the overall architecture • Collaborate with QA engineers to ensure accurate and comprehensive testing coverage • Contribute to troubleshooting and technical support of the product • Participate in all aspects of the software development life cycle