• Develop and refine automation solutions through direct Python development, while also leveraging internal platforms and traditional RPA software as complementary tools where appropriate. • Collaborate with cross-functional teams, including AI/ML experts, to design robust, efficient automation that integrates seamlessly with existing systems. • Architect and build advanced automations and reusable components that form the backbone of our as-a-service offerings for clients. • Engage directly with clients to understand their business processes and tailor solutions to meet their unique needs. • Stay current with emerging technologies, applying advancements in AI, LLMs, and GPT to enhance automation capabilities. • Design and implement API integrations, whether using REST or SOAP protocols, to ensure smooth connectivity between systems and services. • Mentor and support junior developers, fostering a culture of growth, collaboration, and continuous improvement.

• Responsible for setting technical strategy for your team on a year-long time scale, owning backend platforms that power incentives and growth initiatives. • Collaborate with product management, analytics, and partner teams to shape technical direction for incentive systems. • Act as a force-multiplier by defining platform abstractions, APIs, and architectural patterns. • Take ownership of your team’s operations and availability by ensuring robust monitoring, alerting, playbooks, and on-call practices. • Foster a culture of quality and ownership by setting design and code review standards. • Help develop talent on your team by providing actionable feedback, technical guidance, and leadership.

• Collaborate with the principal engineers on developments planning and architecture designs. • Coordinate subprojects, building and maintaining distributed, clean, testable and data oriented applications. • Improve services reliability, scalability and performance. • Own your code all the way to production with a self-service continuous delivery pipeline and production infrastructure. • Dive deep into host-level problem-solving and help to improve detection methods. • Play a vital role in nurturing our engineering culture, emphasizing quality through peer-reviews, monitoring, and on-call best practices. • Mentor junior developers to help them grow. • Collaborate closely with the Data Science team on data oriented feature development.

• Write production code every day • Contribute to architectural decisions • Improve system reliability • Actively participate in Agile ceremonies (planning, stand-ups, retrospectives)