• Write, modify, and debug software for client applications • Work closely with the Product Development team, and report clearly and accurately to management • Perform engineering level tests to find defects, troubleshoot, test, and validate software issues; resolve issues with due urgency and maintain thorough documentation of all software solutions • Assist with research and development • Work closely and effectively with your team, management, and designers to build world class software applications • Translate design specifications to web or client applications that work well across multiple devices • Contribute to design and architecture of our platform to meet business requirements • Stay current on the latest web tools, client-side technologies, standards, and practices • Work with Quality Assurance to ensure delivery of high-quality software • Assist other developers with questions; willing to help the team when asked • Recommend improvements to existing software programs as necessary • Conceive, experiment with, and present architectural approaches for software applications, including web, client, server, and others • Ensure architectural integrity and consistency across the entire product • Design new software applications • Provide technical consultancy, expertise and advice to the development team and management on matters of technical architecture and infrastructure developments, including their feasibility • Promote the re-use of code, components, and systems to ensure that these support the widest range of company products possible and are aligned with technical strategy • Ability and desire to both estimate tasks and meet deadlines, working effectively with minimal supervision in a team environment • Work as needed with the support team to help resolve difficult technical issues in our customer base • Leverage AI-enabled tools and analytics to enhance decision-making, improve efficiency, and drive measurable business outcomes when appropriate • Apply sound judgment and ethical standards when using AI, ensuring accuracy, data privacy, and responsible human-in-the-loop oversight • Other duties as assigned

• Own 0-to-1 development of new products and features – from problem discovery to launch to iteration. • Define what to build, why, and how to measure success – then see it through. • Work directly with users, support, and data to understand real problems, not assumed ones. • Run experiments, define metrics, and shut down what doesn't work. • Collaborate deeply with engineering – understand architectural trade-offs, review technical approaches, and unblock decisions. • Prototype and validate ideas fast using AI tools (Claude, Cursor, Copilot, agents), scripts, no-code, or whatever gets you to the answer quickest. • Identify where AI and LLMs can create real product value – and build the case for it. • Write product specs and briefs that engineers actually want to read – clear, technical, and opinionated. • Stay hands-on: write queries, dig into data pipelines, spin up prototypes, open a PR when it makes sense.

• Implement ANet’s next generation of technology products that support data-driven educational practices • Design, develop, test, and maintain a robust and scalable data lake solution, RESTful back-end services, and, occasionally, web applications that provide ANet’s educational partners with insights that boost student learning • Engage in technical design and code reviews, embracing and promoting best practices to document and deliver a high-quality software system that scales • Monitor and troubleshoot production data pipelines, proactively address issues, performance bottlenecks, and system failures • Contribute to the evolution of our data infrastructure, recommending and implementing solutions to improve testability, maintainability, scalability, and efficiency • Join product managers and business analysts to understand available data and translate user stories into reporting platform capabilities • Collaborate and integrate with third-party data providers to ingest and share data using established, sustainable patterns adopted by the team • Keep abreast of new technologies and propose adoption as appropriate

• Develop and maintain software platforms and infrastructures that support multiple engineering teams; • Design, implement, and evolve CI/CD pipelines, ensuring efficiency, reliability, and quality in delivery processes; • Develop and maintain scalable, high-performance, and secure fullstack solutions; • Work closely with product teams to understand requirements and define technical solutions; • Implement and evolve automated testing strategies (unit, integration, end-to-end, performance, and security); • Automate operational processes and development workflows to increase productivity and optimize costs; • Monitor systems and platforms, analyzing metrics, SLIs, SLOs, and SLAs, and proposing continuous improvements; • Operate with a systemic perspective, identifying risks, bottlenecks, and opportunities within the technology ecosystem; • Provide technical support to the team, promoting best practices, standardization, and professional development; • Evaluate and propose technical solutions aligned with strategic objectives, OKRs, and KPIs.