PANW - Sr. FullStack SW Engineer - 152

We are seeking a highly skilled Senior Full-Stack Software Engineer to join our dynamic Innovation Team. This role is pivotal in developing early-stage prototypes and proof of concepts for AI applications focused on gamification. The ideal candidate will leverage their full-stack expertise to bring innovative solutions to production, contributing significantly to our core consumer platform. As part of a small, agile team, you will have the opportunity to experiment, validate new ideas, and shape the future of our technology offerings.

As a Senior Full-Stack Software Engineer, your primary responsibilities will include:

• Collaboration: Work closely with the Innovation Team and cross-functional stakeholders, including Product Managers and UX Designers, to align on project goals and deliverables.
• Development: Design, develop, and maintain both front-end and back-end components of applications, ensuring seamless integration and functionality.
• Rapid Prototyping: Quickly prototype new ideas and concepts, iterating based on feedback and testing to validate their effectiveness.
• Scalable Application Design: Architect and design applications that are scalable and maintainable, ensuring they can handle increased user demand and data.
• Quality Assurance: Implement and maintain product quality through automated testing and code reviews, ensuring high standards are met.
• Analytics Integration: Integrate analytics tools to monitor application performance and user engagement, providing insights for continuous improvement.
• Software Release Planning: Plan and execute software releases, coordinating with team members to ensure timely delivery of features and updates.
• Performance Optimization: Identify and address performance bottlenecks in applications, enhancing user experience and system efficiency.
• Technical Architecture Contribution: Contribute to the overall technical architecture of the applications, ensuring alignment with best practices and company standards.
• AI Tool Utilization: Leverage AI tools and technologies to accelerate development processes and enhance application capabilities, including the implementation of machine learning features.

• TypeScript: Proficient in TypeScript for building robust front-end applications, ensuring type safety and maintainability.
• Python: Strong experience in Python for back-end development, particularly in building APIs and data processing applications.
• Flutter: Familiarity with Flutter for mobile application development, enabling cross-platform solutions that enhance user engagement.
• Data Modeling: Expertise in data modeling to design efficient database schemas that support application functionality.
• Relational Databases: Proficient in working with relational databases, particularly PostgreSQL, to manage and query data effectively.
• Distributed Systems: Experience in developing highly-scalable distributed systems that can handle large volumes of data and user requests.
• Mobile Application Development: Proven track record in mobile application development, ensuring seamless user experiences across devices.
• Automated Testing: Knowledge of automated testing frameworks and practices to ensure code quality and reliability.
• Problem-Solving: Strong analytical and problem-solving skills to address complex technical challenges and optimize solutions.
• Analytical Thinking: Ability to analyze data and user feedback to inform development decisions and improve application performance.
• Software Development Lifecycle (SDLC): Familiarity with the software development lifecycle, including agile methodologies, to manage project timelines and deliverables.
• CI/CD: Experience with Continuous Integration and Continuous Deployment (CI/CD) practices to streamline development and release processes.
• Communication: Excellent communication skills to collaborate effectively with team members and stakeholders, articulating technical concepts clearly.
• PostgreSQL or Other Relational Databases: Proficiency in PostgreSQL or similar relational databases for data management and application support.
• Highly-Scalable Distributed Systems: Experience in designing and implementing highly-scalable distributed systems that can grow with user demand.
• Automated Testing for Mobile Applications and Backend Services: Knowledge of automated testing strategies for both mobile applications and backend services to ensure quality and performance.
• Developing and Deploying AI-Driven Features: Experience in developing and deploying AI-driven features, including machine learning (ML) and large language models (LLM).
• RAG Implementation: Familiarity with Retrieval-Augmented Generation (RAG) implementation to enhance AI capabilities in applications.
• Machine Learning Model Implementation: Experience in implementing machine learning models to provide intelligent features and insights.
• Prompting: Knowledge of prompting techniques to optimize AI interactions and improve user experience.

• Startup Experience: Previous experience working in a startup environment, demonstrating adaptability and a proactive approach to problem-solving.
• App Publication: Experience in publishing applications to app stores, understanding the requirements and processes involved.
• Cloud Infrastructure: Familiarity with cloud infrastructure, particularly in deploying applications on platforms like AWS or Azure, to enhance scalability and reliability.