Lead Software Engineer

Join Flexciton, where innovation meets inspiration in the heart of the semiconductor industry. We're pioneers in the 4th industrial revolution, crafting cutting-edge AI solutions tailored for manufacturing. Our customers are global leaders reshaping the semiconductor landscape, delivering billions of dollars of chips across the globe. Our state-of-the-art technology is redefining semiconductor manufacturing leading to unparalleled efficiency, sustainability and performance. Semiconductors are the cornerstone of tomorrow, integral to innovations in everything from automobiles to space exploration. At Flexciton, we're on an exhilarating upward trajectory, with our solutions increasingly critical to the productivity of the world's most advanced semiconductor facilities. Come join us and be a part of our journey. Job Summary We're seeking a Lead Software Engineer to drive technical excellence across our platform while helping shape our engineering culture, practices, and technology choices as we scale. This is a senior individual contributor role combining hands-on development, architectural leadership, and technical mentorship. You'll work across our entire stack, from data processing pipelines to API design, while helping shape our engineering culture and practices. Key Responsibilities Technical Leadership & Architecture Drive architectural decisions that balance innovation with reliability across our Python-based platform Design and implement scalable systems that handle complex data processing and optimization workflows Establish technical standards and best practices for the engineering team Provide technical mentorship and code review leadership Evaluate and guide adoption of new technologies to improve system performance and reliability Lead strategic technical initiatives including potential language/framework migrations Platform Development Build robust data processing pipelines that handle semiconductor fab data at scale Develop and enhance our REST APIs and microservices architecture Create frameworks that enable rapid prototyping while maintaining production quality Implement complex data science workflows in production-grade Python Engineering Excellence Champion software engineering best practices including testing, CI/CD, and monitoring Drive improvements in system reliability, performance, and maintainability Collaborate with optimization engineers to translate mathematical models into production code Lead technical design reviews and architecture discussions Required Experience Extensive experience building and scaling Python-based systems in production Strong track record of technical leadership and mentorship Deep understanding of software architecture principles and distributed systems Experience with modern development practices including CI/CD, testing, and monitoring Background in data-intensive applications and API design Familiarity with cloud platforms (preferably Azure)