Staff Full Stack Software Engineer

Join Divergent, a cutting-edge manufacturing platform, as a Staff Full-Stack Software Engineer. In this hands-on role, you will lead the architecture, design, and development of mission-critical software systems. You will drive architectural decisions, establish engineering standards, and solve complex technical challenges across engineering, manufacturing, robotics, and factory operations. This position offers significant autonomy and the opportunity to shape the future of Divergent's software ecosystem.

• Lead the architecture, design, and development of mission-critical software systems for manufacturing platforms.
• Drive architectural decisions, establish engineering standards, and solve complex technical challenges across engineering, manufacturing, robotics, and factory operations.
• Mentor and develop engineers at various levels, raise the technical bar across the organization through coaching, code reviews, and design guidance.
• Exceptional communication, collaboration, and problem-solving skills
• Deep understanding of software architecture, distributed systems, API design, and database technologies
• Bachelor's degree in Computer Science, Software Engineering, Computer Engineering, or related technical field; equivalent experience considered
• Demonstrated success leading technical initiatives that span multiple projects, products, or teams
• Expert-level proficiency in TypeScript, JavaScript, Node.js, and modern front-end frameworks such as React
• Extensive experience building and scaling production software systems
• 10+ years of professional software engineering experience
• Strong experience designing highly scalable, reliable, and maintainable software platforms
• Ability to lawfully access information and technology subject to U.S. export controls
• Background developing software for advanced manufacturing, industrial automation, robotics, aerospace, defense, automotive, or other complex hardware-centric environments
• Strong understanding of digital manufacturing ecosystems, including MES, ERP, PLM, factory automation, or production operations platforms
• Expertise in Kubernetes, Docker, cloud-native architectures, and distributed computing systems operating at scale
• Proficiency designing and operating data-intensive applications, event-driven architectures, and real-time operational systems
• Knowledge of software integration with robotic systems, industrial equipment, sensors, machine controls, or automation platforms
• Familiarity with machine learning, artificial intelligence, and data-driven optimization techniques applied to engineering or manufacturing workflows
• Track record of driving technical strategy, influencing architectural decisions, and delivering cross-functional initiatives with significant business impact
• Demonstrated ability to mentor senior engineers and elevate engineering standards across an organization
• Passion for solving complex technical challenges in highly interdisciplinary environments that combine software, hardware, and manufacturing technologies