Lead Software Engineer

About Scimplify

Scimplify is a science-first manufacturing company for Advanced Materials: from specialty chemicals to the emerging building blocks of next-generation energy applications, life sciences, and crop sciences.

We scale process development and manufacturing as one continuous system, supported by world-class R&D infrastructure and executed across a global network of 500+ manufacturing partners and thousands of scientists and technical partners. The result: new materials go from molecule to commercial scale in months, not years. Scimplify operates offices and teams across 5 countries with 1,000+ innovator customers in 40+ countries.

We are backed by investors such as Accel, Bertelsmann, Omnivore, Hitachi Ventures and 3one4 Capital, having raised over $80M.

Key Responsibilities

• Own the engineering roadmap, system architecture, and technical direction.
• Lead and manage a team of engineers, including hiring, mentoring, performance management, and career development.
• Design and build scalable, secure, and high-performance systems.
• Drive engineering best practices, coding standards, architecture reviews, and technical governance.
• Partner with Product and Leadership to translate business requirements into technical solutions.
• Own end-to-end delivery of key engineering initiatives.
• Drive cloud-native development using AWS/GCP, Docker, Kubernetes, and CI/CD.
• Ensure system reliability, security, performance, and operational excellence.
• Lead critical production incidents and root-cause resolution.
• Evaluate new technologies and continuously improve engineering processes.

Required Qualifications

• 8–12+ years of software engineering experience, including 3+ years in a technical leadership role, with at least 2 years working directly on AI/ML-driven products or platforms
• Proven experience managing and mentoring engineering teams.
• Strong expertise in system design, microservices, APIs, and distributed systems.
• Proficiency in Python / Java / Node.js; React experience is a plus.
• Strong experience with AWS/GCP, databases, Docker, Kubernetes, and CI/CD.
• Strong communication, stakeholder management, and people leadership skills.

Preferred

• Experience in high-growth startup/scale-up environments.
• Exposure to AI/ML or data-heavy platforms.
• Experience building and scaling engineering teams.