Full Stack Software Engineer, Benchling

• 3+ years of professional software engineering experience
• Solid understanding of software engineering best practices, including writing clean, maintainable code, testing, version control, and working within Agile workflows
• Strong expertise in frontend development ( with React or similar frameworks ) and backend development ( with high level languages like Python ). Experience building scalable, user-friendly applications that support complex scientific workflows
• Strong problem-solving skills, with the ability to iteratively improve solutions based on feedback and real-world performance
• Experience collaborating with other engineers in a team setting. Ability to provide constructive feedback, perform code reviews, and work together on solving complex engineering problems
• Excellent communication skills, with the ability to collaborate effectively with cross-functional teams (Product, Design, Data Science, etc.)
• A passion for learning and growth, especially in the life sciences or biotechnology space (no prior knowledge required, just a willingness to learn and adapt)

Desirable

• We’re a full-stack web application development team focused on creating powerful, intuitive tools that support a broad range of scientific workflows
• From designing DNA constructs and analyzing protein sequences to performing gene editing experiments and drawing chemical compounds, we build the features that help scientists better plan, execute, and understand their research
• Own end-to-end project development: Take ownership of projects from understanding product requirements and designs to planning, implementing, testing, and deploying solutions. You will handle the full lifecycle of features, from initial concept to final delivery
• Collaborate with product managers and designers
• Write clean, maintainable code: Contribute to both frontend (React) and backend (Python) development, ensuring high-quality, scalable code that adheres to best practices and solid engineering principles
• Refactor and manage technical debt: Take responsibility for improving and cleaning up existing code while building new features. Identify areas for technical improvement, ensuring long-term code maintainability and product scalability
• Design and implement robust testing and metrics
• Collaboration with Other Engineers
• Ownership and Accountability
• Adaptability and Openness to New Challenges – Especially in a fast-paced, evolving field like life sciences, the ability to pivot, handle ambiguity, and quickly learn new technologies or domains could be important
• Cross-functional Communication – Ability to work with other engineering teams as well and customer success