Senior Fullstack Engineer

We are currently looking for a Senior Full Stack Engineer to join our growing Web Applications team. Reporting to the Engineering Manager, you'll work on complex projects, actively contribute to Conversational AI, back-end and front-end initiatives, and grow along with other engineers as you develop solutions for our software as a service (SaaS) products that help scientists save time and increase their experiment quality.

You Will:

• Implement new features and bug fixes as part of a larger cross-functional team of data engineers, product managers, designers, and scientists
• Work within your immediate team of 4-6 full-stack engineers to do technical investigations, solution designs, code implementation with automated tests, and code reviews
• Lead or consult the authoring of engineering design proposals following our product roadmap at BenchSci
• Leverage a deep understanding of the business context and the team’s goals to unlock independent technical decisions in the face of open-ended requirements
• Proactively identify new opportunities (from both internal and external sources) and advocates for and implements improvements to the current state of projects
• Adhere to and improve our high standards of highly scalable and maintainable code
• Help set a high standard for exceptional engineers who are outcome-oriented and improve the team's culture
• Be given an unmatched opportunity for accelerated growth and learn from a team of world-class engineers
• Provide troubleshooting analysis and resolution in a timely manner
• Work on projects involving some of the largest pharmaceutical companies in the world
• Solve difficult problems and bring new perspectives to the team

You Have:

• A degree in Computer Science/Engineering or a related field within science
• High comfort working with a Python back-end and a React/Typescript front-end
• 4+ years of experience working as a professional full-stack developer
• Solid understanding of relational databases and SQL (PostgreSQL, MySQL or similar)
• Experience working with cloud platforms (AWS, GCP, Azure)
• Excellent communication and collaboration skills
• Strong problem-solving and analytical skills
• Experience with Frontend and Backend testing frameworks (Jest, Cypress, PyTest, etc.)
• Strong understanding of the Python and Typescript type systems

Nice to haves, but not mandatory qualifications:

• Experience with Conversational AI and RAG solutions
• Experience with authentication solutions and SSO
• Experience with FastAPI
• Experience with Data Pipelines
• Experience with DevOps practices and tools
• Ability and willingness to mentor other engineers