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
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Last updated on Oct 8, 2024