Offer summary

Qualifications:

Bachelor's or Master's degree in Computer Science or a relevant scientific field., At least 5 years of experience developing distributed systems for large datasets., Proficiency in Node.js, Typescript, or Python, and associated technologies., Experience with databases, SQL, and cloud infrastructure like AWS, Azure, or GCP..

Key responsibilities:

Build infrastructure to support scientific analysis software.

Design and develop platforms and tools for deploying scientific analysis software.

Ensure tools meet resiliency, scalability, and high availability requirements.

Collaborate with product management to turn ideas into functional solutions.

Job description

Who We Are

TetraScience is the Scientific Data and AI Cloud company. We are catalyzing the Scientific AI revolution by designing and industrializing AI-native scientific data sets, which we bring to life in a growing suite of next gen lab data management solutions, scientific use cases, and AI-enabled outcomes.

TetraScience is the category leader in this vital new market, generating more revenue than all other companies in the aggregate. In the last year alone, the world’s dominant players in compute, cloud, data, and AI infrastructure have converged on TetraScience as the de facto standard, entering into co-innovation and go-to-market partnerships: Latest News and Announcements | TetraScience Newsroom

In connection with your candidacy, you will be asked to carefully review the Tetra Way letter, authored directly by Patrick Grady, our co-founder and CEO. This letter is designed to assist you in better understanding whether TetraScience is the right fit for you from a values and ethos perspective.

It is impossible to overstate the importance of this document and you are encouraged to take it literally and reflect on whether you are aligned with our unique approach to company and team building. If you join us, you will be expected to embody its contents each day.

What You Will Do

Be a member of the Tetra engineering team building infrastructure to support scientific analysis software
Self-start and make concrete progress in the face of ambiguity or conflicting requirements
Design and develop efficient platforms and tools for others to develop and deploy high-quality scientific analysis software
Address the resiliency, scale, and high availability requirements of these tools
Deliver a high-quality product following the agile software development methodology
Partner with the product management team to take the vision and ideas and turn them into reality
Be comfortable working with a geographically dispersed team, in various time zones
Learn, grow, and be challenged. You will speak up and represent your position amongst peers and leadership while remaining resilient and open to constructive feedback.

Requirements

What You Have Done

5+ Years of experience developing distributed systems to collect and process large datasets
Proficient with Node.js, Typescript, and associated technologies, OR Python and associated technologies
Proficient with Databases and SQL
Familiar with Streamlit, Plotly Dash, etc for data visualization
Familiar with container technologies like Docker
Familiar with cloud infrastructure providers like AWS, Azure, or GCP
Experience writing maintainable unit tests, and automated integration tests
Good application debugging skills
Strong communication skills, including technical writing
Bachelors or Masters degree in Computer Science, or in a relevant scientific field
Experience in Life Sciences or scientific data is a big plus!

Benefits

100% employer-paid benefits for all eligible employees and immediate family members
Unlimited paid time off (PTO)
401K
Flexible working arrangements - Remote work
Company paid Life Insurance, LTD/STD
A culture of continuous improvement where you can grow your career and get coaching

No visa sponsorship is available for this position

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