Offer summary

Qualifications:

Bachelor's or Master's degree in Computer Science or a related scientific field., Over 5 years of experience developing distributed data collection systems., Proficiency in Node.js, Typescript, or Python, and SQL databases., Familiarity with container technologies like Docker and cloud platforms such as AWS, Azure, or GCP..

Key responsibilities:

Build high-performance connectors to gather data from scientific instruments and sources.

Design and develop efficient data extraction solutions addressing scalability and resiliency.

Collaborate with product management to turn ideas into functional software.

Work effectively with a geographically dispersed team in an agile environment.

Who We Are

TetraScience is the Scientific Data and AI Cloud company. We are catalyzing the Scientific AI revolution by designing and industrializing AInative scientific data sets, which we bring to life in a growing suite of next gen lab data management solutions, scientific use cases, and AIenabled 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 coinnovation and gotomarket 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 cofounder 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 data acquisition engineering team building highly performant connectors to collect data from scientific instruments and other data sources

Selfstart and make concrete progress in the face of ambiguity or conflicting requirements

Design and develop efficient solutions to extract data from data sources

Address the resiliency, scale, and high availability requirements of the connectors

Deliver a highquality 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 container technologies like Docker

Familiar with cloud infrastructure providers like AWS, Azure, or GCP

Experience writing maintainable unit tests, and automated integration tests

Experience with Linux and cloudbased performance tuning

Good application debugging skills

Strong communication skills, including technical writing

Bachelors or Masters degree in Computer Science or equivalent major, or equivalent in a relevant scientific field

Experience in Life Sciences or scientific data is a big plus!

Benefits

100% employerpaid benefits for all eligible employees and immediate family members

Unlimited paid time off (PTO)

401K

Flexible working arrangements Remote work

Company paid Life Insurance, LTDSTD

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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