Job Description: Software Engineer, Data Acquisition

Employment Type: Full-time Location Type: Remote Department: Engineering Published: 2025-07-14

Position Overview

TetraScience is the Scientific Data and AI Cloud company, catalyzing the Scientific AI revolution by designing and industrializing AI-native scientific data sets. We are the category leader in this vital new market, generating more revenue than all other companies in the aggregate. In the last year, 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.

Note: Candidates will be asked to review the "Tetra Way" letter, authored by the CEO, to assess cultural and values alignment.

What You Will Do

• Be a member of the Tetra data acquisition engineering team building highly performant data management tools for scientific instruments and other data sources.
• Self-start and make concrete progress in the face of ambiguity or conflicting requirements.
• Design and develop efficient solutions to extract data from data sources and make it available elsewhere.
• Address the resiliency, scale, and high availability requirements of these solutions.
• Deliver a high-quality product following the agile software development methodology.
• Partner with the product management team to translate vision and ideas into reality.
• Be comfortable working with a geographically dispersed team across various time zones.
• Learn, grow, and be challenged. Speak up and represent your position amongst peers and leadership while remaining resilient and open to constructive feedback.

Requirements

What You Have Done

• 8+ Years of experience designing and developing distributed systems to collect and process large datasets.
• Proficient with Node.js, Typescript, and associated technologies.
• Proficient with container technologies like Docker.
• Proficient with cloud infrastructure providers like AWS, Azure, or GCP.
• Proficient with threading, parallelism, concurrency, and other distributed system concerns.
• Familiar with networking concepts like DNS, TLS, tunneling.
• Experience writing maintainable unit tests and automated integration tests.
• Experience with on-premise distributed software and operational support (e.g., logging, alerting).
• Experience with cross-platform development.
• Good application debugging skills.
• Strong communication skills, including technical writing.
• Bachelors or Masters degree in Computer Science or equivalent major.

Plus Factors

• Experience with Python and associated technologies.
• Experience in Life Sciences or scientific data.

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.

Additional Details:

• No visa sponsorship is available for this position.
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