Job Description: Software Engineer
Employment Type: Full-time
Location Type: Remote
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 offer next-generation lab data management solutions, scientific use cases, and AI-enabled outcomes. TetraScience is the category leader in this vital new market, with significant revenue and partnerships with dominant players in compute, cloud, data, and AI infrastructure.
- Company Mission: To industrialize AI-native scientific data sets and drive the Scientific AI revolution.
- Company Culture: Candidates are encouraged to review the "Tetra Way" letter from the CEO, which outlines the company's values and ethos. Alignment with this document is considered crucial for potential hires.
Responsibilities
As a member of the Tetra engineering team, you will:
- Build platforms, SDKs, and other tools using various languages and software stacks.
- Self-start and make concrete progress in ambiguous or conflicting requirement situations.
- Design and develop efficient solutions to automate lab data flows and build tools for others.
- Address the resiliency, scale, and high availability requirements of these tools.
- Deliver a high-quality product following agile software development methodologies.
- Partner with the product management team to translate vision and ideas into reality.
- Collaborate effectively within a geographically dispersed team across different time zones.
- Embrace learning, growth, and challenges, speaking up and representing your position while remaining resilient and open to constructive feedback.
Requirements
Experience and Skills:
- 5+ years of experience developing distributed systems for collecting and processing large datasets.
- Experience with full-stack development.
- Proficiency with Node.js, Typescript, and associated technologies, OR Python and associated technologies.
- Proficiency with web front-end frameworks like React.
- Familiarity with container technologies like Docker.
- Familiarity with cloud infrastructure providers such as AWS, Azure, or GCP.
- Experience writing maintainable unit tests and automated integration tests.
- Good application debugging skills.
- Strong communication skills, including technical writing.
- Experience in Life Sciences or scientific data is highly desirable, ideally with direct wet lab experience or experience supporting scientists.
Benefits
- 100% employer-paid benefits for all eligible employees and immediate family members.
- Unlimited paid time off (PTO).
- 401K.
- Flexible working arrangements, including remote work.
- Company-paid Life Insurance, LTD/STD.
- A culture of continuous improvement with opportunities for career growth and coaching.
- No visa sponsorship is available for this position.
Additional Details
- Published: 2025-07-14
- Department: Engineering
- Language: English