Senior Software Engineer - Agents

United States

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Not SpecifiedCompensation

Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Scientific Data, AI Cloud, Enterprise SoftwareIndustries

Requirements

The ideal candidate will have a proven track record in designing and building distributed applications, strong proficiency in backend service development using C#/.NET and TypeScript, and experience with modern, responsive front-end applications using TypeScript/React. Candidates must have hands-on experience with AWS DynamoDB, RDS, SQS, Lambda, API Gateway, microservices patterns, automated testing at multiple levels, strong Git skills, and experience with GitHub Actions for CI/CD. Proficiency in production debugging and excellent communication skills are also essential, along with experience with AWS cloud services.

Responsibilities

The Senior Software Engineer will architect, design, and maintain distributed applications ensuring high performance, scalability, and security. They will develop backend services primarily using C#/.NET and TypeScript, and cloud APIs, as well as modern, responsive front-end applications using TypeScript/React. Responsibilities include designing and implementing microservices architecture using AWS services, creating and maintaining automated tests, implementing and maintaining CI/CD pipelines using GitHub Actions, diagnosing and resolving production issues in distributed systems, and collaborating with product managers, tech leads, and other engineers to deliver reliable solutions.

Skills

.NET Framework

TypeScript

Automated Testing

GitHub Actions

CI/CD

Production Debugging

AWS

TetraScience

Cloud platform for scientific data management

About TetraScience

TetraScience offers a cloud-based platform called the Scientific Data Cloud, which helps biopharmaceutical companies manage and harmonize their scientific data for research and development, quality assurance, and manufacturing. The platform connects various lab instruments and software, streamlining data management and significantly reducing task completion time. TetraScience's vendor-neutral and open design allows it to work with any lab equipment, making it a flexible solution in the life sciences sector. The company's goal is to enhance scientific outcomes by preparing data for artificial intelligence and machine learning applications.

Boston, MassachusettsHeadquarters

2019Year Founded

$113.8MTotal Funding

SERIES_BCompany Stage

AI & Machine Learning, Biotechnology, HealthcareIndustries

51-200Employees

Benefits

Unlimited PTO

100% company paid health, dental, & vision

Company paid life insurance

401k savings

Company paid disability insurance

Equity program

Flexible work arrangements

Risks

Rapid AI development may outpace TetraScience's integration capabilities, risking obsolescence.

Dependency on partners like Google Cloud and NVIDIA could pose risks if disrupted.

International expansion may expose TetraScience to regulatory and compliance challenges.

Differentiation

TetraScience offers a vendor-neutral, open, cloud-native platform for scientific data management.

The platform integrates with any lab equipment or software, enhancing flexibility and adaptability.

TetraScience's Scientific Data Cloud centralizes and harmonizes data, preparing it for AI/ML applications.

Upsides

Partnerships with NVIDIA and Google Cloud enhance AI-native scientific datasets and capabilities.

Collaboration with Databricks accelerates the Scientific AI revolution in life sciences.

Bayer AG partnership maximizes scientific data value, driving innovation in biopharma.

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