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TetraScience

Cloud-native platform centralizing scientific data

Senior Software Engineer - Agents

Full-Stack EngineeringConfirmed live in the last 24 hours
Full-timeSan Mateo, CA, USA

About the Job

Requirements

  • Strong proficiency in backend service development using C# and .NET.
  • Strong proficiency in TypeScript and React for front-end user interfaces.
  • Experience building and operating software in on-premises or customer-hosted environments and cloud-native multi-tenant environments, including understanding differences in debugging, deployment, and scaling.
  • Hands-on production experience with AWS DynamoDB, RDS, and SQS, or an equivalent cloud provider.
  • Experience with microservices patterns, including service discovery, API gateways, messaging or queueing, and data partitioning.
  • Experience with automated testing at multiple levels.
  • Strong Git skills and hands-on experience with GitHub Actions for continuous integration and continuous delivery.
  • Strong troubleshooting skills for distributed systems in production.
  • Solid understanding of cloud-native architecture and AWS best practices.
  • Familiarity with observability tooling and practices, including OpenTelemetry, structured logging, distributed tracing, and metrics-based alerting, to support proactive issue detection.
  • Excellent verbal and written communication skills.
  • Strong collaboration skills in cross-functional teams.
  • Analytical mindset with high attention to detail.

Responsibilities

  • Architect, design, and maintain distributed applications, ensuring high performance, scalability, and security.
  • Develop backend services, primarily with C#/.NET and TypeScript, cloud APIs, and modern responsive front-end applications using TypeScript and React.
  • Design and implement loosely coupled, independently deployable services using AWS services such as DynamoDB, RDS, SQS, Lambda, and API Gateway.
  • Create and maintain automated unit, integration, contract, and end-to-end tests across microservices and user-interface layers.
  • Use GitHub Actions to implement and maintain continuous integration and continuous delivery pipelines for backend services and front-end applications.
  • Diagnose and resolve production issues in distributed systems, including service-to-service communication, CPU, memory, and network bottlenecks, and AWS service performance.
  • Instrument services using OpenTelemetry or equivalent to enable earlier fault detection, clearer alerting, and stronger operational visibility.
  • Contribute to service-level objective definition and mean time to recovery reduction efforts across the platform.
  • Work closely with product managers, tech leads, and other engineers to deliver reliable, maintainable, and scalable solutions.
  • Communicate technical decisions clearly to technical and non-technical stakeholders.

Desired Qualifications

  • Familiarity with containerization using Docker and experience defining AWS infrastructure using CloudFormation or AWS CDK to support predictable and repeatable environments.
  • Experience with performance tuning and designing scalable solutions.
  • Experience with or exposure to scientific instrument software or Chromatography Data Systems (CDS), such as Waters Empower, Thermo Chromeleon, Cytiva UNICORN, or Agilent OpenLab, along with knowledge of instrument integration patterns and practices.

About the Company

TetraScience

Cloud-native platform centralizing scientific data

TetraScience offers a cloud-based Scientific Data Cloud that helps biopharmaceutical teams collect, centralize, and harmonize scientific data from lab instruments, software, and apps. It connects data across R&D, QA/QC, and manufacturing so data workflows run faster and data is ready for AI/ML analyses. The platform is vendor-neutral and open, designed to work with any lab equipment or software, providing end-to-end data management across the biopharma value chain. Its goal is to improve scientific outcomes by turning scattered data into a unified, ready-to-use data foundation that accelerates data-driven discovery and production.

Company size
201-500
Company stage
Series B
Total funding
$117.2M
Headquarters
Boston, MA
Founded
2019

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