TetraScience is the Scientific Data and AI Company building Tetra OS, the operating system for scientific intelligence. We help the world’s leading life sciences firms turn fragmented scientific data into AI-native assets and scientific workflows that accelerate discovery, development, and manufacturing. TetraScience’s growing ecosystem of strategic partners includes NVIDIA, Databricks, Thermo Fisher Scientific, Snowflake, Google, and Microsoft.
The Role
We are seeking a highly skilled Senior .NET Engineer to join our dynamic team. The ideal candidate will have extensive experience in designing and developing high-performance, scalable applications using C#, the .NET Framework, and TypeScript. The role involves implementing automated testing and leveraging GitHub Actions for CI/CD pipelines. The candidate should also be proficient in production debugging and possess excellent communication skills. Knowledge and experience with AWS cloud services are also essential.
What You Will Do
- High-Performance, Distributed, and Scalable Application Design:
- Architect, design, and maintain distributed applications, ensuring high performance, scalability, and security.
- Full-Stack Development:
- Develop backend services (primarily C#/.NET and TypeScript) and cloud APIs, as well as modern, responsive front-end applications using TypeScript/React.
- Microservices Architecture:
- Design and implement loosely coupled, independently deployable services using AWS services such as DynamoDB, RDS, SQS, Lambda, API Gateway, and others.
- Automated Testing:
- Create and maintain automated unit, integration, contract, and end-to-end tests across microservices and UI layers.
- CI/CD Pipelines:
- Use GitHub Actions to implement and maintain CI/CD pipelines for both backend services and front-end applications.
- Production Debugging & Optimization:
- Diagnose and resolve production issues in distributed systems, including service-to-service communication, CPU/memory/network bottlenecks, and AWS service performance.
- Observability & Operational Excellence:
- Instrument services using OpenTelemetry (or equivalent) to enable earlier fault detection, clearer alerting, and stronger operational visibility. Contribute to SLO definition and MTTR reduction efforts across the platform.
- Collaboration & Communication:
- Work closely with product managers, tech leads, and other engineers to deliver reliable, maintainable, and scalable solutions. Communicate technical decisions clearly to both technical and non-technical stakeholders.
RequirementsWhat You Will Bring
Required Skills
- Strong proficiency in backend service development using C#/.NET.
- Strong proficiency in TypeScript and React for front-end UI.
- Experience building and operating software in both on-premises/customer-hosted environments and cloud-native multi-tenant environments, with an understanding of how debugging, deployment, and scaling differ between the two.
- Hands-on experience with AWS DynamoDB, RDS, SQS (or an equivalent cloud provider) in production environments.
- Experience with microservices patterns (service discovery, API gateway, messaging/queueing, data partitioning).
- Experience with automated testing at multiple levels.
- Strong Git skills and hands-on experience with GitHub Actions for CI/CD.
- Strong troubleshooting skills for distributed systems in production.
- Solid understanding of cloud-native architecture and AWS best practices.
- Familiarity with observability tooling and practices (OpenTelemetry, structured logging, distributed tracing, metrics-based alerting) to support proactive issue detection.
Desirable Skills
- Familiarity with containerization (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 / Chromatography Data Systems (CDS) e.g., Waters Empower, Thermo Chromeleon, Cytiva UNICORN, Agilent OpenLab, along with knowledge of instrument integration pattern and practices is a strong plus.
Soft Skills Needed:
- Excellent verbal and written communication.
- Strong collaboration skills in cross-functional teams.
- Analytical mindset with high attention to detail.
- Mission-driven: your infrastructure directly enables scientific drug development processes that save and extend lives.
- Builder culture: everyone ships — engineers, managers, and leadership. No passengers.
- Technically ambitious: we are rebuilding how science-grade data infrastructure works, not deploying off-the-shelf solutions.
- AI-first: we apply AI across every layer of the platform today, not as a future roadmap item.
- Competitive compensation, meaningful equity, and strong benefits.
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
No visa sponsorship is available for this position
The salary range for this position is $170,000-$220,000 USD. The salary range posted reflects our target baseline for this role. Final compensation is determined by a thorough evaluation of factors including the candidate’s specific experience, localized market data, and internal team equity.
Skills Required
- Proficiency in backend service development using C#/.NET
- Proficiency in TypeScript and React for front-end development
- Experience building and operating software in on-premises/customer-hosted and cloud-native multi-tenant environments
- Hands-on experience with AWS DynamoDB, RDS, and SQS in production
- Experience with microservices patterns (service discovery, API gateway, messaging/queueing, data partitioning)
- Experience with automated testing at unit, integration, contract, and end-to-end levels
- Strong Git skills and hands-on experience with GitHub Actions for CI/CD
- Strong troubleshooting and production debugging skills for distributed systems
- Solid understanding of cloud-native architecture and AWS best practices
- Familiarity with observability tooling and practices (OpenTelemetry, distributed tracing, structured logging, metrics-based alerting)
- Excellent verbal and written communication and collaborative skills
- Analytical mindset with high attention to detail
- Familiarity with containerization (Docker)
- Experience defining AWS infrastructure using CloudFormation or AWS CDK
- Experience with scientific instrument software / Chromatography Data Systems (e.g., Waters Empower, Thermo Chromeleon, Cytiva UNICORN, Agilent OpenLab)
- Experience with performance tuning and designing scalable solutions
What We Do
Biopharma R&D runs on data trapped in silos. Every instrument, ELN, and LIMS writes results in its own format, so most of what a scientist learns in one experiment never reaches the next. That's a big reason drug development costs keep climbing even as computing power gets cheaper. TetraScience builds Tetra OS, the operating system for scientific intelligence. It sits above and alongside a company's existing instruments, ELNs, and LIMS, works across any vendor, and turns raw scientific data into structured, AI-ready intelligence. Four components make it work. The Scientific Data Foundry ingests data from any source and converts it into governed, machine-readable data at scale. The Scientific Use Case Factory turns one-off workflows into reusable, validated ones deployed across sites. Tetra AI reasons and orchestrates on top of that foundation, grounded in real data instead of guessing. Sciborg teams, our embedded scientist-engineers, work inside customer organizations to get all of it adopted, not just installed. These parts compound. Better data makes workflows faster to build. Workflows generate better data. The result is intelligence that gets more valuable with use instead of resetting on every new project. Customers include Takeda, Bayer, Regeneron, Roche and and AstraZeneca, alongside partners like NVIDIA, Databricks, and Thermo Fisher Scientific. One top-20 pharma customer connected over 1,000 instruments, processed a petabyte of data in a year, and cut 20,000 hours of administrative work. Founded by Patrick Grady and Spin Wang, headquartered in Boston with a European base in Basel. Mission: radically improve and extend human life.
Why Work With Us
We're building the operating system underneath scientific R&D, not another point tool. Work touches real drug development at Takeda, Bayer, and Novartis. Every employee sees the same financials the board sees. We hire people who reason from first principles and run at hard problems.
Gallery
