Senior Software Engineer, Agents at TetraScience

Matcha; Northern (KY); Hybrid; USD 170,000 - 220,000; Full time

Benefits offered by this job

Employer-paid benefits

Unlimited PTO

401K

Remote work options

Life Insurance

Job summary

TetraScience is seeking a Senior .NET Engineer to design and develop high-performance, scalable applications using C#, the .NET Framework, and TypeScript. You will implement automated testing and leverage GitHub Actions for CI/CD pipelines, while diagnosing production issues and optimizing performance in AWS-based services.

The role requires strong communication and collaboration across cross-functional teams, with a focus on observability using OpenTelemetry and robust operational excellence.

Qualifications

• Proficient in backend service development with C#/.NET.
• Proficient in TypeScript and React for front-end UI.
• Experience in on-premises and cloud-native multi-tenant environments, with debugging, deployment, and scaling differences.
• Hands-on experience with AWS DynamoDB, RDS, SQS in production.
• Experience with microservices patterns (service discovery, API gateway, messaging/queueing).
• Experience with automated testing at multiple levels.
• Strong Git skills and GitHub Actions for CI/CD.
• Strong troubleshooting skills for distributed systems in production.
• Knowledge of OpenTelemetry and observability practices.

Responsibilities

• Architect, design, and maintain distributed applications with high performance and security.
• Develop backend services (C#/.NET and TypeScript) and cloud APIs; build frontend apps with TypeScript/React.
• Design and implement loosely coupled microservices on AWS (DynamoDB, RDS, SQS, Lambda, API Gateway).
• Create and maintain automated unit, integration, and end-to-end tests across services and UI layers.
• Build and maintain CI/CD pipelines using GitHub Actions for backend and frontend.
• Diagnose and resolve production issues in distributed systems and optimize performance.
• Instrument services with OpenTelemetry for alerting and observability; contribute to SLOs.
• Collaborate with product managers and engineers to deliver reliable, scalable solutions.

Skills

C#/.NET backend

TypeScript

React

AWS

GitHub Actions

Testing

Production debugging

OpenTelemetry

Tools

AWS DynamoDB

AWS RDS

AWS SQS

AWS Lambda

API Gateway

CloudFormation

AWS CDK

Job description

ABOUT TETRASCIENCE

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.

In connection with your candidacy, you will be asked to carefully review 'The Tetra Way,' authored by our CEO, Patrick Grady; it is impossible to overstate the importance of this document, and you should take it literally as you decide whether our mission, culture, and expectations are right for you.

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.

What 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.

Why TetraScience

• 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.

• 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.