TetraScience Logo

TetraScience

Senior Software Engineer, Agents

Posted 3 Months Ago
In-Office
San Mateo, CA, USA
170K-220K Annually
Senior level
In-Office
San Mateo, CA, USA
170K-220K Annually
Senior level
Design, build, and operate high-performance, distributed .NET and TypeScript/React applications and cloud APIs. Implement microservices on AWS, automated testing, GitHub Actions CI/CD, observability with OpenTelemetry, and diagnose production issues to ensure scalable, reliable systems.
The summary above was generated by AI
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.

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.
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.

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.

Similar Jobs

Yesterday
In-Office
Mountain View, CA, USA
120K-261K Annually
Senior level
120K-261K Annually
Senior level
Software • Quantum Computing • Metaverse • Infrastructure as a Service (IaaS)
Build and operate secure, scalable cloud services and APIs for Microsoft’s Agent 365 platform. Own features end to end across architecture, implementation, deployment, monitoring, and production support. Develop agent governance, identity, lifecycle, registry, and orchestration capabilities while collaborating across teams. Apply strong security, reliability, observability, testing, and operational practices, diagnose production issues, influence technical design, and mentor engineers.
Top Skills: CC#C++Distributed SystemsEvent-Driven ArchitecturesJavaJavaScriptLlm-Based SystemsMicrosoft 365AzureMicrosoft Entra IdMicrosoft GraphPower PlatformPythonRest ApisTypescript
Yesterday
In-Office
Palo Alto, CA, USA
150K-250K Annually
Senior level
150K-250K Annually
Senior level
Artificial Intelligence
Build and own full-stack features for an agentic procurement platform, including React and TypeScript interfaces, backend services, APIs, data models, and agent orchestration. Develop human-agent collaboration interfaces, integrate LLMs and external tools, and create evaluation, tracing, and observability systems. Use coding agents throughout development while maintaining production standards for security, testing, reliability, deployment, monitoring, and performance. Contribute to architecture, sprint planning, and technical direction.
Top Skills: Background JobsCcpaCi/CdClaude CodeCloud InfrastructureContainersCursorGdprGithub CopilotGraphQLIso 27001:2022LlmsModel Context ProtocolQueuesReactRelational DatabasesRestServer-Sent EventsSoc 2 Type 2TypescriptWebsockets
2 Days Ago
In-Office
San Francisco, CA, USA
200K-240K Annually
Senior level
200K-240K Annually
Senior level
Artificial Intelligence • Information Technology • Logistics • Software • 3PL: Third Party Logistics • Industrial • Manufacturing
Build and deploy production AI agent systems for industrial supply chain workflows. Responsibilities include agent harnesses, tool use, sub-agents, retrieval, structured outputs, MCP servers, orchestration, evaluation frameworks, prompt engineering, backend services, APIs, data models, and integrations with customer WMS, TMS, and ERP systems. The role partners with customers, operators, product, and engineering teams to develop and scale reliable agent solutions.
Top Skills: ErpLarge Language Models (Llms)McpNode.jsPostgresPythonTmsTypescriptWms

What you need to know about the San Francisco Tech Scene

San Francisco and the surrounding Bay Area attracts more startup funding than any other region in the world. Home to Stanford University and UC Berkeley, leading VC firms and several of the world’s most valuable companies, the Bay Area is the place to go for anyone looking to make it big in the tech industry. That said, San Francisco has a lot to offer beyond technology thanks to a thriving art and music scene, excellent food and a short drive to several of the country’s most beautiful recreational areas.

Key Facts About San Francisco Tech

  • Number of Tech Workers: 365,500; 13.9% of overall workforce (2024 CompTIA survey)
  • Major Tech Employers: Google, Apple, Salesforce, Meta
  • Key Industries: Artificial intelligence, cloud computing, fintech, consumer technology, software
  • Funding Landscape: $50.5 billion in venture capital funding in 2024 (Pitchbook)
  • Notable Investors: Sequoia Capital, Andreessen Horowitz, Bessemer Venture Partners, Greylock Partners, Khosla Ventures, Kleiner Perkins
  • Research Centers and Universities: Stanford University; University of California, Berkeley; University of San Francisco; Santa Clara University; Ames Research Center; Center for AI Safety; California Institute for Regenerative Medicine

Sign up now Access later

Create Free Account

Please log in or sign up to report this job.

Create Free Account