HiringCafe
Posted 10mo ago

Senior Software Platform Engineer

@ TetraScience
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United States
RemoteFull Time
Responsibilities:design platform, build pipelines, maintain infra
Requirements Summary:7+ years in software and infrastructure engineering; production AI/ML infra; AWS and IaC (CDK); TypeScript/Python APIs; Databricks MLFlow; Docker; CI/CD; ECS; scalable, secure infra; strong communication.
Technical Tools Mentioned:AWS, CDK, Databricks MLFlow, Docker, CI/CD, ECS, CloudFormation, AWS Bedrock
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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.

What You will Do

We’re looking for a Senior AI Platform Engineer to help design, build, and scale our AI and data infrastructure. In this role, you’ll focus on architecting and maintaining cloud-based MLOps pipelines to enable scalable, reliable, and production-grade AI/ML workflows, working closely with AI engineers, data engineers, and platform teams. Your expertise in building and operating modern cloud-native infrastructure will help enable world-class AI capabilities across the organization.

If you are passionate about building robust AI infrastructure, enabling rapid experimentation, and supporting production-scale AI workloads, we’d love to talk to you.

  • Design, implement, and maintain cloud-native platform to support AI and data workloads, with a focus on AI and data platforms such as Databricks and AWS Bedrock.
  • Build and manage scalable data pipelines to ingest, transform, and serve data for ML and analytics.
  • Develop infrastructure-as-code using tools like Cloudformation, AWS CDK to ensure repeatable and secure deployments.
  • Collaborate with AI engineers, data engineers, and platform teams to improve the performance, reliability, and cost-efficiency of AI models in production.
  • Drive best practices for observability, including monitoring, alerting, and logging for AI platforms.
  • Contribute to the design and evolution of our AI platform to support new ML frameworks, workflows, and data types.
  • Stay current with new tools and technologies to recommend improvements to architecture and operations.
  • Integrate AI models and large language models (LLMs) into production systems to enable use cases using architectures like retrieval-augmented generation (RAG).