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Senior Software Platform Engineer

1 month, 1 week ago
United States
Full-time
Senior
Machine Learning Engineer
Software Development
AWS AWS CDK CI/CD CloudFormation Databricks Docker LLM MLOps OpenSearch Python TypeScript
Apply Now
TetraScience

TetraScience

TetraScience is the only vendor neutral, open, cloud native platform purpose built for science, providing next generation lab data automation and scientific data management to accelerate scientific discovery and improve human life.

Biotechnology
51-250
Founded 2019
$99M raised
View All Jobs 5

Description

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

Requirements

  • 7+ years of professional experience in software engineering and infrastructure engineering.
  • Extensive experience building and maintaining AI/ML infrastructure in production, including model deployment and lifecycle management.
  • Strong knowledge of AWS and infrastructure-as-code frameworks, ideally AWS CDK.
  • Expert-level coding skills in TypeScript and Python for robust APIs and backend services.
  • Production-level experience with Databricks MLflow, including model registration, versioning, asset bundles, and model serving workflows.
  • Expert-level understanding of containerization with Docker.
  • Hands-on experience with CI/CD pipelines; orchestration tools such as ECS are a plus.
  • Proven ability to design reliable, secure, and scalable infrastructure for real-time and batch ML workloads.
  • Ability to communicate ideas clearly, present findings persuasively, and build rapport with clients and team members.
  • Strong collaboration skills and ability to partner effectively with cross-functional teams.
  • Familiarity with emerging LLM frameworks such as DSPy is a plus.
  • Understanding of LLM cost monitoring, latency optimization, and usage analytics in production environments is a plus.
  • Knowledge of vector databases or embedding stores such as OpenSearch to support semantic search and RAG is a plus.

Benefits

  • 100% employer-paid benefits for eligible employees and immediate family members.
  • Unlimited paid time off (PTO).
  • 401(k) retirement plan.
  • Flexible working arrangements, including remote work.
  • Company-paid life insurance, LTD, and STD coverage.
  • A culture of continuous improvement with career growth and coaching opportunities.
  • No visa sponsorship currently available for this position.

Interested in this position?

Apply directly on the company website

Apply Now

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