Senior Software Platform Engineer

Role Overview

Senior Software Platform Engineer (AI Platform) at TetraScience. You will design, build, and scale the company’s AI and data infrastructure, with a focus on cloud-native MLOps pipelines and production-grade AI/ML workflows.

Responsibilities

• Design, implement, and maintain cloud-native platform capabilities for AI and data workloads (including 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 CloudFormation and AWS CDK for repeatable, secure deployments
• Collaborate with AI engineers, data engineers, and platform teams to improve production reliability, performance, and cost efficiency of AI models
• Establish observability best practices for AI platforms (monitoring, alerting, logging)
• Help evolve the AI platform to support new ML frameworks, workflows, and data types
• Integrate AI models and LLMs into production systems, including architectures such as retrieval-augmented generation (RAG)
• Stay current with emerging tools and technologies to recommend architecture/operations improvements

Requirements

• 7+ years of professional experience in software engineering and infrastructure engineering
• Extensive production experience building and operating AI/ML infrastructure, including model, deployment, and lifecycle management
• Strong AWS knowledge and infrastructure-as-code frameworks (ideally AWS CDK)
• Expert coding skills in TypeScript and Python for building robust APIs and backend services
• Production experience with Databricks MLflow (e.g., model registration, versioning, asset bundles, model serving workflows)
• Expert understanding of containerization (Docker) and hands-on CI/CD experience; orchestration tools like ECS are a plus
• Ability to design reliable, secure, and scalable infrastructure for real-time and batch ML workloads
• Strong communication and collaboration skills across cross-functional teams

Nice to Have

• (Truncated in posting) Familiarity with additional related tools/technologies is implied, but details are not fully provided.