TetraScience is the Scientific Data and AI Cloud company catalyzing the Scientific AI revolution. We are looking for a Senior Software Platform Engineer to help design, build, and scale our AI and data infrastructure.
Key Responsibilities
Design, implement, and maintain cloud-native platform to support AI and data workloads
Build and manage scalable data pipelines for ML and analytics
Develop infrastructure-as-code using tools like Cloudformation, AWS CDK
Collaborate with AI engineers, data engineers, and platform teams to improve performance and reliability
Drive best practices for observability and monitoring
Integrate AI models into production systems
Required Qualifications
7+ years of professional experience in software and infrastructure engineering
Extensive experience in AI/ML infrastructure in production
Strong knowledge of AWS, CDK, TypeScript, and Python
Production-level experience with Databricks MLFlow
Expertise in containerization, CI/CD pipelines, and orchestration tools
Proven ability to design reliable and scalable infrastructure
Please let TetraScience know that you found this role at devopsprojectshq.com as a way to support us, so we can keep providing you with awesome DevOps jobs.
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