Senior Platform Engineer with MLOps and Databricks

📋 Description

• Design and maintain a cloud-native AI/data platform (Databricks, AWS Bedrock).
• Build scalable data pipelines for ML and analytics.
• IaC with CloudFormation and AWS CDK for repeatable, secure deployments.
• Collaborate with AI/data engineers to improve AI model performance and cost-efficiency.
• Drive observability: monitoring, alerting, logging for AI platforms.
• Integrate AI models and LLMs into production using RAG architectures.

🎯 Requirements

• 7+ years of software and infrastructure engineering experience.
• Extensive production AI/ML infrastructure experience (model, deployment, lifecycle).
• Strong AWS and IaC knowledge, ideally with CDK.
• Expert TypeScript and Python coding for APIs and backends.
• Databricks MLFlow experience: model registration/versioning and serving workflows.
• Experience with Docker, CI/CD pipelines, and ECS.

🎁 Benefits

• Flexible remote-first work environment.
• Global team with English as the daily language.
• Wellbeing focus: fitness, mental health plans, generous time off.
• Career growth and development opportunities.
• Equal opportunity employer with values like collaboration.