platform engineer for AI data workflows

Описание

DeepL is a global AI product and research company focused on secure, intelligent solutions for complex business problems. Its Language AI platform provides human-like translation, improved writing, and real-time voice translation for individuals and businesses worldwide.

Задачи

• Build and evolve data platform infrastructure, including the Databricks-based lakehouse, Kafka consumers, and foundational tooling for data engineers
• Support and extend dlt to make data ingestion patterns reusable and robust
• Make technical decisions that enable the platform to scale with DeepL’s data volume and use-case diversity
• Build connectors, interfaces, and integrations that bring data to humans and AI agents, including MCP connectors and workflow skills
• Design AI-powered data workflows for data engineers, analysts, business teams, and AI tools
• Implement data observability, quality frameworks, monitoring, and alerting
• Own infrastructure-as-code, CI/CD for data workflows, access management, security configurations, audit trails, and spend governance
• Build golden-path templates and patterns that help engineers across the company use data safely and efficiently

Требования

• Hands-on experience building and operating cloud-based data infrastructure
• Experience with Terraform/Terragrunt, CI/CD for data workflows, and Docker/Kubernetes
• Production-quality Python proficiency
• Reliability mindset, including observability, meaningful alerts, production ownership, and incident-driven improvements
• Platform-product mindset focused on developer experience and reducing friction for platform users
• Communicates effectively across different audiences and actively uses feedback from data consumers
• Actively uses AI-powered tools to move faster and focus on architecture, system design, and scalability tradeoffs
• Nice to have: experience with Databricks, Apache Iceberg, Kafka, or similar lakehouse and streaming technologies

Условия

• Hybrid work schedule with office attendance twice a week and flexible working hours
• Virtual Shares for every employee
• Regular in-person team events
• Monthly full-day hacking sessions
• 30 Days of annual leave excluding public holidays
• Mental health resources
• Competitive benefits tailored to the employee’s location