1 day ago
Hoofddorp, NetherlandsSenior
Responsibilities
- Design and assess serverless compute architectures for AI workloads.
- Implement scalable Azure Databricks Serverless environments.
- Develop and maintain CI/CD pipelines in Azure DevOps for AI and Databricks workloads.
- Ensure reliability, observability, monitoring, alerting, and optimization of Databricks and serverless services.
- Collaborate with Data Science, Cloud Engineering, and DevOps teams to operationalize AI models and provide technical consultancy and best practices.
- Support AI SDK development, data masking, PII detection, document intelligence, and enterprise AI governance.
Requirements
- Proven experience designing and deploying AI/ML and data engineering solutions on Azure.
- Deep understanding of Azure Databricks architecture and serverless compute capabilities.
- Hands-on experience with Azure Functions, Event Grid, and Logic Apps.
- Proficiency in Python, PySpark, and SQL for data engineering and model integration.
- Strong knowledge of CI/CD, MLOps, Infrastructure-as-Code, Azure DevOps, and Terraform.
- Understanding of cloud cost management, scaling strategies, workload optimization, enterprise security, data protection, and AI compliance requirements.
- Ability to design and implement observability, monitoring, and alerting for Databricks Serverless environments.
- Experience integrating Mistral AI large language models into a corporate fintech environment is stated.
Benefits
- Hybrid-friendly work culture with well-being programs supporting financial, mental, physical, and social health.
- Career development support including personalized development goals, continuous feedback, certifications with Microsoft, Google, and Amazon, coaching, and hands-on learning opportunities.
- Inclusive culture focused on belonging, empathy, growth, and shared success.
About Kyndryl
Kyndryl is a public IT services company that designs, runs, and modernizes mission-critical infrastructure for large enterprises and governments. Spun off from IBM in 2021, it is headquartered in New York City and trades on the NYSE (ticker: KD). The company provides managed infrastructure, cloud migration and operations across AWS, Azure, and Google Cloud, plus mainframe, network, security, data, and digital workplace services.