16 hours ago
Hoofddorp, NetherlandsSenior
Responsibilities
- Design and assess serverless compute architectures for AI workloads.
- Implement and maintain scalable Azure Databricks Serverless environments.
- Develop and maintain Azure DevOps pipelines for AI and Databricks workloads.
- Design observability, monitoring, alerting, reliability, and optimization capabilities for Databricks and serverless services.
- Collaborate with Data Science, Cloud Engineering, and DevOps teams to operationalize AI models and establish technical best practices.
- Support AI SDK development, data masking, PII detection, document intelligence, and enterprise governance capabilities.
Requirements
- Proven experience designing and deploying AI/ML and data engineering solutions on Azure.
- Deep understanding of Azure Databricks architecture and serverless compute.
- Hands-on experience with Azure Functions, Event Grid, and Logic Apps.
- Proficiency in Python, PySpark, and SQL.
- Strong knowledge of CI/CD, MLOps, and infrastructure-as-code using Azure DevOps and Terraform.
- Understanding of cloud cost management, scaling strategies, workload optimization, enterprise security, data protection, and compliance.
- Ability to implement observability, monitoring, and alerting for Databricks Serverless environments.
- Experience integrating Mistral AI large language models into a corporate fintech environment.
Benefits
- Hybrid-friendly work culture.
- Financial, mental, physical, and social well-being programs.
- Career-path tools, personalized development goals, coaching, continuous feedback, and hands-on development opportunities.
- Access to certification and learning opportunities with Microsoft, Google, and Amazon.
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.