Senior Cloud Native OPS Engineer

• Architect & Build: Design and deploy cloud-native services for AI models and data pipelines using AWS and Terraform (Infrastructure as Code).
• Infrastructure Management: Oversee AWS Landing Zones, networking, gateways, and containerized services (Docker/Kubernetes).
• MLOps Excellence: Provide frameworks for training, storing, and monitoring models, focusing on both high-throughput batch processing and low-latency API delivery.
• Automation: Streamline workflows for data processing and model lifecycles using Python, Airflow, and Spark.
• Performance & Innovation: Optimize system capacity and costs, conduct root cause analysis for complex incidents, and introduce new technologies to improve existing processes.
• Collaboration: Partner with international stakeholders to translate business requirements into robust technical designs.

• Cloud & IaC: Strong proficiency in AWS (S3, Lambda, SageMaker, Kinesis) and Terraform.
• Development: Expert-level Python and experience with the broader Data Science ecosystem.
• Containers & CI/CD: Hands-on experience with Docker, Kubernetes, and CI/CD tooling (GitHub, BitBucket, Jenkins).
• Data Engineering: Familiarity with Apache Spark and Apache Airflow.
• AI/ML Interest: Exposure to Generative AI (GenAI), Large Language Models (LLM), and API Gateways.

Nice-to-Have:

• Experience with MLflow.
• Knowledge of Dutch (English is the primary requirement)., * Education: Master's degree in ICT, Engineering, or Business Engineering (focus on Informatics) or equivalent experience.
• Mindset: You are adaptive, analytical, and result-driven. You enjoy working in a team-oriented environment and are flexible enough to handle on-call rotations when necessary.
• Communication: Fluent in English with strong technical writing skills for documentation.

For our client active in the banking sector, we are looking for a Senior Cloud Native Ops Engineer with over 5 years of experience.