Sr AI Back End Developer.

Seeking new possibilities and always staying curious we are a team dedicated to creating the world’s leading AI-powered cloud-native software solutions for our customers. Our renowned legacy creates endless global opportunities for our IBMers so the door is always open for those who want to grow their career.

We are seeking a skilled back-end developer to join our IBM Software team. As part of our team you will be responsible for developing and maintaining high-quality software products working with a variety of technologies and programming languages.

Your Role and Responsibilities
In this role you will be responsible for the following:

Required Technical and Professional Expertise
You will be required to have the following experience:

• 5+ years of experience in developing enterprise applications using Java Python Scala spark and related technologies with 2+ years a focus on Data Engineering DataOps MLOps.
• Knowledge of data best practices and ML/Dev operations in SaaS and hybrid environments.
• Hands-on experience with common distributed processing tools and languages Python Spark Hive Presto.
• Experience with specialized data architectures like data lake data mesh and optimizing data layouts for efficient processing.
• Strong understanding of data governance data security and data privacy best practices.
• Familiarity with pipeline orchestrator tools like Argo Kubeflow Airflow or other open source.
• Familiarity with platforms like Kubernetes and experience building on top of the native platforms.
• Excellent communication skills with the ability to effectively collaborate with technical and non-technical stakeholders.
• Experience with cloud-based data platforms and services (e.g. IBM AWS Azure Google Cloud).
• Ability to provide guidance to less experienced team members.

Preferred Technical and Professional Expertise

• Experience designing building and maintaining data processing systems working in containerized environments (Docker OpenShift k8s).
• Experience working with both batch and streaming data processing pipelines using workflow engines (Argo Tekton etc.).
• Experience developing or leveraging automated platforms for data observability data quality and drift and systems to automatically identify and correct data issues.