Adobe CDP Architect
Vancouver, BCCapgemini
7+ ansCandidates need 7-10+ years in customer data, marketing technology or enterprise architecture, including 3+ years hands-on with Adobe Real-Time CDP and Adobe Experience Platform. Strong data modeling, integration, privacy regulation knowledge and client-facing leadership skills are required.
Adobe Experience Platform, Adobe Real-Time CDP, Adobe Journey Optimizer, Adobe Target, Customer Journey Analytics, SAP
Delivery Executive
Vancouver, BCCapgemini
Candidates need significant experience leading complex technology delivery or managed services for enterprise clients, and a portfolio-level view. They need working knowledge of cloud-native architecture, APIs, DevOps and integration platforms such as MuleSoft, plus commercial and client-facing skills.
MuleSoft Anypoint Platform, Azure, AWS
Sr. .Net developer
Montréal, QCCapgemini
5+ ansCandidates need 5+ years of hands-on .NET development experience, strong C# and .NET Core skills, and experience with REST/SOAP APIs and security mechanisms like OAuth and Active Directory. Strong troubleshooting, CI/CD, Agile teamwork, and communication skills are also required.
Windows Server, OpenShift, Git, Active Directory
Senior Data Engineer
Calgary, ABCapgemini
Candidates need strong, expert-level PySpark and hands-on experience with Databricks, Azure Data Factory or Airflow, and SQL. They also need experience with denormalized data modeling for big data systems.
Databricks, Jupyter Notebooks, Azure Data Factory, Delta Lake
SAP S/4HANA Solution Architect
Mississauga, ONCapgemini
20+ ansCandidates need at least 20 years of SAP experience, including five end-to-end implementations and several S/4HANA transformations. They need strong Utilities industry knowledge, deep expertise in integration and data migration, and the ability to communicate with executives.
SAP S/4HANA, SAP IS-U
Senior Machine Learning Systems Engineer, LLM Inference Performance on AWS Trainium
Toronto, ONCapgemini
5+ ansCandidates need 5+ years in machine learning or systems engineering, with 2+ years on production model inference. They must be strong in Python and PyTorch and have hands-on experience with an LLM serving framework.
PyTorch, vLLM, AWS Trainium, AWS Neuron SDK, TensorRT-LLM, SGLang