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Sopra Steria seeks passionate individuals for spontaneous applications in digital transformation and technology consulting. Opportunities for skill growth and collaboration abound in impactful projects. The Sopra Steria Academy offers development opportunities to fast-track potential.

As a Java React Full-Stack Module Lead, you will be responsible for developing and testing code based on functional specifications, maintaining software development standards, troubleshooting production issues, and implementing a delivery pipeline. Proficiency in ReactJS and Java frameworks is required.

The Pega Technical Lead is responsible for designing and developing complex PEGA applications, conducting code reviews, troubleshooting technical issues, and providing support to junior developers while adhering to PEGA best practices and contributing to upgrade programs and deployments.

The Control-M Consultant Lead Product Analyst is responsible for managing Control-M administration, creating/modifying jobs, developing and troubleshooting JCL scripts, and working in cloud environments. The role includes optimizing job workflows, documenting solutions, and providing support for critical issues, while fostering continuous improvement in job processes.

As a Cloud System Engineer, you will design, deploy, and manage scalable cloud environments, automate and maintain systems, and optimize infrastructure to meet business goals. You will utilize cloud platforms like Azure and AWS, and employ scripting and automation to streamline processes and enhance efficiency in cloud environments.

As a Senior GRC Architect, you will lead compliance projects, conduct risk assessments, develop risk management frameworks, ensure compliance with industry standards, and implement security policies. You'll also evaluate security technologies and foster a culture of security awareness through training.

As an AI Architect at Sopra Steria, you will translate business challenges into AI solutions, lead project teams, and collaborate with data scientists. Your responsibilities include developing AI architectures, choosing technologies, improving AI tools, and mentoring team members while ensuring legal and ethical guidelines are followed.