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The role involves analyzing functional requirements, developing solution designs, documenting application architecture, and proposing architecture changes. It requires collaboration in Agile settings and communication with diverse teams while focusing on quality deliverables.

The role involves developing cloud-based applications, building REST APIs, designing ETL pipelines, managing AWS services, and ensuring quality through testing.

The AI/ML Engineer will design and deploy AI pipelines, integrating LLMs into production, and develop scalable machine learning systems while collaborating with stakeholders and data engineers.

The Senior Application Support Engineer ensures application stability, leads incident resolution, develops automation scripts, and applies DevOps best practices.

The DevOps Engineer will manage AWS infrastructure, enhance automation, security, and backup strategies, and collaborate with engineering teams to optimize deployment cycles.

Design and optimize scalable data architectures, build data pipelines, implement data processing frameworks, and ensure data integrity and security in a collaborative environment.

Seeking a Senior Application Support Engineer to ensure application stability and performance by providing technical support, managing systems, and applying DevOps principles.

Lead the design and governance of enterprise data architecture, implement data solutions, and manage data quality and governance standards. Mentor teams and collaborate with stakeholders.

Lead the design and governance of the enterprise data ecosystem, including Data Lakes, Data Warehouses, and data integration platforms, while ensuring data quality and security standards are met.

The role involves managing RHEL environments, automating tasks with Ansible, scripting in Bash and Python, and ensuring system performance and security.