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The Site Reliability Engineer (SRE) will focus on enhancing the efficiency, reliability, and automation of ETSS production services. Key responsibilities include contributing to SRE product execution, automating processes, implementing monitoring solutions, and supporting production-bound software within Capital Markets. The role requires collaboration with application development and DevOps teams while maintaining a strong sense of ownership and commitment to production support.

The Senior IAM Systems Engineer will lead the development and implementation of authentication services and IAM policies, manage project timelines, and foster a high-performing team culture. Responsibilities include requirement gathering, solution design, and ensuring performance, scalability, and security of identity management systems.

The Senior Axiom Developer will design and enhance Axiom tools for UK regulatory reporting, optimize processes, review SQL for performance, collaborate on development, and manage unit tests and implementations, while participating in improvement practices within the Axiom SME community.

Lead DB2 z/OS database projects, provide DBA support, optimize database design, ensure compliance with SLAs, and give technical support for applications. Oversee DB2 upgrades and lead application development in usage of transaction management technologies.

The Senior Manager - SDET will lead the implementation of automated testing frameworks, optimize test case designs, and ensure Quality Engineering practices are executed. Responsibilities include coordinating E2E testing, collaborating with stakeholders, and automating test cases in an Agile environment. The role requires strong analytical skills to assess risks and enhance test strategies.

The Senior Application Support Analyst will maintain the Sophis application for equity derivatives, ensuring stability and availability while supporting front, middle, and back offices. Responsibilities include issue resolution, software releases, data quality oversight, and cross-team coordination.

The Staff Data Scientist will work with large text data, performing data extraction, cleaning, processing, and analysis. Responsibilities include running experiments on AWS Sagemaker, deploying models, and collaborating with data engineers and stakeholders on high-impact projects in Generative AI and Natural Language Processing.