Lead DevOps Engineer, Cloud Products and Patterns

Role Summary

As a Machine Learning DevOPS Engineer for Cloud Products Framework group within our Infrastructure & Cloud team, you will play a crucial role in evangelizing and developing cloud product strategies, solutions, and best practices across the organization primarily to support machine learning capabilities. You will leverage your expertise to ensure strategic alignment, foster innovation, and drive the adoption of cutting‑edge cloud technologies.

Your leadership and vision will empower developers within LSEG to achieve seamless and efficient cloud infrastructure deployments, ensuring robust, secure and scalable cloud solutions.

• Demonstrates an extensive knowledge of technologies and/or thought leadership level of a technology, providing direction, mentoring and advising others on design, development and / or implementation best practice and processes
• Creates and implements technical solution designs and resolves issues
• Continues to build and demonstrates a breadth of knowledge of various domains within technology, understanding the linkages and dependencies of projects/work and the key senior stakeholders
• Supports technical roadmaps for the timely implementation of a technical solution strategy
• Develop technical strategy and research to enhance and scale machine learning related cloud product capabilities on Azure and AWS
• Design, build, and/or deliver ML models and components that tackle internal use cases
• Inform your ML infrastructure decisions using your understanding of ML modeling techniques and issues, including choice of model, data, and feature selection, model training, and validation.
• Evaluates how new technology or techniques may better implement the strategy, proposes patterns for its use and leads the development of reference code to set a standard
• Builds strong relationships with internal and external customers, growing own network and collaborating with other teams.
• Communicates complex / technical information clearly and concisely in an audience appropriate format.

• Must have a degree in Computer Science Engineering or equivalent work experience
• Solid understanding of IAC concepts
• Experience with Azure and AWS cloud platform
• Experience in leading or developing ML solutions
• Experience in Dev Ops practices, especially in machine learning model deployment.
• Hands‑on experience with CI/CD pipelines, code scanning tools, secrets management, Docker, and programming languages (Java/JavaScript, C#, Python)
• Experience on any one of - Git Hub, Git Lab
• Deep understanding of architecture principles and design methodologies
• Proven ability to adapt to new technologies and learn quickly
• Good communication skills and presentation skills
• Experience in Agile/Scrum methodology

Manager

• LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.

We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone's race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.