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# Lead DevOps Engineer, Cloud Products and Patterns

- **Company:** LSEG (London Stock Exchange Group)
- **Location:** Creve Coeur, MO, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), JavaScript (Programming Language), Amazon Web Services, Microsoft Azure, C Sharp (Programming Language), Cloud Computing, Code Review, Computer Engineering, DevOps, Github, Python (Programming Language), Key Management, Machine Learning, Scrum Methodology, Cloud Services, Gitlab, Feature Selection, Machine Learning Operations, Docker, Programming Languages
- **Published:** August 9, 2026
- **Apply:** https://jobs.localjobnetwork.com/apply/add/83374338/1

## About the Role

* 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 DevOps 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 - GitHub, GitLab
 * 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

## Description

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

What you'll be doing:

 * 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.


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