You will establish and drive the standards, frameworks, and best practices that underpin the Site Reliability Engineering (SRE) function. Working collaboratively across multiple technology teams and closely with the Service Assurance organization, you will ensure the consistent adoption of reliability, observability, and operational excellence disciplines while fostering a culture of continuous improvement and cross-functional collaboration. You will actively contribute to the design, development, and validation of Generative AI models within the AWS cloud environment, creating scalable baseline frameworks that support and accelerate Product Development Lifecycle (PDLC) optimization initiatives across the organization.
The role is responsible for ensuring the use of AI and big data to aggregate observational data (from monitoring systems output, job logs, syslog, etc.) and engagement data (from ticketing, incident, and event recording system data) to produce a virtuous circle of continuous insights yielding continuous improvements and fixes.
This role will lead the implementation of state-of-the-art AI and Generative AI techniques to unlock value from enterprise data, developing cutting-edge approaches that improve operational efficiency and decision-making. Leveraging a combination of technical expertise, analytical judgment, and experimentation, the role will evaluate, select, and implement the most effective technologies, methodologies, and solutions to support business objectives and accelerate continuous improvement initiatives.
What You’ll Be Doing
• Explore, understand, and implement the most recent machine learning algorithms
📌 Cloud Engineering Specialist (Bengaluru)
🏢 BT Group
📍 Bengaluru
Reply to this offer
Impress this employer describing Your skills and abilities, fill out the form below and leave Your personal touch in the presentation letter.