Site Reliability Engineer (SREs)- Sagemaker and AI/ ML

Objectives of this role:

• Run the production environment by monitoring availability and taking a holistic view of system health.
• Build software and systems to manage platform infrastructure and applications.
• Improve reliability, quality, and time-to-market of our suite of software solutions.
• Measure and optimize system performance, with an eye toward pushing our capabilities forward, getting ahead of customer needs, and innovating for continual improvement.
• Provide primary operational support and engineering for multiple large-scale distributed software applications.

Responsibilities:

• Gather and analyse metrics from operating systems as well as applications to assist in performance tuning and fault finding.
• Partner with development team, Data Scientist, MLOps Architect/Engineers to improve services through rigorous testing and release procedures.
• Participate in system design consulting, platform management, Troubleshooting production issues and capacity planning.
• Create/manage sustainable systems and services through automation and uplifts.
• Balance feature development speed and reliability with well-defined service-level objectives

Required skills and qualifications:

• Ability to program (structured and OOP) using one or more high-level languages, such as Python, Java, C/C++, Ruby, and JavaScript
• Experience in working with such as Amazon S3, Sagemaker, Amazon Bedrock
• Excellent knowledge working with cloud-native infrastructure, such as AWS Lambda, OpenShift
• Good understanding of API management and should be able to troubleshoot API related issues.
• Automation Mindset to manage cloud infrastructure using AWS CloudFormation/Terraform
• Impeccable creative and communication skills.
• Ability to problem solve in a fast-paced, high-stakes environment.
• Proactive approach to identifying problems, performance bottlenecks, and areas for improvement.