Collaborate with AWS Product and Technical teams to create solutions that solve customer problems, including reference architectures, patterns, automation, and release plan.
Guide and Support an AWS internal community of technical subject matter experts aligned to your domains. Create field enablement materials for the broader SA population to help them understand how to integrate new AWS solutions into customer architectures.
Build technical relationships with decision makers and builders with startups operating as their trusted advisor, ensuring they include best practices for adopting AWS AI services for their inferencing and agentic workloads.
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Negotiate and implement complex supplier agreements and contracts by working with cross-functional stakeholders.
Develop negotiations strategies to deliver against business objectives and achieve sustainable relationship with suppliers.
Responsible to provide weekly team updates, deliver executive level updates on a monthly basis, and will be responsible for vendor escalations in order to resolve any issues related to his/her category.
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• Build and manage cloud infrastructure and serverless solutions on AWS (Lambda, API Gateway, S3, EC2, etc.).
• Write and maintain Unix shell scripts for automation, deployments, and operational tasks. • Develop and optimize database scripts for PostgreSQL and MySQL, ensuring performance, integrity, and scalability. •
Support and enhance payment and wallet platforms: Maxis Pay, eTUB, CTP, uMarket, and Retail Pay.
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Manage infrastructure as code (IaC) using Terraform or CloudFormation to provision and optimize AWS resources, such as EC2 instances, S3 buckets, EMR for Apache Spark-based processing (supporting our PMA product), and ECS/EKS for containerized deployments.
Implement comprehensive monitoring, logging, and alerting systems with CloudWatch, X-Ray, and third-party tools (e.g., Prometheus/Grafana integrations) to track model performance, detect anomalies, handle concept drift, and ensure high availability for customer-facing tools like Q&A chatbots and predictive maintenance advisors.
Collaborate in an Agile environment with ML engineers, data scientists, and SRE teams to conduct A/B testing, version models, automate rollbacks, and optimize costs through auto-scaling and spot instances.
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