Teams at Xtremax

Design, deploy, and maintain AWS and hybrid infrastructure across development, staging, and production. Administer cloud, virtualization, container, monitoring, security, and Infrastructure as Code platforms. Improve reliability through SRE practices, automation, observability, disaster recovery, and resilience testing. Troubleshoot platform issues with development teams while maintaining documentation and runbooks.

Design and deploy production-ready agentic AI systems for public-sector fraud detection. Build LLM workflows for emerging risk identification and detection logic, integrate AWS and enterprise data platforms, and develop tested Python applications and APIs. Establish evaluation, monitoring, CI/CD, observability, governance, security, human oversight, and responsible-AI safeguards while collaborating with data scientists, analysts, engineers, and business stakeholders.

Build and operate reliable production ML and AI systems across AWS and Databricks. Responsibilities include developing MLOps components, productionizing models, creating data and feature pipelines, optimizing Spark and SQL workloads, automating CI/CD and retraining, implementing governance and security controls, and establishing monitoring, evaluation, rollback, and incident-response practices. The role also supports generative AI, recommendation, and search workloads while improving reusable engineering patterns and transferring knowledge to internal teams.