Teams at Pythian

Design, deploy, operate, and optimize large-scale distributed systems across cloud, compute, storage, networking, and AI/ML environments. Manage Kubernetes, Istio, Linux, monitoring, and observability platforms; automate workflows with Go, Python, and Shell; troubleshoot infrastructure issues; support AI/ML pipelines; and participate in on-call rotations and postmortems.

Leads the architecture, development, deployment, and optimization of enterprise AI/ML systems, including LLMs and generative AI. Provides technical leadership and mentorship, operationalizes models, implements MLOps, and integrates solutions across AWS, GCP, Azure, Docker, and Kubernetes. Partners with executives, clients, product managers, data scientists, and engineering teams to align AI roadmaps with business goals while ensuring scalable, monitored, cost-efficient, and production-ready systems.