Teams at Pythian

Develop, deploy, and maintain scalable AI/ML pipelines and production systems, including LLMs and generative AI models. Collaborate with data scientists, software engineers, architects, and clients to integrate AI capabilities into products. Optimize model performance, latency, and cost on AWS, GCP, and Azure, using Docker, Kubernetes, CI/CD, monitoring, versioning, and other MLOps practices.

Design, deploy, and operate large-scale distributed systems; manage Kubernetes, Istio, and Linux environments; automate workflows with Go/Python/shell; build observability with Prometheus/Grafana/Loki; troubleshoot networking, storage, and performance; participate in on-call rotations and postmortems; collaborate with AI/ML teams to ensure infrastructure readiness for model training and data pipelines.

Provide 24x7 NOC support for managed database and application infrastructure: monitor systems, respond to incidents, trigger operational procedures, escalate per protocol, perform daily proactive checks, troubleshoot and maintain servers, communicate status to customers, participate in shift rotations and on-call coverage, and contribute automation and process improvements.