Teams at Pythian

Own and operate AWS infrastructure for RDS/Aurora using Terraform and CI/CD (GitLab/Harness). Troubleshoot and escalate pipeline/infrastructure issues, write RCAs, automate operational tasks with Python or Go, apply AWS security best practices, improve incident routing tooling, and maintain runbooks and operational documentation.

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.