Pythian
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Cloud • Analytics
Own end-to-end data platform architecture and implementation, including ingestion, lakehouse and warehouse layers, transformations, dimensional and semantic models, governance, access controls, and analytics delivery. Build and deploy Spark and SQL pipelines, data models, and integrations across databases, SaaS applications, APIs, files, and legacy systems. Select and implement Databricks, Microsoft Fabric, or both based on client requirements, while applying CI/CD, testing, and version control practices.
Cloud • Analytics
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.
Cloud • Analytics
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.
Cloud • Analytics
Lead and mentor an SRE team to deliver reliable, automated, scalable operations for enterprise clients. Own incident escalation, 24/7 management on-call support, SLA achievement, CI/CD and IaC practices, client technical advisement, performance reviews, resource planning, and continuous improvement.
Cloud • Analytics
Provide advanced PostgreSQL consulting and administration: design and implement DB solutions, ensure HA and DR, perform backups and PITR, monitor and optimize performance, lead migrations and infrastructure improvements, troubleshoot incidents, produce client documentation and reports, participate in on-call rotation, and drive process and monitoring improvements for managed-service clients.
Cloud • Analytics
Provide 24/7 enterprise network support and escalations for global clients, administer and troubleshoot multi-vendor LAN/WAN infrastructures, implement security controls, perform IOS/firmware upgrades, coordinate with ISPs and onsite teams, document incidents and RCA, and lead remediation for affected endpoints.
