DevOps Engineer

Quick Facts

• Role: DevOps Engineer
• Focus: Cloud foundation for AI solutions (Azure-first; selective AWS support)

Description

Build and operate cloud-native infrastructure for AI use cases, agents, data products, and platform components. Ensure reliability, scalability, security, and production readiness through automation and platform engineering. Collaborate with cross-functional teams to design reusable patterns and improve operational maturity.

Responsibilities

• Build and operate cloud-native infrastructure for AI solutions, data pipelines, APIs, agents, and platform services.
• Create reusable infrastructure, deployment, observability, and environment patterns.
• Automate provisioning, configuration, CI/CD, monitoring, logging, secrets management, and cost controls for AI workloads.
• Support cloud architecture decisions for agentic workflows and model integrations.
• Collaborate with security and data protection teams to meet compliance standards.
• Onboard environments with local teams and troubleshoot deployments.
• Continuously improve platform reliability and operational maturity.

Requirements

• Experience with cloud-native development and deployment, particularly in Azure.
• Strong hands-on experience with infrastructure automation (IaC) and CI/CD.
• Solid engineering skills in Python and SQL (optionally TypeScript).
• Experience working in cross-functional, international teams.
• Understanding of enterprise data engineering concepts with hands-on experience.
• Proficiency using GenAI software engineering tools.
• Fluent English.

Benefits

• Opportunity to work in a dynamic environment supporting AI integration across multiple regions.