Lead DevOps Engineer, Foundry RnD — MasterCard (Nairobi)

Lead DevOps Engineer, Foundry RnD

Job Description

The Lead DevOps Engineer for Foundry RnD is a high-level technical role responsible for driving the platform infrastructure that supports advanced MLOps and agentic AI systems. This position focuses on establishing reusable patterns for CI/CD, scalable inference, and sophisticated orchestration to empower research and development teams. As a lead engineer, you will own the infrastructure strategy, ensuring that the development environment is observable, scalable, and resilient enough to handle cutting-edge artificial intelligence and machine learning workloads.

Key Responsibilities

• Lead the design and implementation of platform infrastructure specifically for MLOps and agentic AI systems
• Establish and enforce reusable patterns for CI/CD pipelines to streamline deployment of complex AI models
• Build and maintain scalable inference systems and orchestration frameworks to support high-performance workloads
• Implement robust observability and monitoring solutions to ensure system reliability and performance tracking
• Collaborate with RnD teams to optimize resource utilization and infrastructure automation
• Manage cloud-native environments and container orchestration platforms (e.g., Kubernetes) for AI research
• Direct the evolution of infrastructure security and data protection protocols within the RnD environment
• Provide technical leadership and mentorship to junior DevOps engineers on emerging cloud technologies

Qualifications & Experience

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related technical field
• 7+ years of experience in DevOps or Platform Engineering within a large-scale production environment
• Significant experience with MLOps frameworks and deploying machine learning models at scale
• Expert knowledge of cloud providers (AWS, Azure, or GCP) and Infrastructure as Code (Terraform, CloudFormation)
• Advanced proficiency in Kubernetes, Docker, and sophisticated CI/CD toolsets
• Proven track record of building observability stacks (Prometheus, Grafana, ELK)
• Exceptional problem-solving skills and experience in research-driven or innovative tech environments

Method of Application

Apply via:  MasterCard on careers.mastercard.com