Director - Cloud Engineering

Mastercard
O'Fallon, MissouriPosted 22 March 2026

Job Description

Our Purpose Mastercard powers economies and empowers people in 200 countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can prosper. We support a wide range of digital payments choices, making transactions secure, simple, smart and accessible. Our technology and innovation, partnerships and networks combine to deliver a unique set of products and services that help people, businesses and governments realize their greatest potential. Title and Summary Director - Cloud Engineering Overview We are seeking an experienced and highly motivated Director of Cloud Engineer to join Mastercard’s Cloud Platform Engineering organization. In this role, you will design, build, and evolve Mastercard’s cloud platforms—on either AWS, Azure, or both, depending on your background. You will deliver secure, scalable, automated cloud capabilities that accelerate development across Mastercard. This role requires deep cloud platform expertise, strong engineering fundamentals, and excellent leadership skills. f AWS‑Focused Design and maintain a multi‑account AWS platform using services such as Organizations, VPC, IAM, EKS, EC2, S3, RDS, MSK, Glue, EMR, Lambda, and Route 53. Build AWS infrastructure using AWS CDK and CloudFormation. Implement secure connectivity patterns (Transit Gateway, PrivateLink, Direct Connect). Configure platform governance using AWS Control Tower, SCPs, IAM, and Landing Zones. Improve AWS platform lifecycle, operational maturity, and automation. If Azure‑Focused Implement automated provisioning of Mastercard's Azure environment using Terraform and Bicep (Azure’s native IaC language). Design, develop, and deploy software systems using Azure services (VNet, AKS, Azure Storage, Azure SQL, Event Hub, Data Factory, etc.). Lead architectural decisions and platform design patterns for Azure cloud solutions. Implement Azure governance, policies, and security best practices. Troubleshoot complex Azure infrastructure, networking, and deployment issues. Support application teams with Azure scaling, performance tuning, automation, and self‑service enablement. Shared (AWS or Azure) Lead architecture discussions, code reviews, design reviews, and cross‑team technical decisions. Champion reliability, automation, and DevOps/SRE best practices. Drive incident response, root‑cause analysis, and continuous improvement. Mentor engineers and elevate technical excellence across cloud teams. Ensure cloud best practices for logging, monitoring, and alerting. Build reusable patterns, guardrails, and self‑service capabilities to accelerate development. All About You Required Qualifications 7+ years of experience in cloud engineering, platform engineering, or large‑scale distributed systems. Deep hands‑on experience with AWS OR Azure (either expertise is acceptable). Strong proficiency with Infrastructure‑as‑Code: AWS: CDK / CloudFormation Azure: Terraform AND/OR Bicep Strong understanding of cloud networking (VPC/VNet, private endpoints, hybrid connectivity). Experience with CI/CD and build/deployment tooling (Jenkins, CodePipeline, GitHub/BitBucket, Artifactory, SonarQube). Strong programming background (Python, Java, Go) and scripting skills (Python, Bash, PowerShell). Experience designing and troubleshooting highly available, distributed systems. Ability to debug, optimize, automate, and drive engineering excellence. Strong communication and leadership skills. Preferred Qualifications AWS or Azure cloud certifications (Solutions Architect, DevOps Engineer, SysOps, etc.). Experience with container orchestration (EKS or AKS). Experience implementing AWS Control Tower or Azure Landing Zone equivalents. Experience with data engineering workloads (Glue/EMR or Data Factory/Synapse). Familiarity with Windows and Linux internals. Advanced degree in Computer Science or related field. Mastercard is a merit-based, inclusive, equal opportunity employer that considers applicants ... (truncated, view full listing at source)
Apply Now

Direct link to company career page

AI Resume Fit Check

See exactly which skills you match and which are missing before you apply. Free, instant, no spam.

Check my resume fit

Free · No credit card

Share