Want to professionalize your AI skills, pivot to an AI role and increase your salary?
Master AI Engineering with the most practical and comprehensive LLM Development certifications at Towards AI Academy.

Mastercard

Lead Cloud Engineer – Database Platform Engineering

Mastercard

Published 07 Jan 2026
O'Fallon, MO, USA
122K - 207K USD Annual
Part Time
Full Time

Share this job

Role Highlights

Languages used

S3
TypeScript
Python
SQL

Key skills

Prompt Engineering
CICD
Product Development
Distributed Systems
Cloud Infrastructure
DevOps Engineer
Cloud Environments
Information Security
Cloud Security
Incident Management
Database
IAM
Scripting
Reliability
Automation
Deployment
Architecture
Devops
NOSQL
Debugging
Optimization

Tools, Libraries and Frameworks

AWS
Azure
EKS
EC2
RDS
CDK
Terraform
Jenkins
GitHub
BitBucket
SonarQube
Splunk
PostGres
Oracle

Description

\\\\Our Purpose\\\\ \Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, were 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\\\\ Lead Cloud Engineer Database Platform Engineering Overview Mastercards Database Platform Engineering Team is seeking a highly skilled Lead Cloud Engineer to strengthen database product development and advance cloud engineering practices. This role will focus on building secure, scalable, and automated database solutions across AWS and Azure environments, enabling efficient delivery of database services and supporting enterprise cloud initiatives. Key Responsibilities Design and implement cloud infrastructure for database products using AWS services (EKS, EC2, RDS, S3, IAM, VPC, Control Tower) and Azure equivalents. Develop and maintain Infrastructure-as-Code using AWS CDK (TypeScript), CloudFormation, and Terraform; scripting in Python is essential. Build and optimize CI/CD pipelines leveraging Jenkins, GitHub/Bitbucket, Artifactory, and SonarQube. Ensure platform reliability and scalability through automation, observability tools (Splunk, Dynatrace), and proactive incident management. Collaborate with database engineers and architects to integrate cloud-native solutions and troubleshoot deployment issues. Contribute to cloud governance, security best practices, and compliance (PCI, CIS benchmarks). Mentor team members, lead architecture reviews, and drive continuous improvement initiatives. Establish robust monitoring, alerting, and operational support frameworks for cloud database platforms. Influence architectural decisions and contribute to cloud strategy for database platforms. Required Qualifications 7+ years of experience in cloud engineering or DevOps, with strong AWS expertise; Azure experience is a plus. Experience in designing and deploying custom database solutions and managing cloud-native database services. Solid understanding and hands-on experience with major SQL and NoSQL databases (PostgreSQL, Oracle, DocumentDB, ElastiCache). Hands-on experience with Infrastructure-as-Code, CI/CD, and automation frameworks. Knowledge of cloud security frameworks and compliance standards. Strong problem-solving and debugging skills in distributed systems. Preferred AWS certifications (Solutions Architect, DevOps Engineer, SysOps, Database Specialty). Exposure to hybrid cloud environments and multi-account AWS setups. Experience with cost optimization and performance tuning in cloud environments. Mastercard is a merit-based, inclusive, equal opportunity employer that considers applicants without regard to gender, gender identity, sexual orientation, race, ethnicity, disabled or veteran status, or any other characteristic protected by law. We hire the most qualified candidate for the role. In the US or Canada, if you require accommodations or assistance to complete the online application process or during the recruitment process, please contact reasonable\\ and identify the type of accommodation or assistance you are requesting. Do not include any medical or health information in this email. The Reasonable Accommodations team will respond to your email promptly. \\\\Corporate Security Responsibility\\\\ All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and, therefore, it is expected that every person working for, or on behalf of, Mastercard is responsible for information security and must: \\+ Abide by Mastercards security policies and practices; \\+ Ensure the confidentiality and integrity of the information being accessed; \\+ Report any suspected information security violation or breach, and \\+ Complete all periodic mandatory security trainings in accordance with Mastercards guidelines. In line with Mastercards total compensation philosophy and assuming that the job will be performed in the US, the successful candidate will be offered a competitive base salary and may be eligible for an annual bonus or commissions depending on the role. The base salary offered may vary depending on multiple factors, including but not limited to location, job-related knowledge, skills, and experience. Mastercard benefits for full time (and certain part time) employees generally include: insurance (including medical, prescription drug, dental, vision, disability, life insurance); flexible spending account and health savings account; paid leaves (including 16 weeks of new parent leave and up to 20 days of bereavement leave); 80 hours of Paid Sick and Safe Time, 25 days of vacation time and 5 personal days, pro-rated based on date of hire; 10 annual paid U.S. observed holidays; 401k with a best-in-class company match; deferred compensation for eligible roles; fitness reimbursement or on-site fitness facilities; eligibility for tuition reimbursement; and many more. Mastercard benefits for interns generally include: 56 hours of Paid Sick and Safe Time; jury duty leave; and on-site fitness facilities in some locations. \\\\Pay Ranges\\\\ O'Fallon, Missouri: $122,000 - $207,000 USD

Required Qualifications and Skills

The role requires over seven years of experience in cloud engineering or DevOps, with a strong emphasis on AWS expertise and Azure experience being a plus. Candidates must have experience designing and deploying custom database solutions and managing cloud-native database services. A solid understanding and hands-on experience with major SQL and NoSQL databases such as PostgreSQL, Oracle, DocumentDB, and ElastiCache are necessary. Proficiency in Infrastructure-as-Code, CI/CD, and automation frameworks is also required, along with knowledge of cloud security frameworks and compliance standards. Strong problem-solving and debugging skills in distributed systems are essential. Preferred qualifications include AWS certifications and exposure to hybrid cloud environments.

Disclaimer

Disclaimer: Job and company description information and some of the data fields may have been generated via GPT-4 summarisation and could contain inaccuracies. The full external job listing link should always be relied on for authoritative information.

About the company

Mastercard

Size

38185

HQ

Purchase, US

Description

MasterCard is framed as a technology company in the global payments business, emphasizing its role in connecting various stakeholders worldwide and enabling the use of secure and convenient electronic forms of payment. It describes its mission as working to connect and power an inclusive digital economy that benefits everyone everywhere by ensuring transactions are safe, simple, smart, and accessible. The company culture is driven by a decency quotient (DQ), cultivating an inclusive environment that values individual strengths, views, and experiences. It leverages secure data, networks, partnerships, and a passion for innovation to support various entities, including individuals, financial institutions, governments, and businesses, in realizing their potential.

Share

Share this job

Related jobs

Data Governance
Data Modelling
Data Factory
CICD
Dublin, Ireland
Temporary
Data Engineer
Deep Learning
Data Analysis
Feature Engineering
Pune, India
Full Time
Mastercard

Data Scientist

Mastercard

Scikit-learn
Data Engineer
Data Analysis
Big Data
San Francisco, CA, USA
Part Time
Full Time