Platform Engineer

Title and Summary

Platform Engineer II

Database Platform Engineer II

Who is Mastercard

Mastercard is a global technology company in the payments sector. We power payments and provide products and services for individuals and industries all around the world. Our people, technology, data and brand provide the capabilities that drive our success. We believe in connecting people to priceless possibilities.

Overview

Our Database Engineering team is looking for a Database Platform Engineer II to support our evolving multi-cloud and polyglot database strategy. While the Principal level sets the vision, the Engineer II is the engine that builds, secures, and optimizes the platform.

The ideal candidate is a proactive problem-solver with a strong background in NoSQL and Open Source database technologies. You will be responsible for ensuring the scalability and reliability of our data services across AWS or Azure, while driving automation to eliminate manual toil.

Description

Engineering & Implementation: Deploy, configure, and manage high-performance database clusters using PostgreSQL, Cassandra, MongoDB, or Redis.

Cloud Operations: Build and maintain cloud-native database solutions (RDS, Aurora, DocumentDB, or Azure SQL/Cosmos DB) with a focus on high availability and cost optimization.

Automation First: Develop Infrastructure as Code (Terraform, CloudFormation, or Ansible) to automate database provisioning, patching, and scaling.

Performance Monitoring: Proactively monitor database health and performance; identify bottlenecks in query execution and suggest schema or indexing improvements.

Security & Compliance: Implement encryption, IAM roles, and access controls to ensure all data platforms meet Mastercard's rigorous PCI-DSS and SOX compliance standards.

Migration Support: Assist in the migration of legacy workloads to modern cloud-native or distributed database architectures.

On-Call Support: Provide technical expertise for production incidents, conducting root-cause analysis (RCA) to prevent recurrence.

Collaboration: Work closely with application developers to provide guidance on database selection and best practices for data modeling in microservices.

Technical Requirements & Skills

Multi-Database Proficiency: Strong hands-on experience in at least two of the following:

PostgreSQL: Administration, vacuuming, and performance tuning.

Cassandra: Data modeling for distributed scale and partition key optimization.

MongoDB: Sharding, replica sets, and document design.

Redis: Caching strategies, persistence models, and Pub/Sub.

Cloud Expertise: Active certification or deep experience in AWS Certified Database – Specialty or Azure Database Administrator Associate.

Scripting: Proficiency in Python, Bash, or Go for building internal tooling and automation scripts.

Distributed Systems: Understanding of the CAP theorem and how it applies to the consistency and availability of distributed databases.

Qualifications

Bachelor's degree in Computer Science, Information Systems, or equivalent experience.

3–5 years of experience in database engineering or SRE roles.

Experience working in an Agile/Scrum environment.

Proven ability to document technical processes and share knowledge with the wider engineering community.

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 Mastercard's 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 Mastercard's guidelines.