Manager, Platform Engineering
Mastercard is hiring a Manager, Platform Engineering. Level rates it ; you can apply on Mastercard.
Level's read on this job
- On Level's scale, this role is Little AI ●○○○: aI is not part of the work.
- Level lists 1,100+ other open roles at Mastercard.
- The role was posted in the last few days.
AI in this role
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
Manager, Platform EngineeringOverviewThe Manager, Platform Engineering leads a team responsible for designing, building, and operating scalable, secure, and resilient platform infrastructure. This role combines hands-on technical leadership across Mastercard’s Big Data Engineering team with people management responsibilities, enabling teams to deliver high-quality solutions aligned to enterprise priorities.
This leader will drive adoption of modern engineering practices, including infrastructure as code, container platforms, CI/CD pipelines, and microservices architectures, while fostering a high-performing, collaborative team environment.
Role
Platform & Cloud Engineering Leadership
• Lead the design and delivery of cloud infrastructure solutions that meet scalability, resilience, security, and cost efficiency requirements
• Oversee the development and operation of container platforms and orchestration environments (e.g., Kubernetes)
• Ensure platform capabilities support evolving application performance and business needs DevOps & Automation
• Establish and mature CI/CD pipelines and engineering workflows to enable efficient, high-quality software delivery
• Drive adoption of Infrastructure as Code (IaC) to ensure consistent, automated infrastructure provisioning and management
• Champion automation, reducing manual processes and increasing reliability and speed Distributed Systems & Microservices
• Guide teams in building and operating distributed systems and microservices architectures
• Ensure systems are designed for fault tolerance, scalability, and performance
• Oversee monitoring, observability, and operational health across platform services
Software Engineering & Technical Enablement
• Provide technical direction across software programming practices and frameworks
• Ensure engineering solutions meet standards for performance, maintainability, and reliability
• Partner with application teams to align platform capabilities with development needs
Infrastructure & Operating Systems
• Oversee management of operating systems and core IT infrastructure components (compute, storage, networking)
• Ensure platform environments are stable, performant, and aligned with enterprise standards
People Leadership & Enterprise Mindset
This role includes direct people leadership with developing proficiency in leadership capabilities:
Team Leadership
• Build and develop a high-performing, inclusive engineering team
• Provide coaching, feedback, and growth opportunities for team members
• Support hiring and talent development aligned to future capability needs
Enterprise Leadership Behaviors
• Delivers Results: Drives accountability and execution against business objectives
• Navigates Complexity: Leads teams through ambiguity and cross-functional dependencies
• Drives Change: Promotes new technologies, tools, and ways of working
• Fosters Enterprise Mindset: Connects team output to broader organizational impact
• Shapes Strategy (Developing): Contributes to platform and technology strategy through insights and innovation
All About You
Required Qualifications
• Experience leading high performing engineering teams with a customer-focused mindset. Attracts, grows, and develops exceptional, future-ready talent in a platform, cloud, or DevOps environment
• Strong expertise across Big Data platforms and technologies such as Hadoop, Cloudera, etc.
• Experience managing or operating distributed systems and microservices architectures
• Proficiency in at least one programming language (e.g., Python, Java, Go)
• Strong understanding of operating systems and enterprise IT infrastructure
• Experience integrating security requirements into platform engineering practices
Preferred Qualifications
• Experience in enterprise-scale or regulated environments
• Experience optimizing cloud cost, performance, and scalabilityMastercard 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_accommodation@mastercard.com 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 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.
Pay Ranges
O'Fallon, Missouri: $122,000 - $207,000 USDHow we rate this
Manager, Platform Engineering at Mastercard rates 32 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Get new software engineering jobs by email
One email a week with the new software engineering jobs, each rated for how much AI is in the work. No recruiter spam, unsubscribe in one click.
Free. One email a week. Unsubscribe in one click.
Similar roles
Software Engineering roles that involve little AI, at other companies.
What kind of AI work fits you?
Answer 12 practical questions in about three minutes. Get a simple profile, the work it points to, and live roles to explore next.
Find my next step