Senior Platform Engineer

Mastercard is hiring a Senior Platform Engineer. 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.
Tools and skills the posting cites include Kubernetes, Terraform and Ansible.
Level classifies it as a senior role.
Level lists 874 other open roles at Mastercard.
The role was posted in the last few days.

AI in this role

Design, build, and optimize large-scale platform and big data infrastructure as a Senior Platform Engineer at Mastercard.

KubernetesTerraformAnsibleJava

big-dataplatform-engineeringinfrastructure-as-codeci-cd

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

Senior Platform Engineer

The Senior Platform Engineer is a hands-on engineering role responsible for designing, implementing, operating, and continuously improving highly available, secure, scalable, and resilient platform infrastructure supporting enterprise applications and distributed data environments.

This role partners closely with application, development, infrastructure, and security teams to deliver reliable platform capabilities, automate infrastructure and deployment processes, integrate evolving technologies, and improve the performance and operational efficiency of Mastercard's technology environments.

Overview
• Provide world-class support and expertise to all of MasterCard’s Big Data environments.
• Provide Big Data thought leadership and technology roadmaps to support MasterCard’s vision and evolution.
• Purpose of the Job
o Represent MasterCard’s Big Data Engineering team as a subject matter expert.
o Support MasterCard’s present Big Data infrastructures.
o Integrate new technologies and platforms into current environments as technologies evolve and demands change.

Role
• Design, build, operate, and maintain scalable, secure, resilient, and cost-efficient cloud and platform infrastructure supporting mission-critical applications and distributed systems.
• Support and continuously improve highly available Big Data and distributed computing environments, ensuring reliability, performance, capacity, availability, and fault tolerance.
• Deploy, administer, troubleshoot, and optimize container-based platforms and orchestration environments, including Kubernetes.
• Develop and maintain CI/CD pipelines that automate software integration, testing, security validation, and deployment processes.
• Automate infrastructure provisioning, configuration, and lifecycle management using Infrastructure as Code and automation technologies such as Terraform, Ansible, or equivalent tools.
• Develop software, scripts, and automation using Java, Python, or other appropriate programming languages to improve platform reliability, repeatability, and operational efficiency.
• Support platform capabilities for microservices and independently deployable applications, enabling reliable and scalable application deployment.
• Administer and troubleshoot Linux/Unix operating systems supporting enterprise platform environments.
• Monitor platform health, capacity, availability, and performance; identify opportunities to improve scalability, reliability, efficiency, and operational resilience.
• Troubleshoot complex infrastructure, application-platform, networking, distributed-system, and performance issues and drive problems through resolution.
• Analyze infrastructure and platform security requirements and implement appropriate controls in accordance with Mastercard security, change-management, and regulatory standards.
• Partner directly with application and development teams to understand technical requirements and provide platform solutions that meet application performance, reliability, security, and scalability needs.
• Evaluate emerging technologies and capabilities and integrate appropriate solutions into existing platform environments as technology and business requirements evolve.
• Create and maintain platform documentation, procedures, operational standards, and engineering best practices.
• Participate in operational support for mission-critical platform environments and contribute to incident resolution, root-cause analysis, and continuous improvement activities.
• Share platform engineering knowledge and provide technical guidance and cross-training to teammates.

All About You
Essential Knowledge, Skills and Experience
• Hands-on experience designing, building, operating, or supporting enterprise cloud and platform infrastructure.
• Experience operating highly available, mission-critical distributed systems and troubleshooting complex infrastructure and platform issues.
• Proficiency with Kubernetes, container technologies, and container orchestration concepts.
• Experience implementing or supporting CI/CD pipelines and automated software deployment processes.
• Experience with Infrastructure as Code and infrastructure automation using Terraform, Ansible, or comparable technologies.
• Strong Linux/Unix administration and troubleshooting skills, including shell scripting, system diagnostics, performance analysis, and operational support.
• Proficiency in at least one programming language such as Java or Python, with the ability to develop automation and platform engineering solutions.
• Understanding of microservices architecture and the infrastructure requirements necessary to support scalable, independently deployable services.
• Experience monitoring and managing platform availability, performance, capacity, reliability, and operational health.
• Understanding of enterprise networking, infrastructure, and distributed-system concepts.
• Ability to identify and implement infrastructure security requirements and controls within enterprise platform environments.
• Demonstrated ability to troubleshoot complex technical problems across applications, infrastructure, operating systems, networks, and distributed platforms.
• Strong written and verbal communication skills with the ability to collaborate effectively across engineering, application, infrastructure, and business teams.

Additional or Preferred Capabilities
• Experience with Hadoop or other distributed data processing platforms.
• Experience operating or modernizing large-scale Big Data environments.
• Experience migrating applications or workloads from traditional infrastructure to cloud-native or modern platform environments.
• Experience with infrastructure and configuration automation tools such as Terraform, Ansible, Chef, Python, or similar technologies.
• Understanding of enterprise networking in support of large-scale IT environments.
• Experience supporting large ETL or data-processing pipelines.
• Working knowledge of SQL, data warehousing, or massively parallel processing technologies.
• Experience with observability, monitoring, metrics, and performance-management technologies.
• Understanding of statistics, machine learning, or data-intensive workloads is beneficial.

What Success Looks Like
• Platform infrastructure is reliable, secure, scalable, observable, and effectively automated.
• Infrastructure and application deployments are increasingly standardized through CI/CD and Infrastructure as Code.
• Containerized and distributed workloads operate with appropriate availability, performance, resilience, and security.
• Repetitive operational activities are reduced through software engineering and automation.
• Platform capacity, performance, and reliability issues are identified proactively and resolved effectively.
• Application and engineering teams receive dependable platform capabilities that allow them to deliver and operate applications efficiently.

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_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.

In line with Mastercard’s 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. THIS POSTING RELECTS ONE OR MORE CURRENT VACANCIES ON OUR TEAM, AND MASTERCARD INTENDS TO FILL THIS POSITION BY 02/10/2027. If the fill date has passed, Mastercard intends to fill this position as soon as possible.

Pay Ranges

O'Fallon, Missouri: $96,000 - $163,000 USD

How we rate this

Senior Platform Engineer at Mastercard rates 0 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.

Classification

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.

Key facts

Senior Platform Engineer is an open job at Mastercard.
Level rates this role AI Level 1 of 4: Little AI.
The role is based in O'Fallon, Missouri.
The job was posted on November 12, 2026.
Seniority: senior.
Applications are handled by Mastercard. Apply on Mastercard

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Big DataPlatform EngineeringInfrastructure As CodeCI/CDKubernetesTerraformAnsibleJava

Questions you could be asked

Tell me about a project where big data was part of your work. What did you do?
Tell me about a project where platform engineering was part of your work. What did you do?
Tell me about a project where infrastructure as code was part of your work. What did you do?
Tell me about a project where ci/cd was part of your work. What did you do?
Walk me through how you've used Kubernetes in your day-to-day work.

Adapt your resume

List these exact terms on your resume: Big Data, Platform Engineering, Infrastructure As Code, CI/CD, and Kubernetes. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

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