Senior Platform Engineer

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.

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