Manager, Platform Engineering - Big Data Engineering

Mastercard
United States
Workplace: OnsiteFull timeUSD 122,000 - 207,000 annuallyFunction: DevOps, Cloud & InfrastructureSkills: ["Leadership","Communication","Team management","Collaboration","Problem-solving"]

Lead a high-performance platform engineering team responsible for designing, building, and operating scalable, secure cloud infrastructure and big data platforms; drive adoption of IaC, CI/CD, containerization (Kubernetes), and microservices practices to enable rapid, reliable software delivery at Mastercard.

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FursaFursa
Mastercard
Mastercard
3 months ago

Manager, Platform Engineering - Big Data Engineering

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Status: Live

Job Summary

Lead a high-performance platform engineering team responsible for designing, building, and operating scalable, secure cloud infrastructure and big data platforms; drive adoption of IaC, CI/CD, containerization (Kubernetes), and microservices practices to enable rapid, reliable software delivery at Mastercard.
Location: United States
Workplace: Onsite
Employment Type: Full time
Job Function: DevOps, Cloud & Infrastructure
Seniority: Manager level

Key Responsibilities

  • •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)
  • •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
  • •Guide teams in building and operating distributed systems and microservices architectures

Pay and Benefits

Salary: USD 122,000 - 207,000 annually

Key Requirements

  • •Experience leading high performing engineering teams with a customer-focused mindset 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:Platform engineeringCloudDevOps
Skills:LeadershipCommunicationTeam managementCollaborationProblem-solving
Tech Stack:PythonJavaGoKubernetesCI/CDInfrastructure as CodeHadoopClouderaDistributed systemsMicroservicesCloud

Company Brief

Mastercard
Mastercard is a global payments and technology company that processes transactions, provides fraud prevention and data services, and builds payment infrastructure for consumers, businesses, merchants and governments across 200+ countries.
Industry: Payments
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Purchase, New York, United States
Founded: 1966
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Glassdoor: 4.1
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