M

Lead DevOps Engineer, Foundry RnD

Mastercard

Today
New
Experience Level: Mid level Experience Length: 7 years

Job descriptions & requirements

ABOUT THE COMPANY

MasterCard Worldwide is a credit company, whose products include mainly MasterCard - Payment Card and Maestro - debit card , as well as management of shopping transactions they made. MasterCard Worldwide users of services include card holders as well as the means of payment acceptance points of sale. MasterCard Worldwide to perform transactions by transferring money to the buyer from using the bank point of sale to the bank. The company is headquartered in Purchase , New York , United States .

JOB SUMMARY

Required SkillsEducation & Background: Bachelor's degree in Computer Science, Engineering, or related field. 8–12+ years of proven experience architecting and operating production-grade infrastructure, especially those supporting AI/ML workloads.Infrastructure as Code: Expert in Terraform and IaC orchestration tools like Terragrunt. Strong experience with configuration management and GitOps practices.Programming & Scripting: Advanced Bash and Python skills and strong software engineering fundamentals (version control, CI, code reviews). Familiarity with Go or other systems programming languages is a plus.

RESPONSIBILITIES

Drive Platform Infrastructure: Own DevOps and infrastructure for MLOps and agentic AI systems, establishing reusable patterns for CI/CD, scalable inference, orchestration, observability, and cost control. Design secure, scalable, repeatable systems using Infrastructure as Code (IaC) to support R&D workloads.Build secure CI/CD & automation systems: Enable secure tool access, workload isolation, and infrastructure for LLM-backed APIs and MCP servers, while partnering with security and compliance on access control, infrastructure governance and auditability.Ensure Reliability & Observability: Implement monitoring, logging, and alerting. Tune observability for ML-specific workloads to ensure performance, reliability, and operational insight.Provide Technical Leadership: Offer hands-on leadership across DevOps and platform initiatives. Review code, enforce best practices, improve tooling, and promote clean, well-tested infrastructure.Cross-Functional Collaboration: Partner with ML, software, and platform engineers to design deployment strategies, scope work, manage agile deliverables, and meet milestones.

REQUIRED SKILLS

Programming, Agile and Lean methodologies, Engineering, Software architecture, Database query languages (SQL, others)

REQUIRED EDUCATION

Bachelor's degree

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