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Mastercard · 1 day ago

Lead AI/DevOps Engineer

San Carlos, CA

Full-time

Hybrid

Lead/Staff

$168K/yr - $277K/yr

Mastercard is a global technology company in the payments industry, focused on connecting and powering an inclusive digital economy. The Lead AI/DevOps Engineer will drive customer experience strategy by innovating and problem-solving, leading DevOps initiatives, and managing scalable AI infrastructure.

FinanceFinancial ServicesInformation TechnologyPayments

Growth Opportunities

H1B Sponsor Likely

Responsibilities

Lead DevOps initiatives in on-prem environments

Design, deploy, and manage scalable AI infrastructure using Kubernetes for reliable orchestration of large language models and related services

Develop proof-of-concept solutions for advanced AI use cases, including model context protocols (MCPs), LLMs, retrieval-augmented generation (RAG), and agentic workflows

Partner with security and governance teams to ensure AI solutions comply with enterprise policies, regulatory standards, and privacy best practices

Collaborate with infrastructure and platform teams to optimize cloud resources for scalable, efficient, and cost-effective AI workloads

Work directly with customer teams to gather requirements, deliver innovative solutions, and provide ongoing technical support throughout the AI product lifecycle

Qualification

DevOps toolsKubernetesPythonGoLangSolution-oriented approachCustomer-focused mindsetClear communication

Required

Lead DevOps initiatives in on-prem environments

Design, deploy, and manage scalable AI infrastructure using Kubernetes for reliable orchestration of large language models and related services

Develop proof-of-concept solutions for advanced AI use cases, including model context protocols (MCPs), LLMs, retrieval-augmented generation (RAG), and agentic workflows

Partner with security and governance teams to ensure AI solutions comply with enterprise policies, regulatory standards, and privacy best practices

Collaborate with infrastructure and platform teams to optimize cloud resources for scalable, efficient, and cost-effective AI workloads

Work directly with customer teams to gather requirements, deliver innovative solutions, and provide ongoing technical support throughout the AI product lifecycle

Proficient in DevOps tools such as Splunk, Dynatrace, Grafana, Prometheus, OpenShift Kubernetes, Docker, and Helm

Strong hands-on experience with Python; GoLang is a plus

Customer-focused mindset with a commitment to delivering simple, valuable solutions

Driven by a clear mission to prioritize customer needs

Continuously monitor market trends and competitors to inform strategy

Proactively engage with customers to understand their challenges and identify impactful solutions

Seek complementary products or services to enhance customer outcomes

Identify resource gaps and propose sustainable, team-benefiting solutions

Communicate technical concepts clearly and concisely

Confident and precise communicator, capable of articulating vision and strategy to diverse stakeholders

Solution-oriented approach to problem-solving

Benefits

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

Company

Mastercard

Glassdoor4.2

Mastercard is a financial network that processes payments between banks and cardholders.

Founded in 1966

Purchase, New York, USA

10001+ employees

http://www.mastercard.com

H1B Sponsorship

Mastercard has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)

Distribution of Different Job Fields Receiving Sponsorship

Represents job field similar to this job

Trends of Total Sponsorships

2025 (540)

2024 (319)