Lead / devops 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

Lead AI/DevOps Engineer

Job Description:
Who is Mastercard?
Mastercard is a global technology company in the payments industry. Our mission is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential.
Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all.


Overview:
The LLM as a Service team is looking for a Lead AI/DevOps Engineer to drive our customer experience strategy forward by consistently innovating and problem-solving. The ideal candidate is passionate about the customer experience journey, highly motivated, intellectually curious, analytical, and possesses an entrepreneurial mindset.


The Role:

• 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.

All About You:

• 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.

#AI1

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 [email protected] 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.

Pay Ranges

New York City, New York: $166,000 - $265,000 USD

Arlington, Virginia: $159,000 - $254,000 USD

Boston, Massachusetts: $159,000 - $254,000 USD

O'Fallon, Missouri: $138,000 - $221,000 USD

Remote - California: $138,000 - $221,000 USD

Remote - New York: $138,000 - $221,000 USD

San Francisco, California: $166,000 - $265,000 USD

Job Posting Window

Applications for this job posting will be accepted on an ongoing basis.