Lead AI/DevOps Engineer @ Mastercard
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Job Details
Our Purpose
Mastercard powers economies and empowers people in over 200 countries and territories worldwide. Together with our customers, we are building a sustainable economy where everyone can prosper through secure, simple, smart, and accessible digital payments.
Who is Mastercard?
Mastercard is a global technology company in the payments industry. Its mission is to connect and power an inclusive digital economy that benefits everyone. The organization leverages secure data, extensive networks, and continuous innovation to help individuals, financial institutions, governments, and businesses unlock their potential.
Overview
The LLM as a Service team is seeking a Lead AI/DevOps Engineer to drive customer experience strategy by innovating and solving problems. The role demands passion for customer experience, strong analytical abilities, and an entrepreneurial mindset.
The Role
- Lead DevOps initiatives in on-prem environments.
- Design, deploy, and manage scalable AI infrastructure using Kubernetes.
- Develop proof-of-concept solutions for advanced AI use cases including LLMs, MCPs, RAG, and agentic workflows.
- Partner with security and governance teams to ensure compliance with regulatory standards.
- Collaborate with infrastructure teams to optimize cloud resources for AI workloads.
- Engage with customer teams to gather requirements and provide ongoing technical support.
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 drive to deliver value.
- Ability to monitor market trends and craft innovative solutions.
- Clear and concise communicator capable of articulating technical concepts.
Corporate Security Responsibility
All personnel must adhere to Mastercard’s security policies, ensuring information confidentiality, integrity and compliance with periodic trainings.
Compensation & Benefits
This full-time role offers a competitive base salary based on location with additional bonus opportunities and a comprehensive benefits package. Locations include New York, Arlington, Boston, O'Fallon, San Francisco, and select remote options.
Key skills/competency
- DevOps
- AI Infrastructure
- Kubernetes
- Scalability
- Python
- Cloud Optimization
- Compliance
- Customer Engagement
- Innovation
- Security
How to Get Hired at Mastercard
🎯 Tips for Getting Hired
- Customize your resume: Highlight relevant AI and DevOps skills.
- Research Mastercard: Familiarize yourself with their tech and culture.
- Demonstrate innovation: Showcase practical Kubernetes and Python projects.
- Prepare for technical inquiries: Review DevOps tools like Docker and Helm.
- Practice communication: Articulate experiences clearly during interviews.