Job title: Gen AI Platform Lead Software Engineer
Company: Mastercard
Job description:
Join Us in Shaping the Future of Payments
At Mastercard, our mission is all about empowering people and driving economic growth across more than 200 countries and territories. We’re committed to fostering a sustainable economy where everyone can thrive. By partnering with our clients, we’re making digital payments secure, simple, smart, and accessible for all. Our innovative technology and collaborative networks help unlock the full potential of individuals, businesses, and governments around the globe.
About the Role: Generative AI Platform Lead Software Engineer
Are you ready to dive into the exciting world of cloud technology? Join our dynamic Mastercard Cloud Team within the ONE division, where we’re not just adopting cloud solutions but also leading the charge in setting company-wide cloud standards and best practices. This is your chance to be at the helm of technological innovation, shaping how we develop and deploy moving forward!
In this role, you will focus on building a comprehensive platform dedicated to Generative AI and Large Language Models (LLMs).
What You’ll Do:
- Create and implement a cutting-edge Generative AI platform, incorporating MLOps/LLMOps for both commercial and open-source LLMs.
- Align your work with our established cloud integration and automation patterns to ensure smooth operations.
- Spot opportunities for reuse and enhanced efficiency throughout the process.
- Collaborate with IT, business partners, product owners, and stakeholders to develop meaningful roadmaps, prioritizing the most impactful work.
- Champion Mastercard’s engineering principles as you contribute to our vibrant Software Engineering Guild, sharing your insights, experiences, and enthusiasm for technology.
- Drive metrics that spark meaningful change within the organization.
Who You Are:
- You have a thorough understanding of cloud platforms like AWS and Azure, including hands-on experience with AI and GenAI services such as AWS SageMaker, Bedrock, and Azure ML. You’re familiar with both commercial and open-source foundational models.
- You bring substantial experience in Generative AI LLM platforms covering aspects like model evaluation, API patterns, model governance, orchestration, and vector databases.
- You have worked with AI-related data platforms (i.e., DataBricks, IBM watsonx) and are familiar with GenAI code assistants like GitHub Copilot and AWS Code Whisperer.
- Your background in AI/ML encompasses data science and analytics, and you have experience in cloud security, especially in regulated industries.
- You hold a solid site reliability engineering mindset and are adept at creating resilient solutions across multiple layers.
- You’re skilled in automation and observability within cloud environments and can implement best practices in web service design.
- You have a strong grasp of Kubernetes, both self-managed and cloud provider solutions, and a proven history of delivering effective solutions in complex, multi-domain contexts.
- You communicate complex concepts with ease and mentor junior engineers through pair programming, code reviews, and design discussions.
- You’re passionate about driving the evolution from legacy to cloud-based solutions, equipped with strong organizational navigation skills.
- With experience in Agile/Scrum and traditional project management methodologies, you understand all phases of the software development lifecycle.
- You are well-versed in performance engineering practices and helping teams enhance productivity and release frequency.
- Proficiency in programming languages such as Python and Java rounds out your technical toolkit.
What’s in It for You?
Mastercard is an inclusive employer committed to equity. We embrace diversity in every form and celebrate the unique perspectives and backgrounds of our team members. If you require assistance during the application or recruitment process, please reach out to us at [email protected].
Security Awareness:
Every role at Mastercard comes with the responsibility of protecting our assets and ensuring information security. We expect all employees to adhere to our security policies and report any suspected violations.
Compensation and Benefits:
We believe in rewarding our talented professionals. If you join our team in the U.S., you can expect a competitive salary based on your location and experience, along with a potential annual bonus. Our comprehensive benefits include medical, dental, vision, and life insurance, generous parental leave, vacation days, a robust 401k plan with company matching, tuition reimbursement, and more.
Pay Ranges:
- New York City, NY: $166,000 – $265,000
- O’Fallon, MO: $138,000 – $221,000
If you’re ready to innovate and make a tangible impact, we’d love to hear from you!
Expected salary:
Location: New York City, NY
Job date: Sat, 15 Feb 2025 00:36:59 GMT
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