MastercardDirector, Software Engineering
Mastercard is hiring a Director, Software Engineering in Pune, India. Level rates it ; you can apply on Mastercard.
Level's read on this job
- On Level's scale, this role is Little AI ●○○○: aI is not part of the work.
- The posting mentions Databricks, Java and Kotlin among its tools and skills.
- Level classes it as a senior role.
- Mastercard has 1,000+ other open roles on Level.
- Posted within the past week.
AI in this role
Manage engineering teams building data and analytics platforms that embed advanced modeling and agentic systems into customer workflows.
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
Director, Software EngineeringWho is Mastercard?Mastercard is a global technology company in the payments industry, building digital platforms that securely power commerce at global scale. Our technology enables innovation across financial services, data, AI, and digital experiences, while maintaining the highest standards of reliability, security, and trust.
Role
Business & Market Insights (B&MI) is Mastercard’s data, analytics, and intelligence organization, responsible for transforming vast, global data assets into actionable insights and decision support products for customers across industries. B&MI builds platforms and products that move beyond static analytics, embedding AI, advanced modeling, and increasingly agentic systems directly into customer workflows to help clients understand what is happening, what will happen next, and what actions to take. The team operates on a global scale, where product, engineering, and data teams come together to deliver secure, governed, and production ready intelligence solutions that drive measurable business outcomes.
Required Skills and Experience
• 7+ years of full stack engineering experience in an agile production environment
• 2+ years managing two or more engineering teams and coaching and mentoring emerging leaders
• Experience leading the architecture, design, implementation, and release of complex products and applications that spans across multiple engineering teams
• Strong backend engineering experience using languages such as Java, Kotlin, Python, Scala, or similar technologies
• Familiarity with cloud technologies and platforms, including but not limited to AWS EMR, Aurora, Databricks, and Snowflake, used to build and scale data-intensive applications
• Strong technologist with proven track record of learning new technologies and frameworks
• Relentless focus on and track record of delivering value for customers
• Strong analytical / quantitative problem-solving skills
• Experience identifying and implementing improvements to organizational structure and processes to empower teams to own and deliver on their mission
• Ability to influence others teams and roles to prioritize and make improvements to their technical approach and processes
• Experience leading projects and teams across roles and geographies
• Motivation, creativity, self-direction, and desire to thrive as a leader in a fast-paced organization
• Superior academic record with a degree in Computer Science or related technical field
• Strong written and verbal English communication skills
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.
How we rate this
Director, Software Engineering at Mastercard rates 20 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where full stack engineering was part of your work. What did you do?
- Tell me about a project where team management was part of your work. What did you do?
- Tell me about a project where system architecture was part of your work. What did you do?
- Tell me about a project where backend engineering was part of your work. What did you do?
- Tell me about a project where agile was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Full Stack Engineering, Team Management, System Architecture, Backend Engineering, and Agile. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
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