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Mastercard

Manager, Software Engineering - Java

Mastercard is hiring a Manager, Software Engineering - Java in Pune, India. Level rates it ; you can apply on Mastercard.

Level's read on this job

  • Little AI ●○○○ is how Level rates this role: aI is not part of the work.
  • The posting mentions Java, software engineering and engineering management among its tools and skills.
  • Level classes it as a lead role.
  • Mastercard has 1,000+ other open roles on Level.

AI in this role

Lead an engineering team building low-latency, high-volume software solutions for fraud detection and decision management.

java
software-engineeringengineering-managementdistributed-systemsfraud-detectionagile

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

Manager, Software Engineering - Java

We are seeking a visionary and results-driven Engineering Manager to lead a service group in our critical Decision Management Platform for fraud detection. This role is pivotal in driving engineering excellence, scaling delivery capabilities, and fostering a culture of innovation, accountability, and continuous improvement. You will be responsible for aligning engineering strategy with business goals, mentoring high-performing teams, and ensuring the successful delivery of complex software solutions.
  • Are you passionate about low latency (the speed it takes to authorise a payment card), high volume (think Google searches and then some), and highly available (5 9s) software solutions?
  • Would you like to work on a team that is building industry leading solutions for fighting fraud?
  • Do you want to learn cutting edge technologies and help solve complex business problems?

Key Responsibilities
Strategic Leadership & Execution
  • Define and drive the engineering strategy in alignment with company objectives.
  • Lead cross-functional teams to deliver high-quality, scalable software products on time and within budget.
  • Champion engineering best practices, including DevOps, CI/CD, Observability and agile methodologies.
  • Identify and mitigate technical and delivery risks across programs and initiatives.
People Leadership & Coaching
  • Build, mentor, and retain high-performing engineering teams through career development, coaching, and performance management.
  • Foster a culture of ownership, innovation, and continuous learning.
  • Set clear goals and expectations, and provide regular feedback and development plans.
Operational Excellence
  • Own the end-to-end software delivery lifecycle, from requirements through release and support.
  • Continuously improve engineering processes, tools, and metrics to optimize team performance and product quality.
  • Ensure operational readiness, including incident response, monitoring, and service reliability.
Collaboration & Communication
  • Partner with Product, Operations, and Business stakeholders to define scope, priorities, and roadmaps.
  • Communicate technical vision and progress to executive leadership and non-technical stakeholders.
  • Represent engineering in strategic planning and budgeting discussions.

Qualifications
Education & Experience
  • Bachelor’s degree in Computer Science, Engineering, or a related field (or equivalent experience).
  • 10-12 years of overall career experience into software engineering and architecture, including leadership roles on complex, mission-critical platforms.
  • Proven track record of delivering distributed/scalable systems and high-volume transaction applications.
  • Experience with fintech, digital payments, authentication, or identity systems.
  • Strong grounding in security, secure SDLC, PCI considerations, and compliance-driven architecture.
  • Familiarity with reliability engineering, observability platforms, and operational excellence practices.
  • Prior leadership in an organization undergoing significant platform evolution or transformation.
Technical & Business Acumen
  • Deep understanding of modern software architecture, cloud infrastructure, and service-oriented systems.
  • Strong grasp of software operations, including monitoring, incident management, and performance tuning.
  • Experience managing budgets, forecasting, and resource planning.
Leadership & Communication
  • Exceptional communication, executive presence, and ability to simplify complex technical topics for senior stakeholders.
  • Exceptional leadership skills with the ability to inspire and influence across all levels of the organization.
  • Skilled at translating complex technical concepts into clear, actionable plans.

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

Manager, Software Engineering - Java at Mastercard rates 0 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.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ 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

Software EngineeringEngineering ManagementDistributed SystemsFraud DetectionAgileJava

Questions you could be asked

  1. Tell me about a project where software engineering was part of your work. What did you do?
  2. Tell me about a project where engineering management was part of your work. What did you do?
  3. Tell me about a project where distributed systems was part of your work. What did you do?
  4. Tell me about a project where fraud detection was part of your work. What did you do?
  5. 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: Software Engineering, Engineering Management, Distributed Systems, Fraud Detection, 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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