Mastercard logo

Vice President, Software Engineering

Mastercard
NewPosted yesterday

LOCATION

Pune · Onsite

EXPERIENCE

Not specified

TYPE

FullTime

SKILLS REQUIRED

Distributed SystemsSystem DesignRisk ManagementStakeholder ManagementMicroservices Architecture

Job description

Overview

Lead software engineering teams building advanced payments technologies and applications, with ownership of release quality, platform modernization, AI adoption and engineering leadership.

What you'll do

  • Own end-to-end release quality, safeguarding customer experience and platform trust across all deployments.
  • Establish and enforce rigorous testing standards, release readiness criteria, and go/no-go decision frameworks.
  • Drive risk management and defect containment strategies, including early detection, root-cause analysis, and preventive actions.
  • Lead quality governance across development, testing, and production operations, ensuring predictable, stable releases.
  • Champion engineering accountability for production health, incident reduction, and operational excellence.
  • Partner with Product, Operations, and Site Reliability Engineering (SRE) teams to ensure resilience, observability, and recoverability.
  • Define and execute the technology modernization roadmap, reducing technical debt while improving scalability, resilience, and efficiency.
  • Lead transformation initiatives including legacy platform modernization, cloud-native and hybrid architectures, and microservices, API-first, and event-driven systems.
  • Drive continuous improvement in engineering productivity, deployment velocity, and cost efficiency.
  • Ensure architectural consistency, security, and compliance across platforms and regions.
  • Evaluate and adopt emerging technologies aligned with long-term business and platform strategy.
  • Drive AI adoption across the engineering organization, embedding intelligence into development, testing, operations, and decision-making.
  • Sponsor AI-enabled capabilities such as test automation and intelligent defect detection, predictive analytics for risk and capacity management, and AI-assisted development and productivity tools.
  • Partner with business and data leaders to ensure AI delivers measurable outcomes, not experimentation alone.
  • Establish responsible AI practices covering governance, explainability, security, and ethical use.
  • Lead, mentor, and inspire senior engineering leaders and managers across geographies.
  • Build a culture of quality-first engineering, ownership, continuous learning, and innovation.
  • Develop succession planning, upskilling strategies, and cross-functional talent mobility.
  • Foster collaboration across Product, Architecture, Operations, Security, and Business stakeholders.
  • Act as a trusted engineering partner to senior executives, providing clear visibility into risk, quality, delivery, and modernization progress.
  • Communicate complex technical topics in a concise, executive-ready manner.
  • Manage strategic vendor and partner relationships to ensure delivery excellence and innovation.

What you'll need

  • Hands-on technical and people leader able to manage directly and through others.
  • Technically astute, with recognized subject matter expertise that allows you to dive deep into your teams' work.
  • Strong verbal and written communication skills, able to communicate efficiently with a wide range of audiences.
  • Obsessed with results, able to communicate objectives and how success will be measured.
  • Strong decision-making skills with a bias for action rather than drawn-out analysis.
  • Experience leading retrospection and continuously improving as a result.
  • Strong collaborative and organizational skills, valuing transparency over avoiding scrutiny.
  • Ability to guide team members' careers, including performance evaluation, coaching, and motivation.
  • Experienced manager able to evaluate and coach other managers.
  • Experience in distributed system design and implementation, with understanding of how high-performance, high-reliability, large-scale distributed systems are built and operated.
  • Expert-level knowledge of software development processes, practicing Agile at an advanced level.
  • Experience and knowledge of Test Driven Development (TDD) and Domain Driven Development (DDD).
  • Experienced user of one or more Application Lifecycle Management tools (e.g., Rally, Jira).
  • Good Payments/Card industry knowledge, and ability to read and understand a business case.

Details

  • Location: Pune, India.

Read the full description and apply on the company’s own careers page.

Stay safe

Hiring on Abekus is free for applicants

We never charge a fee, and employers are prohibited from doing so. If a recruiter asks for payment, please report them right away.

Vice President, Software Engineering