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

Software Engineer II

Overview

Mastercard is seeking a highly motivated DevSecOps Engineer II (Level 8) to join the Operations & Technologies engineering organisation. This role focuses on building secure, scalable, and automated software delivery platforms supporting Mastercard's critical applications and services.

The DevSecOps Engineer works within Agile teams and collaborates with Software Engineering, Infrastructure, Security, Architecture, and Product teams to deliver secure, resilient, cloud-native solutions. The ideal candidate combines software engineering expertise with platform engineering, automation, cloud technologies, and application security.

This hands-on role requires a robust learning mindset, excellent collaboration skills, adaptability to changing technologies and business priorities, and a passion for driving DevSecOps best practices, automation, AI-enabled productivity, and platform modernisation initiatives. Role & Responsibilities

DevSecOps & CI/CD

Design, develop, and maintain CI/CD pipelines using Jenkins and DevOps tools.

Implement deployment automation using Chef and Infrastructure-as-Code practices.

Drive Continuous Integration and Continuous Delivery initiatives.

Integrate security controls, compliance checks, and quality gates into delivery pipelines.

Automate build, deployment, monitoring, and operational processes.

Continuously improve software delivery and platform capabilities.

Application Security

Implement and support Secure Software Development Lifecycle (SSDLC) practices.

Support

Static Application Security Testing (SAST)

Agile Application Security Testing (DAST)

Software Composition Analysis (SCA)

Container Security Scanning

Collaborate with teams to identify and remediate vulnerabilities.

Support secure coding, threat modelling, risk assessments, and security reviews.

Promote security-by-design across the software lifecycle.

Infrastructure & Platform Engineering

Support and enhance enterprise platform infrastructure and services.

Demonstrate knowledge of

TCP/IP, DNS, SSL/TLS, Routing

Load Balancers (F5, NGINX, HAProxy, etc.)

API Gateways and Reverse Proxies

Identity & Access Management (IAM)

Authentication and Authorisation





Troubleshoot infrastructure and platform issues.

Partner with Infrastructure and Operations teams to improve platform reliability and security.

Middleware & Application Platforms

Build, deploy, and support applications hosted on:

Apache Tomcat

Apache HTTPD

WebLogic

Troubleshoot middleware and application integration issues.

Support platform modernisation and technology upgrades.

Recommend improvements for reliability and scalability.

Cloud & Container Platforms

Design and deploy cloud-native solutions using:

Pivotal Cloud Foundry (PCF)

Kubernetes

Implement monitoring, logging, observability, and auto-scaling solutions.

Support secure and compliant cloud deployments.

Contribute to containerisation and platform modernisation efforts.

Software Development & Automation

Contribute to application development and technical design.

Develop applications, APIs, utilities, and automation frameworks using:

Java

Spring Boot

Angular

Python

Shell/Bash

Create automation solutions that improve engineering productivity.

Deliver maintainable, high-quality code with appropriate testing.

Agile Delivery & Collaboration

Participate in Agile ceremonies including planning, refinement, stand-ups, reviews, and retrospectives.

Collaborate with Product Owners, Architects, Security, Infrastructure, and Business teams.

Support estimation, planning, and solution design activities.

Ensure timely delivery of commitments.

Drive continuous improvement initiatives.

AI & Engineering Productivity

Utilise AI-assisted development tools to improve productivity.

Automate DevOps, Security, and Operational workflows using AI-driven solutions.

Apply responsible AI, governance, security, and privacy principles.

Support AI integration within applications, monitoring platforms, and automation frameworks.

Stay current with emerging AI technologies and trends.

All About

You (Required Skills & Experience)

Software Development

Java (Spring Boot preferred)

Angular

REST APIs

Microservices Architecture

Python and Shell/Bash Scripting

DevSecOps & Automation

Jenkins

Chef

Git, GitHub, Bitbucket

CI/CD Pipeline Design

Infrastructure as Code

Linux and Windows Platforms

Application Security

Secure SDLC

SAST & DAST

Vulnerability Management

SCA

Container Security Scanning

Infrastructure & Networking

Strong understanding of

DNS, TCP/IP, SSL/TLS

Routing and Load Balancing

IAM





Authentication & Authorisation

API Gateways

Middleware & Platforms

Experience with

Apache Tomcat

Apache HTTPD

WebLogic

Enterprise Middleware Platforms

Cloud & Containers

Experience with

Kubernetes

PCF

Cloud-Native Platforms

Container-Based Architectures

Development Practices & Tools

Agile methodologies (Scrum, Kanban, SAFe)

Jira or similar tools

DevOps and Platform Engineering best practices

Monitoring, Logging, and Observability solutions

Production troubleshooting and incident resolution

AI & Engineering Productivity

Experience with AI-assisted tools such as GitHub Copilot, Microsoft Copilot, or ChatGPT.

Understanding of AI governance and Responsible AI principles.

Familiarity with AI APIs, prompt engineering, and AI-driven automation.

Experience integrating AI into engineering workflows is desirable.

Preferred

Qualifications

Bachelor's Degree in Computer Science, Engineering, Information Technology, or related discipline.

3–5 years of experience in DevSecOps, Platform Engineering, or Software Engineering.

Experience building microservices with Spring Boot.

Experience with Docker and container technologies.

Familiarity with

OWASP Top 10

Threat Modelling

PCI DSS

Security Compliance Frameworks

Experience with monitoring tools such as:

Splunk

Dynatrace

ELK

Prometheus

Grafana

Experience supporting large-scale enterprise production environments.

Behavioural

Competencies

We are looking for individuals who:

Demonstrate a strong learning mindset.

Possess excellent listening and collaboration skills.

Adapt quickly to new technologies and business domains.

Take ownership and drive issues to resolution.

Communicate effectively with technical and non-technical audiences.

Exhibit strong analytical and problem-solving capabilities.

Champion automation, security, and continuous improvement.

Mentor junior engineers and contribute to team growth. Nice-to-Have Skills

GitHub Actions

SonarQube

Checkmarx

Black Duck

HashiCorp Vault

Redis

Kafka

Oracle / SQL / MongoDB

Cloud Security Engineering

API Gateway Platforms

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.

📌 Software Engineer II (Pune)
🏢 Mastercard
📍 Pune