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_Dev/Ops (CI/CD tools (e.g., Jenkins, Git).Chef, XLR, Linux)
Job Title Overview
Software Engineer II – Data Platform Engineering
Location
Pune, India
About the Role
As a Software Engineer II on the enterprise-wide Data Platform team, you will focus on automating infrastructure, streamlining deployment processes, and improving system reliability. You’ll work closely with senior engineers to build and maintain DevOps pipelines, monitor distributed systems, and support platform operations using technologies like NiFi, Spark, MinIO, Kubernetes, Airflow, and cloud-native tools.
Key Responsibilities
Develop and maintain CI/CD pipelines for automated deployment and testing of data platform components.
Automate infrastructure provisioning and configuration using tools like Chef, XLR etc.
Monitor system health and performance using Dynatrace, Splunk, and custom alerting mechanisms.
Assist in container orchestration and workflow automation using Kubernetes and Airflow.
Support platform upgrades, patching, and incident response activities.
Collaborate with engineering and operations teams to ensure smooth integration and delivery.
Contribute to documentation and knowledge sharing around DevOps practices and automation workflows.
All About You
Experience with CI/CD tools (e.g., Jenkins, Git).
Familiarity with infrastructure-as-code tools (e.g., Chef, XLR, ansible).
Hands-on experience with Kubernetes and containerization (Docker).
Exposure to workflow orchestration tools like Apache Airflow.
Basic understanding of distributed data systems (e.g., NiFi, Spark).
Proficiency in scripting languages (e.g., Bash, Python).
Experience with monitoring and logging tools (e.g., Dynatrace, Splunk).
Experience with Chef for infrastructure automation and configuration management.
Exposure to cloud platforms (AWS, GCP, or Azure) is a plus.
Interest in AI-driven automation for platform operations is a bonus.
Soft Skills
Strong attention to detail and a proactive approach to problem-solving.
Effective communication and collaboration across engineering and operations teams.
Ability to follow through on tasks independently and escalate issues appropriately.
Eagerness to learn and grow in DevOps and automation domains.
Qualifications
Bachelor’s degree in Computer Science, Engineering, or a related field.
5+ Years of experience in software engineering, preferably in data platform or infrastructure teams.
Experience in enterprise environments or large-scale systems is a plus.

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.