MastercardSoftware Engineer II
Mastercard is hiring a Software Engineer II in Pune, India. Level rates it ; you can apply on Level.
AI in this role
Software Engineer focused on site reliability and platform operations for fraud decisioning systems.
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 IIOverviewThe Mastercard Authentication team in Dublin is hiring a Software Engineer II with emphasis on site reliability to support and evolve our Authentication and Post-Authentication platforms. These platforms underpin real-time fraud decisioning at global scale, processing over a billion transactions daily.
The team is responsible for ensuring the reliability, availability, and performance of the Mastercard Fraud Decision Management Platform (DMP), which provides critical authentication and fraud prevention capabilities. Our focus is on operating highly resilient systems in the cloud, improving observability, and driving automation across build, deployment, and runtime operations.
This role is ideal for someone who enjoys owning production systems end-to-end, is driven by improving service reliability, and takes a pragmatic, engineering-led approach to solving operational challenges.
Role
This role involves working within a high-performing, globally distributed Agile team to build, operate, and evolve low latency, high throughput services that power real-time fraud decisioning on the Mastercard Fraud Platform. In this role, you will be responsible for:
- Develop and maintain CI/CD pipelines to enable reliable, repeatable deployments.
- Deploy, operate, and troubleshoot services across hybrid environments, including AWS (EKS/Kubernetes), on-premise cloud platforms, and traditional on-premise infrastructure, ensuring consistency, reliability, and scalability across all environments.
- Work closely with platform teams to improve environment stability, scalability, and developer experience.
- Contribute to improving reliability and observability, aligning with SRE best practices.
- Work as part of a co-located Agile Scrum team.
- Work closely with Product Owners, Business Analyst, Systems Analyst, Technical leads and other developers to define user stories.
- Develop high-quality, scalable and secure software solutions.
- Assist with operational issues by troubleshooting incidents.
- Research alternative technical solutions to meet changing business needs.
- Work with project team to meet due dates, while working through emerging issues and recommending solutions.
- Produce design documentation in accordance with Mastercard documentation standards.
Skills
- Experience of building CI/CD pipelines using tools such as Jenkins, Github Actions, Python and shell scripting
- Ability to design and maintain end-to-end deployment pipelines (build, test, deploy, rollback).
- Hands-on experience with monitoring, logging, and alerting tools (e.g., Splunk, Dynatrace, OpenTelemetry).
- Experience with build tools (Maven/Gradle) and dependency management.
- Exposure to configuration management and automation tools (Chef or equivalent).
- Experience with cloud platforms (AWS, Azure)
- Experience with containerization (Docker) and image lifecycle management.
- Experience with Infrastructure as Code (IaC) concepts and tools (e.g., Terraform, CloudFormation or similar).
- Understanding of platform engineering principles, including building reusable deployment templates and shared services.
- Experience supporting multi-environment setups (dev, test, staging, production) with proper isolation and governance.
- Strong troubleshooting skills in Linux-based production environments.
- Awareness of SRE principles and reliability practices.
- Experience developing and integrating AI-driven workflows and automation for use cases such as incident analysis, anomaly detection, and intelligent observability or CI/CD enhancements.
- Passionate about Agile software development and working with SAFe or Scrum.
Nice to Have
- Proficiency with Java JDK 8 or greater.
- Expertise in Junit or other automated unit testing frameworks.
- Knowledge of Tomcat, Spring, Spring Boot
- Experience with SQL, Multi-threading, Message Queuing systems.
- Knowledge of distributed systems and messaging queuing systems.
- Knowledge of Business Rules Management Systems.
Other
- Excellent communication (verbal and written) and strong collaboration skills.
- Show initiative and demonstrate a willingness to take on challenging opportunities.
- Passionate about code quality and coding best practices.
- Must be driven, highly motivated and a strong team-player.
- Interested in cultivating a high performance team environment.
- Fluency in English.
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
Software Engineer II at Mastercard rates 10 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. Open the description and count.
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Pay
- Typical software engineer job
- $168k
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