Software Engineer II

Mastercard is hiring a Software Engineer II in Pune, India. Level rates it ; you can apply on Mastercard.

Level's read on this job

On Level's scale, this software engineer role is Little AI ●○○○: aI is not part of the work.
Level classifies it as a mid-level role.
Level lists 1,100+ other open roles at Mastercard.
The role was posted in the last few days.

AI in this role

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

Who is Mastercard?

Mastercard is a global technology company in the payments industry. Our mission is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential.

Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all.

Overview:
The Mastercard Transaction Stream team is involved in developing cutting-edge solutions to deliver the Next Generation of Core Payment Products for Mastercard. These cutting-edge solutions are built on the Digital Network Architecture, Cloud Native principles and in a Scaled Agile Framework.

As a Software Engineer II on the Transaction Stream team, you will contribute to the design, development, integration, automation, and delivery of highly scalable payment solutions. You will collaborate closely with cross-functional teams to transform business requirements into robust software capabilities while ensuring platform reliability, performance, and engineering excellence.

The Role:
• Work as a Transaction Stream team member to deliver end-to-end product validation for Transaction Stream.
• Play a crucial part in helping drive Quality to help build and ship better products.
• Drive test engineering methodologies, Mastercard standards and help build high quality software.
• Leverage GenAI tools and agents to bring productivity and speed
• Help make Quality as an integral part of the development process.
• Proactively monitor customer insights and production issues to seek quality feedback and improve processes to enhance quality of the product/capability.
• Drive quality automation and self-service culture as a part of software delivery practices.
• Acts as first-review for project-level reviews, walkthroughs and inspections.
• Communicate effectively and coordinate with various global groups in MasterCard to ensure success of the projects, including Business Owners, Product Owners, Enterprise Architecture teams, Other product teams etc.
• Lead various initiatives for improving automation, defect metrics and overall quality. Conduct various Proofs-of-concept as per technological and business needs

All About You:
Bachelor's or Master's Degree in Computer Science, Software Engineering, or equivalent.
• Strong analytical, organizational, and problem-solving skills with exceptional attention to detail. (Must)
• Ability to analyze technical requirements systematically and deliver effective engineering solutions. (Must)
• Experience in software development, unit testing, functional testing, and integration testing. (Must)
• Strong hands-on experience developing automation frameworks and software solutions using Java. (Must)
• Experience building, testing, and supporting applications across Microservices, Event-Driven Architectures, and Database platforms. (Must)
• Experience working with various communication protocols (SFTP, Sockets, HTTPS, RPC, etc.) and CI/CD pipelines. (Must)
• Working knowledge of payment simulation tools such as T3 (or similar tools) and ISO 8583 payment protocols. (Must)
• Strong understanding of card payments, transaction processing, message flows, and financial messaging formats.
• Understanding of cloud-native platform architectures and microservices-based application development. (Preferred)
• Passion for emerging technologies and modern software engineering practices, especially Event-Driven Architecture and modern caching/persistence mechanisms.
• Experience with Digital Native Architecture, Spring Boot, Cloud technologies (preferably Pivotal Cloud Foundry), and Agile (SAFe) development environments.
• Strong communication and stakeholder management skills with experience collaborating across Product, Architecture, Engineering, Quality, and Vendor teams.
• Ability to provide technical guidance and contribute to engineering best practices across teams.
• Strong coordination and organizational skills with the ability to work effectively across global teams and stakeholders.
• Demonstrated experience working in Agile (SAFe) environments with a focus on delivering high-quality software solutions.

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 34 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.

●●●● 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. Read the description and count the AI tools, models and workflows it names.