MastercardSoftware Engineer II | Data & AI Platform
Mastercard is hiring a Software Engineer II | Data & AI Platform 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.
- Tools and skills the posting cites include Databricks, software engineering and api development.
- 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
Builds and operates services, APIs, connectors, and automation for customer data exchange on a data and AI platform team.
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 | Data & AI PlatformWho 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
Data Foundations, part of Business & Market Insights, solves shared data problems for Mastercard's analytics products: secure customer data exchange, consistent business definitions and metrics, reference datasets, data quality and AI-assisted customer data onboarding. Engineering and product set direction together, and we own outcomes, not just delivery. Where enterprise platforms fit, we reuse and shape them. Where there is a shared gap, we solve it once.
We are looking for a Software Engineer II to join our growing Pune-based team. You will start with reliable ingestion of customer and third-party data, independently delivering defined components and working with senior engineers on bigger design decisions. This role focuses on platform software and automation; if you mainly build data transformations and datasets, see our Data Engineer II role. In your first few months you will deliver scoped features and fixes, join production support and automate a manual operational step.
Role
- Build, test and operate services, APIs, connectors and automation for customer data exchange, workspace setup and pipeline orchestration.
- Deliver defined components independently, from technical approach through release, monitoring and support.
- Write automated tests and useful documentation.
- Replace manual operational steps with code.
- Investigate production issues, fix defects and support root cause analysis.
- Break down and estimate work, give input on design, feasibility and risk, and give and receive code review feedback.
All About You
- Intermediate skills in Python or another language such as Java, Scala or C#/.NET, plus working SQL.
- Knowledge of source control, automated testing, secure coding, code review and CI/CD.
- Experience building software on a public cloud; we use AWS and Databricks.
- Interest in data platforms and how data moves between systems.
- Product curiosity: you ask who needs the work and why.
- Clear communication and practical use of AI tools, with sound judgement on when to trust their output.
Desirable:
- Experience with Spark or Snowflake.
- Experience with REST APIs, cloud storage integrations, or C#/.NET and React-based tooling.
- Experience exchanging data with external partners through cloud storage, SFTP or APIs.
- Experience with infrastructure as code or deployment automation.
Corporate Security Responsibility
Every person working for, or on behalf of, Mastercard is responsible for information security. All activities involving access to Mastercard assets, information, and networks comes with an inherent risk to the organization and therefore, it is expected that the successful candidate for this position 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.
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 | Data & AI Platform at Mastercard rates 15 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. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in software engineer jobs at this level
Pay
- Typical software engineer job
- $168k
This posting doesn't list pay. Use the typical software engineer figure when pay comes up. See software engineer jobs
Questions you could be asked
- Tell me about a project where software engineering was part of your work. What did you do?
- Tell me about a project where api development was part of your work. What did you do?
- Tell me about a project where data ingestion was part of your work. What did you do?
- Tell me about a project where pipeline orchestration was part of your work. What did you do?
- Tell me about a project where automation was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Software Engineering, API Development, Data Ingestion, Pipeline Orchestration, and Automation. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
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