Software Engineer II | Data & AI Platform
Mastercard (company site, opens in a new tab)PuneOn-siteDirect career pageEst. 18–32 LPA
Posted 1d ago
Reach people at Mastercard
People at this company you can reach
Log in to see who works here
Create a free account or log in to see the people at Mastercard you could write to:
- Recruiters & HR
- People in this function
- Work addresses
Your match
Against your primary resume
Log in to see your match score
Create a free account or log in to unlock your CV match score across:
- Role fit
- Experience
- Industry relevance
Protocol Intelligence
How competitive this role is
Competition
Background fit
Strictness
Log in to see why each signal reads the way it does.
Job description
Structured overview of role & requirements
About This Role
- Deliver independently defined components of platform software for customer data exchange, workspace setup, and pipeline orchestration including APIs, services, connectors, and automation.
- Build, test, deploy, and operate software with responsibilities spanning design input, estimating, production support, and root cause analysis.
- Automate manual operational processes by replacing them with robust code solutions and maintain relevant documentation and automated tests.
Minimum Requirements
- Proficient in intermediate Python or another language such as Java, Scala, or C#/.NET and working knowledge of SQL.
- Experience building software on public cloud platforms (specifically AWS and Databricks preferred).
- Familiarity with source control, automated testing, secure coding practices, code review, and CI/CD pipelines.
- Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Comfortable working in platform software development with an interest in data platform architectures and data movement between systems.
- Capable of independent delivery of scoped features with practical design and risk assessment input, plus involvement in production support.
- Has product curiosity to understand stakeholder needs and applies sound judgment in using AI tools and code review processes.