Senior Software Engineer
Mastercard (company site, opens in a new tab)PuneOn-siteDirect career pageEst. 22–32 LPA
Posted 15h 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
- Develop, mentor team members and maintain hands-on involvement in building high performance applications within the Decision Management program.
- Drive adoption of Quality Engineering methodologies to enhance software development processes and improve test automation and release workflows.
- Collaborate closely with development teams to build reliable, performant, and testable systems using streaming analytics, microservices, and cloud technologies at global scale.
Minimum Requirements
- Strong programming skills in Java, Microservices, Data Structures and Algorithms, and design patterns.
- Experience with test automation frameworks (Selenium WebDriver, TestNG, Junit), scripting languages (shell, python, groovy), and CI/CD tools (Jenkins, Bamboo).
- Proficiency with source control (Bitbucket, Github), containerization and orchestration tools (Docker, Kubernetes), and Agile methodology.
- Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
- Experienced in building real-time decisioning products or streaming analytics platforms with business rules and AI integration.
- Skilled at integrating functional and non-functional testing into development cycles, including automation across multiple platforms (web UIs, APIs, Unix).
- Comfortable working in a cloud environment (preferably AWS) and implementing observability and application performance monitoring tools.