Mastercard OFF Campus Drive 2023 Invites Students From Various Disciplines to apply for the Position of Software Test Engineer In Pune, India. Below you will find more details about what you need to know if you are Interested and Eligible
Mastercard Recruitment Details :-
| Company Name: | Mastercard |
| Post Name: | Software Test Engineer |
| Salary: | INR 6.2-8.4 LPA (Expected) |
| Degree: | Bachelor’s Degree |
| Batch: | 2020/2021/2022/2023/2024 |
| Experience: | Fresher |
| Job Location: | Bangalore, India |
Job Description & Responsibilities:-
- Our software applies a combination of high performance machine learning algorithms and common logic expressions to predict thousands of inferences per second.
- Our SET for model integration assists our dev ops, dev and machine learning teams to validate that models are ready for market with the technical and business performance our customers expect.
- You will also be part of a larger team who are responsible for packaging AWS ready software components into repeatable on-behalf implementations to host a variety of predictive models deployed on the Mastercard payments networks for real-time detection, and customer on-premise implementations for their own common internal risk use cases.
Eligibility Criteria:-
- Intermediate knowledge in SQL (Oracle, Postgres, SQL Server)
- Keen interest in fraud detection and security.
- Bachelors in Computer Science or related field
Preferred Skill Set:-
- Analyze requirements, develop and execute test cases for Brighterion’s suite of products including cloud and on-prem solutions and provide detailed testing reports
- Expert knowledge in Unix, Linux, and Windows
- Expert scripting knowledge (Bash, Perl, Python)
- Expert automation experience in JavaScript based applications
- Experience with at least one object-oriented language such as Java, C++
- Strong experience in AWS services such as EC2, S3, ElasticSearch, Redis, API Gateway, ECS, Kafka, Cloudwatch
- Strong knowledge of API automation
- Exposure to common cloud service orchestration and deployment technology like Kubernetes and Docker
