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Pune · On-site · 9-12 Yrs · Oct 10
Financial Transaction Processing · 10000+ Employees · Purchase, US
As a technology company in the global payments business our payments processing network, connects consumers, financial institutions, merchants, governments, and businesses in more than 210 countries and territories.
Hiring: Engineering
What employees say
+ Good culture and exposure along with work life balance
− Nothing particular bad as such
More reviews on the company profile.
Interview experience · Product Manager
I completed the entire interview loop for a Product Manager role at Mastercard. All technical and managerial rounds went exceptionally well, and the interviewing panel was professional and engaging. Following the final r
Average difficulty · India · 491 reports
More interview insightsJob description
Overview
Mastercard powers economies and empowers people in 200+ countries and territories worldwide.
Qualifications
- in the software engineering role.
- Technical Expertise
- Strong proficiency in Java 17+, Spring Boot, Spring Framework, Hibernate, and modern database technologies including Oracle, SQL Server, PostgreSQL, Redis, MongoDB, and Elasticsearch.
- Proven experience designing, developing, and leading applications built on microservices-based architectures.
- Hands-on experience with messaging and event-driven platforms such as Kafka, RabbitMQ, AWS SQS, or other cloud-native messaging solutions.
- Front-end development experience using React JS (16+) or Angular (14+).
- Strong working knowledge of HTML, JavaScript, Node.js, UNIX shell scripting, Python, and Groovy scripting.
- Understanding of modern application security, scalability, resiliency, and performance engineering practices.
- Tools & Methodologies
- Proficiency with build and dependency management tools such as Maven and Gradle.
- Hands-on experience with Jenkins, SonarQube, CI/CD pipelines, and Agile software development methodologies.
- Strong understanding of release management practices including Canary, Blue-Green, and Rolling deployments.
- Infrastructure & Cloud
- Extensive experience with public cloud platforms (AWS, Azure, or GCP) and cloud-native application development.
- Strong expertise in containerization and orchestration technologies including Docker, Kubernetes, and OpenShift.
- Deep understanding of DevOps practices, infrastructure automation, deployment strategies, and operational excellence in cloud environments.
- Exposure to monitoring and observability tools such as Splunk, ELK Stack, and related logging platforms.
- AI & Emerging Technologies
- Exposure to Generative AI and Large Language Model (LLM) based solutions, including integrating AI services through APIs and leveraging AI-assisted development tools such as GitHub Copilot and enterprise AI platforms.
- Familiarity with AI-driven application patterns such as Retrieval-Augmented Generation (RAG), intelligent workflows, agentic solutions, and prompt engineering concepts for enterprise applications.
- Familiarity with workflow orchestration and automation platforms including Netflix Conductor, Apache Airflow, Camunda, and N8N.
- Knowledge of OpenTelemetry and distributed tracing concepts.
- Familiarity with business rules engines such as Drools and EasyRules.
- Strong understanding of cryptographic concepts including PKI infrastructure, hashing, encryption, consensus algorithms, and virtual machine architectures.
- 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.
Education
- Bachelor's or Master's degree in Information Technology, Computer Science, Engineering, or a related discipline.
- Strong verbal and written communication skills with the ability to collaborate effectively across multiple organizational levels.
- Around 9 years of
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Job application FAQ
Last updated 27 October 2026
- How do I apply for Lead Software Engineer (Java Full stack developer) at Mastercard?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. Mastercard may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Lead Software Engineer (Java Full stack developer) role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Lead Software Engineer (Java Full stack developer) remote or on-site in Pune, Maharashtra?
- This listing is marked on_site with location Pune, Maharashtra. Confirm details on the job description before applying.
- What skills matter for this Lead Software Engineer (Java Full stack developer) role at Mastercard?
- This is a lead Lead Software Engineer (Java Full stack developer) role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.