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NationsBenefits

Associate Technical Lead - Java Developer (Azure & Tokenization)

Reposted 7 Days Ago
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In-Office
Hyderabad, Telangana, IND
Senior level
In-Office
Hyderabad, Telangana, IND
Senior level
Seeking an Associate Technical Lead with extensive Java development experience, including mentoring skills and expertise in Azure, CI/CD, and security in regulated environments.
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Requirements:

  • Education: Bachelor’s degree in computer science, Information Technology, or a related field.
  • Experience: 8-12 years in Java development, with 3+ years of experience mentoring or coaching individual contributors.
  • Technical Expertise: Java (Spring Boot, Hibernate), microservices architecture, RESTful APIs, SQL/NoSQL databases.
  • Cloud & DevOps: Experience with Azure, CI/CD pipelines, and version control (Git, Jenkins, Kubernetes, Docker).
  • Agile & Collaboration: Strong understanding of Agile methodologies, team leadership, and cross-functional collaboration.
  • Problem-Solving & Security: Proven ability to design and deploy secure applications in a regulated environment.

Preferred Qualifications:

  • Payment Tokenization and MDES: Proven experience with payments tokenization systems and a deep understanding of the Mastercard Digital Enablement Service (MDES), including its APIs and integration patterns.
  • Secure Credential Provisioning: Expertise in secure credential provisioning, token management, and compliance with industry standards like EMVCo and PCI DSS.
  • Azure Cloud Expertise: Proficient in using Azure services like Azure Functions, Azure Key Vault, and Azure App Service to build scalable and resilient payment processing applications. A strong grasp of cloud security principles and best practices for handling sensitive data is essential.
  • DevOps & Automation: Hands-on experience with Jenkins, Kubernetes, and cloudbased CI/CD pipelines.
  • Full-Stack Exposure: Familiarity with front-end frameworks like React or Angular.
  • Big Data & Messaging Systems: Knowledge of Kafka, Hadoop, and distributed data processing tools.

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