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Tier-1 employer, metro location and broad backend engineering expectations increase applicant competition.
Core Java backend and cloud skills are transferable but payments and enterprise AI/integration experience increase domain specificity.
Extensive mandatory Java, Spring, containerization, CI/CD, testing, and performance engineering skills imply strict shortlisting.
Develop and deliver high-performance Java-based software solutions, ensuring quality and alignment with development standards.
Design complex applications, interfaces, and integrations at an enterprise level, including middleware and custom interfaces.
Lead performance engineering and provide technical guidance, training, and domain expertise to other developers, while engaging in research and strategic communications.
Proficiency with Java JDK 17+, Tomcat, Spring, Spring Boot, Shell Scripting, JSON.
Experience with Docker, Kubernetes or similar container orchestration solutions.
At least some work experience as a software engineer or developer: Work Experience Required: Not explicitly mentioned in the JD.
Knowledge of CI/CD tools (e.g., Jenkins, Gradle, Maven), Source Control Management, and experience with automated testing frameworks like Junit.
Experienced in applying AI-assisted development tools and workflows, including configuring reusable AI workflows and validating AI-generated outputs.
Comfortable leading complex software engineering projects in agile and global market environments, with ability to mentor junior developers.
Skilled in integrating AI workflows into development and deployment pipelines, and in enterprise-level middleware integration.