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Tier-1 brand, generic Software Engineer title, mid-level experience, and metro role drive high competition.
Core Java, backend, and cloud skills are broadly transferable, though payments domain adds moderate specialization.
Explicit 3+ years plus extensive mandatory Java, cloud, and distributed-systems stack makes shortlisting highly strict.
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Design, develop, and troubleshoot secure, scalable software solutions within the Payments Technology team.
Create and maintain high-quality production code and algorithms integrating with enterprise systems.
Leverage and validate enterprise-authorized AI coding assist tools to improve code quality, delivery speed, and team effectiveness.
3+ years of applied experience with formal training or certification in software engineering concepts.
Strong development skills in Java, Spring Boot, RESTful APIs, Kubernetes, Kafka, Elasticsearch, and Spark.
Practical experience with Public Cloud technologies such as ECS, S3, Lambda, OpenSearch, MongoDB Atlas, Snowflake, Athena, and Glue.
Experience using enterprise-authorized AI-assisted software development tools and understanding of responsible AI use in workflows.
Experienced in system design, application development, testing, and operational stability within large corporate environments.
Proficient in agile methodologies including CI/CD, application resiliency, and security.
Capable of analyzing large diverse data sets to identify issues and drive improvements in code quality and system architecture, with ability to guide peers on secure AI tool usage.