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Tier-1 brand, mid-level generalist backend role in Mumbai with broad required skills increases competition.
Core Java backend skills are transferable, but payments and enterprise banking context raises moderate domain specificity.
Explicit 3+ years, mandated Java/Kubernetes/Kafka/Spark and security/AI requirements enforce strict filtering.
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Design, develop, and maintain secure, stable, and scalable software solutions using Java, Spring Boot, and AWS technologies within payments technology.
Own architecture and design artifacts for complex applications, ensuring software code adheres to design constraints and production quality standards.
Leverage and validate enterprise-authorized AI-assisted development tools to improve code quality, delivery speed, and team productivity, while analyzing data to drive continuous software improvements.
3+ years of applied software engineering experience with formal training or certification in software engineering concepts.
Strong hands-on experience in Java, Spring Boot, RESTful APIs, Kubernetes, Kafka, Elasticsearch, Spark, and Public Cloud technologies including ECS, S3, Lambda, OpenSearch, MongoDB Atlas, Snowflake, Athena, Glue.
Experience working in a large corporate environment developing, debugging, and maintaining code with modern programming and database querying languages.
Experience using enterprise-authorized AI-assisted software development tools with proven ability to validate AI-generated outputs and knowledge of responsible AI use in engineering workflows.
Experienced software engineer comfortable designing and delivering complex, scalable applications in payments technology using full SDLC knowledge and agile methodologies.
Skilled in cloud-native development with in-depth Java and AWS tech stack expertise and operational focus on security, resiliency, and application stability.
Familiar with advanced AI-assisted coding tools and capable of leading peers in safe, secure integration of AI into software development processes.