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Tier-1 brand, metro location, and a mid-level generalist backend role with broad skills raise competition.
Core Java, Spring and cloud backend skills are broadly transferable across industries.
Explicit 6+ years plus mandatory Java, Spring, AWS, AI governance and system-design requirements create strict filters.
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Provide technical guidance and direction to business, technical teams, contractors, and vendors within an agile environment.
Develop, review, and debug secure, high-quality production code focusing on Java, Spring Boot, REST APIs, and AWS services.
Drive adoption and governance of AI-assisted engineering practices across teams to improve code quality, delivery speed, operational outcomes, and establish measurable validation standards in the SDLC.
6+ years of applied software engineering experience with formal training or certification in software engineering concepts.
Proficiency in Java (OOPS, Collections, Streams, Lambdas, Exception handling), Spring Boot framework, REST API design, and AWS services (Step Functions, Lambda, S3, ECS/EKS, API Gateway).
Experience leading enterprise-authorized AI-assisted software development tools, including validation of AI outputs for correctness, performance, and security.
Working knowledge of AWS AI/ML and NLP services (Amazon SageMaker, Bedrock, Comprehend, Textract), Elasticsearch, relational databases, SQL, CI/CD pipelines, and agile development practices.
Experienced in applying AI-assisted engineering practices at enterprise scale with strong knowledge of secure and compliant AI workflows.
Skilled in cloud migration and AWS ecosystem integration with full-stack development experience in Java and Spring Boot.
Able to influence product design and technical operations as a subject matter expert in SDLC tools, AWS services, and AI/ML technologies within a risk technology context.