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Tier-1 brand, metro location, mid-level generalist backend role with broad cloud/AI skills.
Core Java, Spring, AWS, and Elasticsearch skills are highly transferable across industries.
Mandatory 6+ years plus specific Java, Spring, AWS, Elasticsearch, and AI tooling requirements.
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Lead engineering efforts to develop secure, scalable Java-based technology products within an agile Corporate Technology Risk team.
Drive adoption and governance of AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes with measurable standards.
Act as a subject matter expert influencing product design, technical operations, and promoting firmwide SDLC tools and frameworks.
6+ years of applied software engineering experience with formal training or certification.
Proficient in Java programming including OOPS, Collections, Streams, Lambdas, Exception handling, and Spring Boot framework.
Experience with AWS services: Step Functions, Lambda, S3, ECS/EKS, API Gateway; knowledge of AWS AI/ML and NLP services like Amazon SageMaker, Bedrock, Comprehend, Textract.
Demonstrated leadership in using enterprise-authorized AI-assisted software development tools and understanding of responsible AI use in workflows.
Experienced in system design, application development, testing, and support in complex, regulated environments.
Skilled at integrating and governing AI-assisted engineering tools and practices at scale within software development life cycle.
Knowledgeable in cloud migration readiness with AWS services and advanced AI/ML concepts such as embeddings, NLP, vector search, and RAG patterns.