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Job Profile
Position details
The Analyst , Software Engineering will contribute to the design, development, testing, and support of data-driven and AI-enabled applications. The role requires approximately two years of hands-on experience with Python, SQL, REST APIs, AWS services, and modern software-development practices.
The successful candidate will work with senior engineers, architects, product teams, and business stakeholders to build secure and maintainable application components, integrate enterprise data and services, and develop Generative AI capabilities using AWS Bedrock and related technologies. The role is suitable for an early-career engineer who demonstrates strong fundamentals, curiosity, attention to detail, and a willingness to learn in a regulated financial-services environment.
Roles and Responsibilities
Build next-generation AI engineering frameworks, chat agents, and automation capabilities that accelerate software delivery along with building global enterprise-scale data products using AI framework.
· Develop, test, and maintain Python-based application components, utilities, automation scripts, and data-processing services under the guidance of senior engineers.
· Write and optimize SQL queries for data extraction, validation, transformation, reconciliation, and application-support activities across relational databases.
· Design, consume, and support REST APIs, including request and response handling, authentication, input validation, error handling, logging, and integration testing.
· Contribute to AI-enabled application development using AWS Bedrock, including model invocation, prompt implementation, response processing, guardrails, and integration with enterprise applications.
· Assist in building retrieval-augmented generation (RAG), knowledge-base, document-processing, semantic-search, and chat-with-data capabilities using approved data sources and access controls.
· Use relevant AWS services such as Lambda, API Gateway, S3, RDS/Aurora, Step Functions, EventBridge, SQS, CloudWatch, IAM, Secrets Manager, KMS, and Bedrock to support cloud-native applications.
· Create unit and integration tests, participate in code reviews, troubleshoot defects, and follow secure coding, source-control, CI/CD, and software-development standards.
· Work with business analysts, product owners, developers, testers, and support teams to understand requirements and deliver reliable technical solutions.
· Create and maintain technical documentation, including API specifications, data mappings, implementation notes, support procedures, and knowledge articles.
· Provide production-support assistance by reviewing logs, analyzing application or data issues, documenting findings, and escalating complex problems to the appropriate teams.
· Follow applicable information-security, data-protection, responsible AI, change-management, and operational-risk requirements when handling banking data and AI-enabled functionality.
Job Requirements:
Bachelors’ Degree (or foreign equivalent degree) in Information Technology, Information Systems, Computer Science,…