Cloud & AI Services Developer

A Leading Banking & Financial Services Group is seeking an experienced Cloud & AI Services Developer to build and automate cloud platform infrastructure services. In this high-impact engineering position, you will take responsibility for designing cloud-native solutions on AWS, implementing Infrastructure as Code (IaC), and automating cloud database lifecycles. Furthermore, you will leverage GitHub Copilot and Agentic AI frameworks to design innovative automation solutions that enhance data workflows. Consequently, this role is critical for accelerating enterprise cloud migration and platform modernization.

The Cloud & AI Services Developer must combine deep AWS Cloud internals knowledge with practical programming experience in Python, AWS CLI, and serverless architectures. Working within a Scaled Agile (SAFe) environment, you will develop Lambda functions, Step Functions, and IAM policies, deploying them through automated GitHub CI/CD pipelines. Therefore, the organization is looking for a forward-thinking engineer who implements prompt engineering, LLMs, and RAG concepts comfortably. If you want to develop advanced cloud platform automation, this position is for you.

Key Responsibilities

• Design, develop, and manage scalable, secure, and automated cloud-native infrastructure solutions on AWS.
• Provision and maintain cloud infrastructure using Infrastructure as Code (IaC) tools including Terraform and AWS CloudFormation.
• Implement advanced cloud database automation, provisioning, configuration, and Day-2 operational lifecycle management.
• Develop and maintain automated CI/CD deployment pipelines in GitHub following enterprise DevOps best practices.
• Build serverless microservices using AWS Lambda, Step Functions, event-driven architectures, and granular IAM policies.
• Apply GitHub Copilot, Agentic AI frameworks, Prompt Engineering, LLMs, and RAG concepts to accelerate engineering delivery.
• Execute secure data conversion and migration initiatives across hybrid enterprise and public cloud environments.

Requirements and Qualifications

• Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related quantitative field.
• 5+ Years of IT experience with strong hands-on background in code development and Database Management Systems (DBMS).
• 3+ Years of technical experience with Python, AWS CLI/SDK, REST APIs, SQL/NoSQL databases, and Terraform or CloudFormation.
• 2+ Years of experience working with Agentic AI solutions, Prompt Engineering, LLMs, Vector Databases, and RAG architectures.
• Beneficial credentials: AWS Certified Developer or Solutions Architect; experience with Docker, Ansible, or AWS Glue.