Software Development Senior Analyst

Grade 8 - Specialist

Role Description:

We are seeking a skilled Developer with 5+ years of overall IT experience and strong hands-on exposure to AWS cloud development. The candidate will contribute to the design, development, and deployment of AWS-based applications and support implementation of AI and Agentic AI solutions under architectural guidance.

This role requires solid coding capabilities, real-time AWS deployment exposure, and foundational knowledge of Generative AI and LLM-based application development.

Role Responsibilities:

• AWS Development & Deployment
• Develop and deploy cloud-native applications on AWS.
• Implement backend services using AWS services such as Lambda, EC2, S3, RDS, DynamoDB.
• Assist in AWS Platform-to-Application (P2A) implementation activities.
• Support Infrastructure as Code (IaC) implementations using Terraform or CloudFormation.
• Participate in CI/CD pipeline implementation and deployment automation.
• Configure IAM roles, policies, and security groups under guidance.
• Monitor applications using CloudWatch and assist in troubleshooting production issues.
• Support release management and environment configurations.
• Agentic AI & AI Solution Development
• Contribute to development of LLM-based applications.
• Assist in building Retrieval-Augmented Generation (RAG) pipelines.
• Integrate APIs of foundation models (OpenAI / Bedrock / similar).
• Work with vector databases for AI-powered search solutions.
• Support prompt engineering and basic AI evaluation tasks.
• Participate in deployment of AI workloads on AWS.
• Application Development
• Develop REST APIs using Python (FastAPI / Flask preferred).
• Write clean, maintainable, and testable code.
• Perform unit testing and assist in integration testing.
• Debug and fix defects in development and production environments.
• Collaborate with senior developers and architects.
• Follow secure coding and DevOps best practices
  
  

Mandatory Technical Skills:

AWS (Hands-On Required)

• 2–3+ years of hands-on AWS development experience.
• Experience with:
• EC2, S3, Lambda
• API Gateway
• RDS / DynamoDB
• VPC basics and Security Groups
• Basic understanding of IAM roles and policies.
• Exposure to Docker and container-based deployments.
• Familiarity with CloudWatch monitoring.
• Experience in application deployment to AWS environments
  
  

AI / GenAI / Agentic AI

• Basic experience working with LLM APIs.
• Understanding of RAG concepts.
• Exposure to frameworks like LangChain (preferred).
• Awareness of embeddings and vector databases.
• Basic understanding of prompt engineering.
  
  

Programming

• Strong proficiency in Python (mandatory).
• Experience with REST APIs (FastAPI / Flask).
• Familiarity with Git and CI/CD tools.
• Strong debugging and troubleshooting skills.
  
  

Desired Skills

• Experience with AWS Bedrock or SageMaker.
• Kubernetes exposure.
• Event-driven architecture (SNS/SQS/Kafka).
• Knowledge of AI model monitoring and guardrails.
• Experience with frontend frameworks (React/Angular).
• Exposure to DevSecOps practices.
• Knowledge of database optimization (SQL/NoSQL).
  
  

Behavioral & Professional Traits

Technical Execution

• Strong hands-on developer mindset.
• Ability to independently handle development and deployment tasks.
• Detail-oriented and quality-focused.
  
  

Problem Solving

• Good debugging and troubleshooting ability.
• Analytical thinking skills.
  
  

Communication Skills

• Good verbal and written communication.
• Ability to interact with architects and senior stakeholders.
• Ability to clearly articulate technical issues and solutions.
  
  

Collaboration

• Works effectively in Agile teams.
• Proactive in identifying risks and proposing solutions.
• Willingness to learn emerging AI technologies.
  
  

Experience requirement:

• 5+ years of overall IT experience.
• 2–3 years of AWS hands-on development experience.
• Exposure to AI/GenAI-based application development is preferred.
• Experience working in development and deployment environments.
  
  

Educational Qualification

• Bachelor's degree in Computer Science, Engineering, or related field.
• AWS Associate certification preferred.
• AI/ML certifications are an added advantage.