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.
