Grade 9- Software Development Senior Specialist

Role Description

We are looking for a highly skilled Senior Developer with 8+ years of overall IT experience and strong hands-on expertise in AWS cloud development and AI-driven solution engineering. The candidate will play a key role in developing, deploying, and supporting AWS Platform-to-Application (P2A) initiatives and Agentic AI-based enterprise solutions.

This role requires strong coding capabilities, real-time AWS deployment experience, and practical exposure to Generative AI and Agentic AI systems. The ideal candidate should be execution-focused, technically strong, and capable of working independently in production environments.

Role Responsibilities

A. AWS Development & Deployment o Design, develop, and deploy scalable applications on AWS.

o Implement cloud-native architectures using serverless and container-based services.

o Support AWS P2A deployment activities under architectural guidance.

o Develop Infrastructure as Code (IaC) using Terraform / CloudFormation.

o Implement CI/CD pipelines and DevOps best practices.

o Ensure secure, resilient, and cost-optimized AWS implementations.

o Participate in environment setup, configuration, and production releases.

o Troubleshoot and resolve production issues in real-time deployments.

B. Agentic AI & AI Solution Development o Develop AI-powered applications leveraging LLMs and foundation models.

o Implement RAG (Retrieval-Augmented Generation) pipelines.

o Build and integrate multi-agent workflows and orchestration logic.

o Integrate vector databases for contextual AI applications.

o Work with AWS Bedrock / SageMaker for AI model integration.

o Implement prompt engineering techniques and AI evaluation strategies.





o Ensure production readiness, monitoring, and logging of AI solutions.

C. Application Engineering o Develop REST APIs and microservices (FastAPI / Flask preferred).

o Write clean, maintainable, and production-grade Python code.

o Implement secure authentication and authorization mechanisms.

o Perform unit testing, integration testing, and performance tuning.

o Collaborate with architects, DevOps teams, and AI specialists.

o Participate in code reviews and technical discussions.

Mandatory Technical Skills

AWS (Solid Hands-On Experience Required)

o Minimum 4–5 years of hands-on AWS experience.

o Core services: EC2, S3, Lambda, API Gateway, RDS, DynamoDB.

o Networking basics: VPC, Security Groups, Load Balancers.

o Containerization: Docker, EKS/ECS.

o IAM roles and security best practices.

o Monitoring: CloudWatch.

o Infrastructure as Code: Terraform or CloudFormation.

o Experience in real-time production deployments.

AI / GenAI / Agentic AI o Experience developing LLM-based applications.

o Hands-on experience with:

 LangChain / LangGraph / LlamaIndex or similar frameworks.

 RAG implementation.

 Vector databases (FAISS, Pinecone, OpenSearch, pgvector).

o Understanding of embeddings, tokenization, and prompt engineering.

o Exposure to multi-agent or workflow orchestration frameworks.





o Experience integrating OpenAI / Bedrock / similar foundation models.

Programming o Strong proficiency in Python (mandatory).

o Experience with REST APIs (FastAPI / Flask).

o Familiarity with Git and CI/CD tools.

o Robust debugging and troubleshooting skills.

Desired Skills o Experience with AWS Bedrock or SageMaker.

o Kubernetes exposure.

o Event-driven architecture (SNS/SQS/Kafka).

o Knowledge of AI model monitoring and guardrails.

o Experience with frontend frameworks (React/Angular).

o Exposure to DevSecOps practices.

o Knowledge of database optimization (SQL/NoSQL).

Behavioral & Professional Traits

Technical Execution o Strong hands-on developer mindset.

o Ability to independently handle development and deployment tasks.

o Detail-oriented and quality-focused.

Problem Solving o Strong debugging and root cause analysis skills.

o Ability to work in production support scenarios.

Communication Skills o Good verbal and written communication.

o Ability to interact with architects and senior stakeholders.

o Ability to clearly articulate technical issues and solutions.

Collaboration o Works effectively in Agile teams.

o Proactive in identifying risks and proposing solutions.

o Willingness to learn emerging AI technologies.

Experience requirement

o 8+ years of overall IT experience.

o 4–5 years of AWS hands-on experience.

o 1–2 years of experience in AI/GenAI solution development.

o Experience working in enterprise-level production environments.

Educational Qualification o Bachelor’s degree in Computer Science, Engineering, or related field.

o AWS Associate certification preferred.

o AI/ML certifications are an added advantage.

📌 Software Development Senior Analyst (Chennai)
🏢 NTT DATA Services
📍 Chennai