Software Development Senior Analyst

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 (Strong 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    Strong 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.