Description

Must Have Technical/Functional Skills

Lead architecture, design, and development of enterprise-grade applications and microservices.

• Define technical standards, best practices, and coding guidelines across engineering teams.
• Review solution designs, code quality, performance, and security compliance.
• Provide technical mentorship and guidance to development teams.
• Drive technology modernization initiatives and cloud adoption strategies.

Full Stack Development:

• Design and develop scalable applications using Java, Spring Boot, Microservices, and REST APIs.
• Build and maintain robust backend services and API integrations.
• Collaborate with UI development teams for end-to-end solution delivery.
• Troubleshoot complex application, integration, and performance issues.
• Implement secure authentication and authorization mechanisms.

Event-Driven & Integration Solutions:

• Design and develop Kafka-based event-driven architectures.
• Create scalable messaging and asynchronous processing solutions.
• Integrate applications with internal and external systems through RESTful services and APIs.
• Ensure reliability, resiliency, and fault tolerance of integration platforms.

Database & Data Management:

• Design and optimize Oracle database schemas and queries.
• Implement data modeling, indexing, partitioning, and performance tuning strategies.
• Ensure data integrity, security, and compliance with enterprise standards.
• Support database migration and modernization initiatives.
• Cloud & AWS Solutions (Must Have)
• Design, develop, and deploy cloud-native solutions on AWS
• Develop serverless applications using AWS Lambda.

Architect and implement solutions using AWS services including:

1. Lambda
2. API Gateway
3. SQS
4. SNS
5. DynamoDB
6. ECS/EKS
7. CloudWatch
8. IAMS3
9. Bedrock

• Implement Infrastructure as Code (CloudFormation/Terraform preferred).
• Drive cloud security, monitoring, scalability, and cost optimization initiatives.

AI & Generative AI Engineering:

• Design and develop GenAI-powered business solutions using Amazon Bedrock.
• Build, deploy, and manage AI Agents using AWS AI services.
• Integrate Large Language Models (LLMs) into enterprise applications.
• Implement Retrieval Augmented Generation (RAG) frameworks and AI workflows.
• Optimize AI model performance, security, governance, and monitoring.
• Collaborate with business stakeholders to identify AI adoption opportunities.

Collaboration & Stakeholder Management

• Work closely with Product Managers, Architects, Business Analysts, and QA teams.
• Participate in project planning, estimation, and roadmap discussions.
• Communicate technical solutions and risks to technical and non-technical stakeholders.
• Support Agile/Scrum development methodologies

Key Skills

Education

Any Graduate