The team

Deloitte’s Technology & Transformation practice can help you uncover and unlock the value buried deep inside vast amounts of data. Our global network provides strategic guidance and implementation services to help companies manage data from disparate sources and convert it into accurate, actionable information that can support fact-driven decision-making and generate an insight-driven advantage. Our practice addresses the continuum of opportunities in business intelligence & visualization, data management, performance management and next-generation analytics and technologies, including big data, cloud, cognitive and machine learning.

Your work profile

• Have 10+ years of experience in Java Web based application development with 3+ years' experience in guiding developers with technical help
• Lead the design process by analyzing user requirements and translating them into scalable technical solutions.
• Mentor and guide team members, ensuring adherence to coding standards and architectural principles.
• Provide technical delivery of software as per the specifications and design guidelines.
• Plan and allocate tasks effectively, ensuring collaboration across relevant project teams.
• Oversee the development lifecycle, ensuring module compatibility and integration.
• Actively participate in sprint planning, code reviews, and continuous improvement.
• Manage deployments using Azure DevOps CI/CD pipelines
• Identify and resolve issues during testing phases while continuously improving deliverable quality.
• Collaborate with cross-functional teams and technology stakeholders to deliver high-quality solutions.
• Champion Agile methodologies, fostering best practices within the development team.
• Strong experience in JAVA and J2EE technologies with Cloud based environment.
• Expert knowledge in JPA, Hibernate, JDBC, SQL, Springboot, JUnit and JSON, REST/JSON web services.
• Strong knowledge in Java Design Patterns.
• Strong Object-Oriented design skills and understanding of MVC.
• Sufficient experience with Git to organize a large software project with multiple developers to include branching, tagging, and merging.
• Hands-on experience with Azure or AWS Cloud, including components such as Blob Storage, Service Bus (Queue, Topics, Relay), App Insights, Azure Table, App Server, and Cloud Server or AWS services like ECS, S3, Lambda, Cloudwatch, etc.,
• Knowledge of Azure CI/CD pipelines for automated deployments.
• Excellent problem-solving and leadership skills, with the ability to manage complex projects and guide teams effectively.

Key skills required:

Tech Stack:

• JAVA and J2EE technologies with Cloud based environment.,
• JMS, JPA, Springboot, Hibernate, JDBC, SQL, Spring, JUnit
• REST/JSON web services,
• Java Design Patterns

Cloud & Infrastructure

Amazon AWS cloud

• Simple Storage Service (S3) – for file and object storage.
• Amazon SNS / SQS – for messaging and integration.
• Amazon Kinesis – for streaming scenarios
• Amazon Lambda – for low‑volume, event‑driven, or scheduled services
• Amazon Fargate – for long running, higher volume microservices.
• Amazon Cloud Watch – for monitoring and diagnostics.
• Application Load Balancer (ALB) – To route internal & external traffic.
• Amazon API Gateway – To expose services externally.
• Amazon Aurora (PostgreSQL) – Relational SQL Database used by services.
• Amazon DynamoDB – for No-SQL use cases that requires scalability & low latency.

Microsoft Azure cloud

• Azure Blob Storage – for file and object storage.
• Azure Service Bus (Queues, Topics, Relay) – for messaging and integration.
• Azure Functions / Logic Apps – for serverless workflows.
• Azure App Services – for hosting web applications.
• Azure Monitor / App Insights – for monitoring and diagnostics.
• Azure Table Storage – for structured NoSQL data.

DevOps & Version Control

• Azure DevOps – for CI/CD pipelines and release management.
• GitHub – for source control, branching, and collaboration.

Testing

• Unit Testing Frameworks (e.g., MSTest, xUnit, NUnit).
• Integration Testing Tools for API and data validation.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.