JAVA Engineer Drive Face To Face

Role Description

We are seeking an experienced Java Microservices Developer at AVP level with strong system design capabilities, enterprise mindset, and AI-assisted development approach. The role requires designing scalable, secure, and reusable solutions while leveraging AI tools to improve engineering productivity and delivery efficiency.

AI-Assisted Development (Primary Focus)

Actively leverage AI-powered tools (GitHub Copilot, Gemini, etc.) for:

• Accelerating microservices development and API design
• Generating boilerplate code, test cases, and documentation
• Supporting debugging, issue analysis, and performance improvements
• Refactoring code while maintaining standards and quality

Ensure validation of AI-generated solutions for:

• Security, performance, and scalability considerations
• Compliance with enterprise coding guidelines and standards

Drive responsible adoption of AI within the team and identify productivity improvement opportunities

What well offer you

As part of our flexible scheme, here are just some of the benefits that you’ll enjoy

• Best in class leave policy
• Gender neutral parental leaves
• 100% reimbursement under childcare assistance benefit (gender neutral)
• Sponsorship for Industry relevant certifications and education
• Employee Assistance Program for you and your family members
• Comprehensive Hospitalization Insurance for you and your dependents
• Accident and Term life Insurance
• Complementary Health screening for 35 yrs. and above

Your key responsibilities

• Design and develop enterprise-grade Java microservices using Spring Boot aligned to architecture standards
• Define and implement robust API designs including versioning, pagination, error handling, and security best practices
• Ensure APIs are scalable, backward compatible, and follow enterprise API governance standards
• Implement microservices design patterns and choose appropriate solutions for given problem statements
• Work on event-driven architecture using Kafka, messaging queues, and streaming concepts
• Evaluate design trade-offs and provide recommendations for optimal solutions based on performance, cost, and scalability
• Collaborate closely with architects and senior technical leads for solution design and implementation alignment
• Analyze existing systems and ensure enhancements or fixes do not introduce regressions or performance issues
• Drive reusable and extensible design thinking with a focus on long-term maintainability
• Contribute to CI/CD, deployment strategies, and cloud-native implementations
• Provide support for production issues including root cause analysis and stability improvements

Your skills and experience

Architecture and System Design Expectations

• Strong understanding of API design principles including versioning, authentication, authorization, and rate limiting
• Ability to design and implement event-driven systems using Kafka or similar technologies
• Comfortable applying design patterns and selecting appropriate architectural approaches
• Ability to articulate trade-offs between different design options

Database and Data Understanding

• Strong understanding of SQL and NoSQL databases
• Knowledge of ACID vs BASE properties
• Understanding of CAP theorem and distributed data system trade-offs
• Ability to choose appropriate data storage solutions based on use case

Technical Skills

• Java and Spring Boot for microservices development
• REST API design and implementation
• Messaging systems such as Kafka, queues, or streaming platforms
• Databases: Oracle, MS SQL, and exposure to NoSQL databases
• Build tools such as Maven or Gradle
• Version control using Git or Bitbucket
• CI/CD pipelines and artifact management (Artifactory)
• Containerization using Docker and Kubernetes

Cloud and Platform Awareness

• Experience with cloud-based implementations (GCP preferred)
• Understanding of cloud-native architectures and distributed systems

Engineering Practices

• Strong adherence to coding standards and organizational development guidelines
• Focus on writing clean, maintainable, and testable code
• Ability to review code and enforce best practices across the team

Leadership and Collaboration

• Collaborate effectively with technical stakeholders including architects and senior engineers
• Provide inputs on design decisions, trade-offs, and implementation strategies
• Mentor and coach junior developers and support them in resolving BAU issues
• Promote knowledge sharing and continuous learning within the team

Ways of Working

• Experience working in Agile environments
• Strong problem-solving and analytical thinking
• Ability to see the big picture while delivering practical solutions
• Good communication and stakeholder management skills

What Makes This Role Unique

• Strong focus on AI-driven development practices at enterprise scale
• Opportunity to influence system design and architecture decisions
• Combination of hands-on development and technical leadership responsibilities

Proven ability to leverage AI tools to enhance productivity, optimise workflows to solve business problems, while applying critical judgment to ensure responsible and ethical use of data and AI outputs.

How we’ll support you

• Training and development to help you excel in your career
• Coaching and support from experts in your team
• A culture of continuous learning to aid progression
• A range of flexible benefits that you can tailor to suit your needs

About us and our teams

Please visit our company website for further information:

https://www.db.com/company/company.html