Job Title- Full Stack Engineer, AVP

Location- Bangalore, India Role Description

We are seeking an experienced Full Stack 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 we’ll 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.

Analyse 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

Java and Spring Boot for microservices development.

Valuable understanding of React, Typescript, CSS3 and HTML5. 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.

Ability to contribute in frontend and backend system.

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.





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

Proven ability to leverage AI tools to enhance productivity, optimize 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

We at DWS are committed to creating a diverse and inclusive workplace, one that embraces dialogue and diverse views, and treats everyone fairly to drive a high-performance culture. The value we create for our clients and investors is based on our ability to bring together various perspectives from all over the world and from different backgrounds. It is our experience that teams perform better and deliver improved outcomes when they are able to incorporate a wide range of perspectives.

We call this #ConnectingTheDots.

📌 Full Stack Engineer, AVP (Bengaluru)
🏢 Deutsche Bank
📍 Bengaluru