Deutsche BankPosted 2d ago
Full Stack Developer (UI + Backend), GCP & AI, AVP at Deutsche Bank scores 44 out of 100 on AI centrality, which makes it AI Level 2 of 4 (Uses AI) on this board. The level measures how much of the work is AI, not seniority.
AI in this role
Job Description:
Job Title: Full Stack Developer (UI + Backend), GCP & AI, AVP
Location: Bangalore, India
Role Description
As part of our Technology, Data and Innovation (TDI) organization, you will build next-generation solutions for the Transaction Monitoring and Data Controls domain. Our strategy emphasizes engineering excellence, agile delivery, cloud modernization, and AI-driven automation.
This role requires strong full-stack expertise across both UI development and backend engineering. You will design, develop, and operationalize scalable applications across the stack, while also identifying opportunities to implement Agentic AI solutions that improve efficiency, controls, and decision-making.
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
Build and deliver end-to-end solutions across frontend UI and backend services
Develop responsive, reusable, and accessible user interfaces for business-critical workflows
Design and implement Java-based microservices and REST APIs using Spring Boot
Integrate frontend applications with backend services, event streams, and data platforms
Develop cloud-native applications on GCP (App Engine, GKE, Cloud Run)
Build event-driven and data-processing pipelines using Kafka and Spark
Contribute to LLM/Agentic AI and RAG-based automation use cases
Drive application performance, resiliency, fault tolerance, observability, and security best practices
Collaborate with Cloud Platform, Security, Data, Risk, and Compliance teams to deliver enterprise-grade solutions
Promote code quality, reuse, and engineering standards across globally distributed teams
Your skills and experience
Strong hands-on experience in both UI and backend development
Backend: Java (8/11/17+), Spring Boot, Microservices, transactional databases
Frontend/UI: React or Angular, TypeScript/JavaScript, responsive design, component-based architecture, API integration
Experience with REST APIs, event-driven architecture, and Kafka
Exposure to Java data processing frameworks such as Apache Spark
Proven experience with GCP services such as App Engine, GKE, and Cloud Run
Experience building scalable, high-volume applications with performance tuning and resilience engineering
Experience with at least one data storage technology (e.g., Oracle, BigQuery)
Experience with CI/CD tools such as TeamCity, Jenkins, or GitHub Actions
Experience designing end-to-end enterprise solutions in cloud-native environments (AWS/GCP/Azure)
Strong verbal and written communication skills, with experience in global collaboration
Practical experience in LLM-based application development and Agentic AI frameworks (LangChain, Google ADK, CrewAI), including RAG patterns
Preferred Qualifications
Experience with Red Hat OpenShift
Experience with Kotlin
Security implementation experience (OAuth2/OIDC)
Frontend testing experience (Jest, Cypress, Playwright)
Experience in large-scale data integration projects/products
Data engineering experience (partitioning and optimization for retrieval/insert performance)
Experience handling confidential data and implementing privacy-preserving design approaches
Domain experience in payment screening, fraud detection, integrity monitoring, or payment lifecycle management
Experience with Drools or similar rules engines
Knowledge of data quality, lineage, observability, and data security principles
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
We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively.
Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group.
We welcome applications from all people and promote a positive, fair and inclusive work environment.
Prepare for this job
A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.
Skills and AI tools this role asks for
Questions you could be asked
- How would you design a retrieval step so the model answers from real data instead of guessing?
- Walk me through how you've used LangChain in your day-to-day work.
- What are the limits of CrewAI that you've run into, and how did you work around them?
- This role expects you to use AI tools as part of the job. Which ones have you used, and for what?
- Tell me about a time an AI tool got something wrong. How did you catch it?
Adapt your resume
- List these exact terms on your resume: Rag, LangChain, and CrewAI. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
- Put the AI tool in a bullet point about what you did, not just in a skills list — this role treats it as a required part of the job.
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