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Db

Full Stack Developer (UI + Backend), GCP & AI, AVP

Bangalore, Velankani Tech Park

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hirly's read of this role

Role family
Engineering
Seniority
Mid level
Country
IN
Work mode
On-site / unstated
First seen by hirly
23 Sept 2026

Derived automatically from the posting. Upload your resume above to see how the role scores against it.

the posting

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.

Original posting on Db's site ↗

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