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

📍 Job Overview

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

Company: Deutsche Bank

Location: Bangalore, India

Job Type: Full time

Category: Revenue Operations / Sales Operations / GTM Technology Infrastructure

Date Posted: 2026-07-31

Experience Level: 5-10 Years

Remote Status: On-site

🚀 Role Summary

• Design, develop, and operationalize scalable full-stack applications, integrating UI and backend services for critical business functions within the Transaction Monitoring and Data Controls domain.

• Leverage Google Cloud Platform (GCP) services to build cloud-native applications and event-driven data processing pipelines, emphasizing engineering excellence and agile delivery.

• Implement Agentic AI and RAG (Retrieval-Augmented Generation) solutions to drive automation, enhance operational efficiency, and improve decision-making processes.

• Champion best practices in application performance, resiliency, fault tolerance, observability, and security across globally distributed teams to ensure enterprise-grade solution delivery.

📝 Enhancement Note: This role, while titled "Full Stack Developer," has significant implications for Revenue Operations (RevOps) and GTM (Go-To-Market) functions by focusing on transaction monitoring, data controls, and AI-driven automation. These areas are crucial for ensuring data integrity, compliance, and efficiency in financial operations, which directly impacts revenue generation and GTM strategy execution. The emphasis on GCP, AI, and full-stack development suggests a need for robust, scalable, and intelligent systems that support critical business processes.

📈 Primary Responsibilities

• Construct end-to-end software solutions encompassing both frontend UI and robust backend microservices, adhering to enterprise standards.

• Develop responsive, reusable, and accessible user interfaces (UI) leveraging modern frameworks like React or Angular, ensuring seamless integration with backend services and data platforms.

• Design and implement high-performance Java-based microservices and RESTful APIs using Spring Boot, focusing on scalability and maintainability.

• Build and manage event-driven architectures and data processing pipelines using technologies such as Kafka and Apache Spark, optimizing for real-time data flow and analysis.

• Integrate and deploy cloud-native applications on GCP, utilizing services like App Engine, Google Kubernetes Engine (GKE), and Cloud Run to ensure scalable and resilient operations.

• Contribute to the development and implementation of Agentic AI and RAG-based automation use cases, aiming to streamline complex workflows and enhance analytical capabilities.

• Proactively drive application performance tuning, implement fault tolerance mechanisms, enhance observability through logging and monitoring, and embed security best practices throughout the development lifecycle.

• Foster strong collaborative relationships with cross-functional teams, including Cloud Platform, Security, Data, Risk, and Compliance, to ensure comprehensive and compliant solution delivery.

• Promote high standards of code quality, reusability, and engineering best practices across globally distributed development teams, facilitating knowledge sharing and collective improvement.

📝 Enhancement Note: The responsibilities clearly indicate a need for a developer deeply involved in building the operational backbone for financial transaction processing and data governance. This aligns with RevOps by ensuring the systems that manage customer data, transaction flows, and compliance are efficient and reliable. The AI and GCP components suggest a forward-thinking approach to automation and cloud infrastructure, critical for scaling GTM efforts and optimizing revenue processes.

🎓 Skills & Qualifications

Education: While specific educational requirements are not detailed, a Bachelor's or Master's degree in Computer Science, Engineering, or a related field is typically expected for an AVP-level role in a financial institution.

Experience: 5-10 years of hands-on experience in full-stack development, with a significant portion focused on building enterprise-grade applications in cloud-native environments.

Required Skills:

• Demonstrated proficiency in both UI development (e.g., React, Angular) and backend engineering (Java 8/11/17+, Spring Boot, Microservices).

• Expertise in designing and implementing REST APIs and understanding of event-driven architectures.

• Hands-on experience with GCP services such as App Engine, GKE, and Cloud Run for deploying and managing cloud-native applications.

• Experience with messaging systems like Kafka for building real-time data pipelines.

• Proven ability to build scalable, high-volume applications with a focus on performance tuning and resilience engineering.

• Experience with at least one transactional database technology (e.g., Oracle, SQL, BigQuery).

• Familiarity with CI/CD tools (e.g., TeamCity, Jenkins, GitHub Actions) for automated build, test, and deployment processes.

• Practical experience in LLM-based application development and Agentic AI frameworks (e.g., LangChain, Google ADK, CrewAI), including RAG patterns.

• Strong verbal and written communication skills, with a proven track record of collaborating effectively in globally distributed teams. Preferred Skills:

• Experience with Red Hat OpenShift.

• Proficiency in Kotlin.

• Implementation experience with security protocols such as OAuth2/OIDC.

• Frontend testing experience using frameworks like Jest, Cypress, or Playwright.

• Experience in large-scale data integration projects and products.

• Data engineering experience, including data partitioning and optimization for retrieval and insert performance.

• Experience handling confidential data and implementing privacy-preserving design approaches.

• Domain expertise in payment screening, fraud detection, integrity monitoring, or payment lifecycle management.

• Experience with rules engines like Drools.

• Knowledge of data quality, lineage, observability, and data security principles.

📝 Enhancement Note: The detailed technical requirements underscore the need for a developer who can not only build but also architect robust and scalable systems. The emphasis on AI and cloud technologies, coupled with financial domain experience, points towards a role that bridges technical innovation with critical business operations, highly relevant for GTM and RevOps enablement.

📊 Process & Systems Portfolio Requirements

Portfolio Essentials:

• Demonstrate end-to-end application development projects showcasing expertise in both UI and backend technologies.

• Provide examples of scalable cloud-native applications deployed on GCP, highlighting architecture design and infrastructure as code (IaC) principles.

• Include case studies of implementing microservices and event-driven architectures, illustrating the design rationale and problem-solving approach.

• Showcase projects that incorporate AI/ML components, particularly LLM-based applications or Agentic AI frameworks with RAG implementations, detailing the impact on efficiency or decision-making.

• Present examples of CI/CD pipelines and automation scripts used to streamline development and deployment workflows. Process Documentation:

• Examples of designing and documenting complex workflows, from initial requirements gathering to deployment and ongoing maintenance.

• Demonstrations of process optimization initiatives, including metrics used to measure improvements in efficiency, performance, or reliability.

• Evidence of implementing observability solutions (logging, monitoring, alerting) for applications, detailing the approach to ensuring system health and troubleshooting.

• Documentation of security best practices applied during development, such as secure coding techniques, API security, and data protection measures.

📝 Enhancement Note: For this role, a portfolio should highlight not just code, but the architectural thinking, problem-solving acumen, and impact on business processes. Demonstrating how developed systems contribute to operational efficiency, data integrity, and potentially revenue enablement will be key. The inclusion of AI/Agentic capabilities is a significant differentiator.

💵 Compensation & Benefits

Salary Range: For an Assistant Vice President (AVP) level Full Stack Developer with 5-10 years of experience in Bangalore, India, with specialized skills in GCP and AI, the estimated annual salary range would be approximately ₹2,000,000 to ₹3,500,000. This estimate is based on industry benchmarks for senior developer roles in major financial institutions in Bangalore, considering the demand for cloud-native and AI expertise.

Benefits:

• Best-in-class leave policy: Comprehensive paid time off to ensure work-life balance.

• Gender-neutral parental leaves: Supportive policies for new parents.

• 100% reimbursement under childcare assistance benefit (gender neutral): Financial support for childcare needs.

• Sponsorship for Industry relevant certifications and education: Opportunities for continuous learning and professional development.

• Employee Assistance Program (EAP): Confidential support services for employees and their families.

• Comprehensive Hospitalization Insurance: Robust medical coverage for employees and dependents.

• Accident and Term life Insurance: Financial protection against unforeseen events.

• Complementary Health screening: Proactive health monitoring for employees aged 35 and above.

Working Hours: The role is likely to involve standard full-time working hours, approximately 40 hours per week, with potential for flexible arrangements depending on team needs and project deadlines. Given the financial industry context and global teams, some flexibility may be required.

📝 Enhancement Note: The salary range is an estimation for the Bangalore market, considering the AVP title, experience level, and specialized technical skills in demand. The benefits package is comprehensive, reflecting typical offerings from large multinational financial corporations, with a strong emphasis on employee well-being and professional growth, which are attractive to skilled operations and technology professionals.

🎯 Team & Company Context

🏢 Company Culture

Industry: Financial Services (Banking). Deutsche Bank operates within a highly regulated and competitive global financial market, necessitating robust, secure, and compliant technology solutions. This context drives a culture that values precision, risk management, and continuous innovation.

Company Size: Deutsche Bank is a large, global financial institution with tens of thousands of employees worldwide. This scale implies established processes, extensive resources, and opportunities for diverse career paths, but also requires agility and efficient communication to navigate its complexity.

Founded: Deutsche Bank was founded in 1870. Its long history signifies stability and deep industry expertise, while its ongoing investment in technology, including AI and cloud modernization, demonstrates a commitment to evolving with market demands and client needs.

Team Structure:

• The Technology, Data and Innovation (TDI) organization is responsible for building next-generation solutions. This team is likely composed of specialized pods or squads focusing on specific domains, such as Transaction Monitoring and Data Controls.

• The role reports into an Assistant Vice President (AVP) level, suggesting a mid-to-senior level position within the team hierarchy, with potential for leadership on specific projects.

• Close collaboration with Cloud Platform, Security, Data, Risk, and Compliance teams is essential, indicating a matrixed work environment where cross-functional partnerships are critical for successful project delivery. Methodology:

• Data Analysis and Insights: Emphasis on leveraging data to drive decisions, improve controls, and identify opportunities for AI-driven automation.

• Workflow Planning and Optimization: Focus on building efficient, scalable, and resilient systems that streamline critical business processes like transaction monitoring.

• Automation and Efficiency Practices: A core strategic pillar involves using AI and cloud technologies to automate manual tasks, reduce operational risk, and enhance overall productivity.

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

📝 Enhancement Note: The company culture at Deutsche Bank, as a major financial institution, likely balances a strong emphasis on stability, compliance, and risk management with a drive for innovation through technology, particularly in areas like AI and cloud. This environment offers seasoned professionals the chance to work on impactful, large-scale projects that directly influence critical business operations.

📈 Career & Growth Analysis

Operations Career Level: This role is positioned at the Assistant Vice President (AVP) level, indicating a significant level of responsibility and expertise. It requires not only strong technical development skills but also the ability to contribute to architectural decisions, drive best practices, and potentially mentor junior team members. The focus on core banking domains like transaction monitoring and data controls means the impact is directly tied to operational integrity and risk mitigation.

Reporting Structure: The AVP role suggests reporting to a Director or Managing Director within the Technology, Data and Innovation (TDI) organization. The position involves significant collaboration with various internal stakeholders across technology, risk, compliance, and business units, requiring strong communication and influencing skills.

Operations Impact: The work directly impacts the bank's ability to monitor transactions effectively, maintain data integrity, and comply with regulatory requirements. By building next-generation solutions and implementing AI-driven automation, this role contributes to:

• Reducing operational risk and potential financial losses.

• Improving the efficiency and speed of critical business processes.

• Enhancing data-driven decision-making for compliance and business strategy.

• Modernizing the technology stack to support future growth and innovation. Growth Opportunities:

• Technical Specialization: Deepen expertise in GCP, AI/ML, Agentic AI, microservices, and specific financial domain technologies, becoming a subject matter expert.

• Architectural Leadership: Transition into roles focused on designing and architecting complex enterprise solutions, potentially leading architectural reviews or strategy.

• Management Track: Progress into team leadership or management roles, overseeing development teams and project delivery.

• Cross-Functional Mobility: Leverage experience in financial operations technology to move into related areas like data governance, risk technology, or strategic innovation initiatives within Deutsche Bank.

📝 Enhancement Note: The AVP title signifies a career stage where individuals are expected to contribute strategically, not just execute. The growth potential is strong, especially for those who can bridge technical prowess with an understanding of financial operations and risk, making this a valuable stepping stone for further career advancement in FinTech or enterprise technology leadership.

🌐 Work Environment

Office Type: The role is designated as "On-site," implying a traditional office-based work environment within Deutsche Bank's Bangalore facilities. This setting typically fosters direct collaboration, team cohesion, and access to on-site resources.

Office Location(s): The primary work location is Bangalore, India, specifically at Velankani Tech Park. This location is a recognized IT hub in Bangalore, offering accessibility and a professional workspace environment.

Workspace Context:

• Collaborative Environment: The office setup likely includes open-plan areas, meeting rooms, and collaborative zones designed to facilitate interaction among team members and with stakeholders from other departments.

• Operations Tools and Technology: Access to a robust IT infrastructure, including high-speed internet, modern workstations, and potentially specialized hardware or software required for development and testing.

• Team Interaction: Regular opportunities for face-to-face interaction with immediate team members, project managers, architects, and potentially business users, fostering a dynamic and responsive work culture.

Work Schedule: The standard working hours are likely around 40 hours per week. However, given the nature of building critical systems and the global distribution of teams, occasional flexibility may be required to accommodate project deadlines, cross-timezone meetings, or urgent production support needs.

📝 Enhancement Note: An on-site role in a major tech park like Velankani in Bangalore suggests a professional, well-equipped workspace designed for productivity and collaboration. For operations-focused tech roles, this environment is often beneficial for maintaining strong team dynamics and direct communication channels, crucial for complex project execution.

📄 Application & Portfolio Review Process

Interview Process:

• Initial Screening: A recruiter or HR representative will likely conduct an initial phone screen to assess basic qualifications, cultural fit, and salary expectations. Be prepared to articulate your interest in Deutsche

Bank and the specific role.

• Technical Interviews: Expect multiple rounds of technical interviews. These may include:

  • Coding Challenges: Live coding exercises focusing on data structures, algorithms, and problem-solving in Java or a frontend framework.
  • System Design: A discussion or whiteboard session to design a scalable application, microservice, or data pipeline, focusing on GCP, AI integration, and resilience.
  • Technology Deep Dives: Questions probing your expertise in specific technologies like Spring Boot, React/Angular, Kafka, GCP services, and AI/LLM frameworks.

• Behavioral/Situational Interviews: Questions designed to assess your experience with collaboration, problem-solving, handling challenges, and aligning with Deutsche Bank's culture and values. Be ready to provide specific examples from your past roles.

• Portfolio Presentation: You may be asked to present a selection of your work, focusing on projects that demonstrate your full-stack capabilities, cloud-native development, and AI implementation experience.

• Hiring Manager Interview: A final discussion with the hiring manager to assess overall fit, career aspirations, and alignment with team goals.

Portfolio Review Tips:

• Curate Selectively: Choose 2-3 of your most impactful projects that best showcase your full-stack, GCP, and AI/Agentic AI skills.

• Focus on Impact: For each project, clearly articulate the problem statement, your role, the technical solutions implemented (including architecture), and the measurable outcomes or business impact (e.g., efficiency gains, risk reduction, performance improvements).

• Highlight Key Technologies: Explicitly mention your use of Java, Spring Boot, React/Angular, GCP services, Kafka, and your experience with LLM/Agentic AI and RAG patterns.

• Demonstrate Process: Explain your development methodology, CI/CD practices, and how you addressed challenges related to performance, scalability, security, and observability.

• Prepare for Deep Dives: Be ready to answer detailed questions about your code, architectural decisions, and trade-offs made.

Challenge Preparation:

• Practice Coding: Sharpen your skills in Java and relevant frontend languages/frameworks. Focus on algorithmic thinking and efficient coding practices.

• System Design Scenarios: Review common system design patterns for microservices, event-driven architectures, and cloud-native applications on GCP. Consider how to incorporate AI components.

• AI/LLM Concepts: Refresh your understanding of LLMs, Agentic AI principles, RAG patterns, and common frameworks like LangChain. Be ready to discuss practical use cases and implementation challenges.

• Behavioral Question Framework: Prepare STAR method (Situation, Task, Action, Result) responses for common behavioral questions related to teamwork, problem-solving, and leadership.

📝 Enhancement Note: The interview process for an AVP-level developer at a global bank will be rigorous, emphasizing both technical depth and the ability to operate within a complex organizational structure. A well-prepared portfolio showcasing relevant projects and a clear understanding of how technology drives operational efficiency will be crucial.

🛠 Tools & Technology Stack

Primary Tools:

• Backend Development: Java (8/11/17+), Spring Boot, Microservices frameworks.

• Frontend Development: React or Angular, TypeScript, JavaScript, HTML5, CSS3.

• Cloud Platform: Google Cloud Platform (GCP) - App Engine, Google Kubernetes Engine (GKE), Cloud Run.

• Messaging & Event Streaming: Kafka.

• Data Processing: Apache Spark.

• Databases: Relational databases (e.g., Oracle, PostgreSQL, MySQL), potentially BigQuery for analytics.

• AI/ML & Automation: LLM frameworks (e.g., LangChain, Google ADK, CrewAI), RAG patterns.

• CI/CD: TeamCity, Jenkins, GitHub Actions.

• Containerization: Docker, Kubernetes (via GKE).

• API Development: RESTful APIs.

Analytics & Reporting:

• Tools for monitoring application performance and user behavior (potentially integrated within GCP or third-party solutions).

• Data warehousing and analytics platforms (e.g., BigQuery) for insights into transaction data and system performance.

• Dashboarding tools for visualizing key performance indicators (KPIs) and operational metrics. CRM & Automation:

• While not explicitly mentioned as CRM, the focus on transaction monitoring and data controls implies systems that manage and process vast amounts of transactional data, requiring robust data management and workflow automation capabilities.

• Potential use of workflow automation tools or custom-built solutions for managing compliance and monitoring processes.

• Integration tools for connecting various internal and external systems.

📝 Enhancement Note: The technology stack is modern and comprehensive, reflecting a push towards cloud-native development, microservices, and cutting-edge AI capabilities within a financial institution. Proficiency across these areas, particularly in GCP and AI frameworks, is essential for success in this role.

👥 Team Culture & Values

Operations Values:

• Engineering Excellence: A strong commitment to building high-quality, robust, and maintainable software solutions. This includes adherence to coding standards, best practices, and rigorous testing.

• Data-Driven Approach: Decisions are informed by data and metrics. The team likely emphasizes tracking performance, identifying trends, and using insights to drive improvements in systems and processes.

• Efficiency and Automation: A core value is to continuously seek ways to automate manual tasks, optimize workflows, and improve operational efficiency through technology, including AI.

• Collaboration and Communication: Working effectively across global teams, with business stakeholders, and with support functions (Risk, Compliance, Security) is paramount. Open communication and knowledge sharing are encouraged.

• Responsibility and Accountability: Taking ownership of solutions from development through to production, ensuring reliability, security, and compliance.

Collaboration Style:

• Cross-Functional Integration: The role requires active collaboration with platform teams, security experts, data engineers, and compliance officers to ensure solutions meet diverse requirements.

• Agile Methodologies: While not explicitly stated, the emphasis on agile delivery suggests a collaborative, iterative approach to development, involving regular feedback loops and team synchronization.

• Knowledge Sharing: A culture that encourages sharing best practices, lessons learned, and technical insights across globally distributed teams, potentially through code reviews, internal tech talks, or documentation.

📝 Enhancement Note: The culture likely balances the structured, risk-aware environment of a global bank with the dynamic, innovative spirit required for technology modernization. Professionals who thrive in collaborative settings, are driven by data, and are passionate about building efficient, automated solutions will find this environment appealing.

⚡ Challenges & Growth Opportunities

Challenges:

• Complexity of Financial Regulations: Navigating and implementing solutions that meet stringent global financial regulations (e.g., anti-money laundering, fraud detection) while incorporating new technologies like AI.

• Legacy System Integration: Potentially integrating modern cloud-native and AI solutions with existing, older enterprise systems, requiring careful architectural planning and robust integration strategies.

• Scalability and Performance: Building systems that can handle massive volumes of financial transactions and data with high availability, low latency, and exceptional resilience.

• Adoption of New Technologies: Driving the adoption and effective implementation of cutting-edge AI and Agentic AI technologies within a conservative financial institution, requiring clear demonstration of value and risk mitigation.

• Global Team Coordination: Effectively collaborating and aligning development efforts across geographically dispersed teams with varying time zones and cultural nuances.

Learning & Development Opportunities:

• Deepen AI/ML Expertise: Opportunities to specialize further in LLMs, Agentic AI, RAG, and other advanced AI techniques, potentially leading to roles in AI research or advanced development.

• Cloud Architecture Mastery: Becoming an expert in GCP services and cloud-native architectures, potentially leading to cloud architecture or DevOps leadership roles.

• Financial Domain Knowledge: Gaining in-depth understanding of transaction monitoring, data controls, risk management, and compliance, which is highly valuable in the FinTech sector.

• Leadership Development: The AVP level provides a platform to develop leadership skills, mentor junior developers, and take on project management responsibilities.

• Industry Certifications: Sponsorship for relevant certifications in cloud (GCP), AI, or financial technologies, enhancing professional credentials.

📝 Enhancement Note: This role offers a unique opportunity to work at the intersection of advanced technology (AI, Cloud) and critical financial operations. Successfully navigating the challenges will provide significant growth and make candidates highly marketable.

💡 Interview Preparation

Strategy Questions:

• "Describe a complex full-stack application you designed and built on GCP. What were the key architectural decisions, trade-offs, and how did you ensure scalability and resilience?" (Focus on demonstrating end-to-end ownership and GCP expertise).

• "How would you approach implementing an Agentic AI solution for transaction anomaly detection? What are the key components, potential challenges, and how would you ensure its reliability and accuracy?" (Assess understanding of AI concepts and practical application).

• "Walk us through a challenging integration you’ve managed between frontend and backend services, or between microservices. What were the main hurdles, and how did you overcome them?" (Evaluate problem-solving and integration skills).

• "Imagine we need to build a real-time data pipeline for monitoring payment flows. How would you design this using Kafka and Spark on GCP, and what considerations would you give to data quality and observability?" (Test knowledge of data streaming and processing technologies). Company & Culture Questions:

• "Why Deutsche Bank, and what interests you about working in the Transaction Monitoring and Data Controls domain?" (Show research into the company and genuine interest in the specific area).

• "How do you stay updated with the latest trends in full-stack development, cloud computing, and AI?" (Demonstrate a commitment to continuous learning).

• "Describe a time you had to collaborate with a globally distributed team. What challenges did you face, and how did you ensure effective communication and delivery?" (Assess cross-cultural collaboration skills). Portfolio Presentation Strategy:

• Structure for Impact: Begin with a clear summary of the project's business problem and your solution.

• Technical Deep Dive: Dedicate sections to UI architecture, backend design (microservices, APIs), cloud infrastructure (GCP services used), and AI/LLM integration details.

• Data & Metrics: Quantify your achievements. Use metrics related to performance improvements, efficiency gains, reduction in errors, or scalability.

• Demonstrate Process: Explain your development lifecycle, CI/CD practices, testing strategies, and how you ensured security and observability.

• Engage and Discuss: Be prepared for interactive questions, asking for clarification, and discussing alternative approaches or trade-offs.

📝 Enhancement Note: Interviews for this role will likely probe deeply into technical architecture, cloud-native implementation, and practical application of AI. A strong portfolio that clearly links technical solutions to operational improvements and risk mitigation will be critical for success.

📌 Application Steps

To apply for this Full Stack Developer position at Deutsche Bank:

• Submit your application through the provided link on the Deutsche Bank careers portal.

• Tailor Your Resume: Highlight your experience with Java, Spring Boot, React/Angular, GCP, Kafka, Apache Spark, and any AI/Agentic AI/RAG experience. Quantify achievements where possible, focusing on system performance, efficiency gains, or risk reduction.

• Prepare Your Portfolio: Select 2-3 key projects that best demonstrate your full-stack capabilities, cloud-native development on GCP, and AI implementation. Ensure you can clearly articulate the problem, solution, technologies used, and business impact.

• Research Deutsche Bank: Familiarize yourself with Deutsche Bank's mission, values, and its strategic focus on technology, innovation, and AI. Understand the importance of transaction monitoring and data controls within the financial services industry.

• Practice Technical and Behavioral Questions: Rehearse answers to common coding, system design, AI application, and behavioral questions, using the STAR method for behavioral responses. Be ready to discuss your portfolio projects in detail.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and operations industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.