Deutsche Bank is hiring a Backend Engineer, AS for its Technology team in Pune – Margarpatta. This is a full-time opportunity for backend engineers with strong experience in Java and modern backend development, particularly candidates who have worked with Java 17, Spring Boot, Hibernate, REST APIs, databases and enterprise development tools.
📌 Job Details
🏢 Company: Deutsche Bank
💼 Position: Backend Engineer, AS
🆔 Job ID: R0427212
📍 Location: Pune – Margarpatta, India
⏱️ Employment: Full-time
☕ Primary Language: Java 17
🌱 Frameworks: Spring / Spring Boot / Hibernate
🔗 APIs: REST APIs
🗄️ Database: Oracle / SQL / PL SQL
🐧 Environment: Linux / Shell Scripting
🔧 Tools: Git, Maven, Jira, Confluence, Jenkins/TeamCity, Artifactory
☁️ Additional: Docker, Kubernetes, OpenShift, Microservices, CI/CD
🤖 Good to Have: AI/ML integration and AI-driven coding tools
📅 Application Deadline: September 19, 2026
🏢 About Deutsche Bank
Deutsche Bank is a major global financial institution with operations spanning corporate and investment banking, private banking and asset management. Its technology organisation plays an important role in developing and operating systems that support financial products, banking services and internal business processes.
For backend engineers, a banking technology environment can provide valuable exposure to high-performance, secure and highly regulated applications. Engineers often need to consider reliability, data integrity, scalability, security and transaction processing alongside standard software-development practices.
⭐ Why This Role Is Good for Your Experience?
🚀 Modern Java development: Java 17 gives you exposure to current language features and enterprise Java development.
🏗️ Backend architecture: Spring Boot, REST APIs, Hibernate and microservices provide a strong foundation for scalable backend systems.
🗄️ Database expertise: Oracle, SQL and PL/SQL experience is valuable for applications where data consistency and performance are critical.
⚙️ DevOps exposure: Jenkins/TeamCity, Maven, Git, Artifactory and cloud/container deployment provide experience across the development lifecycle.
☁️ Cloud-native technologies: Docker, Kubernetes and OpenShift can strengthen your modern deployment skills.
🤖 AI exposure: The JD’s focus on AI-assisted coding and AI/ML integration gives engineers an opportunity to understand how emerging technologies can be incorporated into backend systems.
🌍 Global collaboration: Working in distributed, multicultural teams can strengthen communication and enterprise engineering practices.
🛠️ Skills Required
🔹 Java 17 and object-oriented programming
🔹 Spring and Spring Boot
🔹 Hibernate/JPA
🔹 REST API development
🔹 Microservices architecture
🔹 Event-driven systems
🔹 JUnit and unit-testing practices
🔹 Oracle, SQL and PL/SQL
🔹 Database modelling and query optimization
🔹 Linux and Shell scripting
🔹 Git and Maven
🔹 Jenkins or TeamCity
🔹 Artifactory
🔹 Jira and Confluence
🔹 Agile/Scrum or Kanban methodologies
🔹 Docker and cloud-based application deployment
🔹 Design patterns and SOLID principles
🔹 Performance-focused backend development
🔹 Strong problem-solving and communication abilities
🔥 Preparation Tips
☕ Deep-dive into Java 17: Prepare questions around streams, collections, Optional, records, interfaces, exception handling, concurrency and JVM fundamentals.
🏗️ Practice Spring Boot architecture: Be able to explain dependency injection, Spring beans, REST controllers, service/repository layers, configuration and exception handling.
🔗 Prepare API design scenarios: Expect questions around HTTP methods, status codes, authentication, validation, pagination, idempotency and API versioning.
🗄️ Strengthen SQL: Practice joins, indexes, execution plans, normalization and query optimization. Be prepared to explain how you would investigate a slow database query.
⚡ Revise microservices: Understand service communication, resilience, API gateways, distributed transactions and event-driven architecture.
🐳 Learn deployment flow: Be prepared to explain how code moves from Git through Maven/build tools and CI pipelines into Docker/cloud environments.
☸️ Don’t ignore Kubernetes: Since Kubernetes and OpenShift are specifically listed as good-to-have skills, understand pods, deployments, services, configuration and basic scaling.
🤖 Prepare an AI integration example: Think about how a backend service could call a model-inference API, handle responses and monitor the AI component.
📝 Resume Tips – Tailored to This Role
Your resume should make your Java backend engineering experience immediately visible.
✅ Put Java 17 + Spring Boot + REST APIs near the top of your technical skills.
✅ Describe backend projects using measurable outcomes such as throughput, latency or processing volume where accurate.
✅ Highlight microservices and event-driven architecture if you have worked with them.
✅ Mention Oracle/SQL and specific database optimization work.
✅ Add JUnit and testing practices to demonstrate code quality.
✅ Showcase Jenkins/TeamCity, Maven, Git and Artifactory experience.
✅ If applicable, mention Docker, Kubernetes or OpenShift separately rather than hiding them under “Cloud.”
✅ Include examples of design patterns, low-level design and performance optimization.
✅ Mention experience working with distributed teams and Agile methodologies.
💰 Expected Salary Range
For a backend engineer with strong Java/Spring Boot experience in Pune, an estimated market range could be approximately ₹12–22 LPA, depending on experience level, current CTC, Java expertise, system-design knowledge and the breadth of cloud/microservices skills.
This is an estimated market range, not an officially published Deutsche Bank salary band. Candidates with strong enterprise Java, microservices, cloud-native deployment and system-design experience may command compensation toward the higher end.
🧑💼 Expected Interview Rounds
🔹 Round 1 – Recruiter Screening: Experience, Pune location, notice period, current compensation and role fit.
🔹 Round 2 – Coding/Java Technical: Java 17, OOP, collections, streams, concurrency, problem-solving and coding.
🔹 Round 3 – Backend Technical: Spring Boot, REST, Hibernate, SQL, microservices, testing and API design.
🔹 Round 4 – System Design/Architecture: Microservices, event-driven systems, scalability, reliability, database design and cloud deployment.
🔹 Round 5 – Managerial/Behavioural: Ownership, Agile working, stakeholder communication and collaboration in distributed teams.
🔹 Final HR/Offer: Compensation, joining timeline and employment formalities.
📩 How to Apply
👉 Application Link: Click Here
🔗 Job: Backend Engineer, AS
🆔 Requisition ID: R0427212
📍 Location: Pune – Margarpatta
💼 Employment: Full-time
📅 Apply By: September 19, 2026
Apply for Backend Engineer, AS – Deutsche Bank
🚀 If you are a Java backend engineer looking to work on enterprise-scale financial technology while expanding into microservices, CI/CD, containers and AI-enabled engineering, this Deutsche Bank opportunity is worth exploring.
