T&T -EAD - Engineering - Senior Consultant | Java BE | Bangalore
- Job requisition ID : 101728
- Location: Bengaluru
- Entity: Deloitte Touche Tohmatsu India LLP
The Team
Deloitte’s Technology & Transformation practice can help you uncover and unlock the value buried deep inside vast amounts of data. Our global network provides strategic guidance and implementation services to help companies manage data from disparate sources and convert it into accurate, actionable information that can support fact-driven decision-making and generate an insight-driven advantage. Our practice addresses the continuum of opportunities in business intelligence & visualization, data management, performance management and next-generation analytics and technologies, including big data, cloud, cognitive and machine learning.
Our Work Profile
We are building modern, cloud-native backend systems focused on high scalability, performance, and real-time responsiveness. Our engineering teams work on distributed, event-driven architectures powered by reactive programming, containerized deployments, and cloud platforms such as AWS and Azure.
We focus on designing and delivering high-throughput backend services using modern Java frameworks, Kubernetes-based infrastructure, and reactive data access patterns to support next-generation enterprise applications.
Your Work Profile
We are looking for a Java Backend Developer (Reactive Systems) with strong expertise in building non-blocking, event-driven backend services using Spring WebFlux and modern cloud-native technologies.
The role involves developing scalable backend services deployed on Kubernetes, integrating with reactive databases using R2DBC, and working closely with DevOps and cloud teams to ensure reliable production deployments.
This position is ideal for engineers who are passionate about modern backend architecture, reactive programming, and distributed systems development.
Key Responsibilities
Backend Development
Design and develop reactive backend services using Java and Spring WebFlux
Build non-blocking, event-driven APIs for high-performance systems
Implement scalable and maintainable microservices architectures
Reactive System Design
Apply reactive programming principles using Mono, Flux, and non-blocking I/O
Optimize system performance for high concurrency and low latency workloads
Ensure responsiveness and scalability of backend services
Kubernetes & Deployment
Develop and maintain Kubernetes deployments
Create and manage Helm charts for service deployment
Use Minikube for local Kubernetes-based development and testing
Database & Data Access
Implement reactive database access using R2DBC
Write optimized native SQL queries (SQL-first approach)
Avoid ORM-based approaches like JPA/Hibernate in reactive flows
Cloud & Infrastructure
Collaborate with DevOps and cloud teams for deployments on AWS and/or Azure
Work with cloud-native Kubernetes environments
Ensure scalability, reliability, and security of services
Engineering Practices
Participate in code reviews and design discussions
Contribute to architectural decisions and system design
Follow best practices for clean, maintainable code
Required Experience
Bachelor’s degree in B.E / B.Tech / Computer Science or related field
3–8 years of experience in backend development (flexible based on skill depth)
Strong experience in Java backend development
Hands-on experience with Spring WebFlux and reactive systems
Exposure to Kubernetes-based deployments
Essential Technical Skills
Core Backend Skills
Strong proficiency in Java (8+)
Expertise in Spring WebFlux
Understanding of reactive programming concepts (Mono, Flux, non-blocking I/O)
Experience building scalable microservices
Kubernetes & DevOps
Hands-on experience with Kubernetes clusters
Ability to create and manage Helm charts
Familiarity with Minikube for local development
Database & Data Layer
Experience with R2DBC (Reactive Relational Database Connectivity)
Strong SQL skills (native query approach)
No dependency on ORM frameworks like JPA/Hibernate
Cloud Platforms
Basic understanding of AWS or Azure
Exposure to cloud-based Kubernetes environments
Understanding of distributed system deployment patterns
Additional Skills (Nice to Have)
Experience with PostgreSQL
Knowledge of Liquibase
Understanding of OAuth2 Security
Experience in cloud-native backend systems
Success Metrics
High-performance, low-latency backend services
Stable and scalable Kubernetes deployments
Reliable reactive system performance under load
Clean, maintainable, and well-tested codebase
Smooth integration with cloud and DevOps pipelines
Educational Qualifications
Location and Way of Working
