Job Title:  T&T -EAD - Engineering - Senior Consultant | Java BE | Bangalore

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

  • Exposure to advanced database features is a plus

  • Candidates from Oracle / MySQL / SQL Server backgrounds are welcome

• Knowledge of Liquibase

  • Database versioning and schema migration

• Understanding of OAuth2 Security

  • Authentication and authorization implementation

• 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

• B.E / B.Tech in Computer Science, IT, or related engineering discipline

Location and Way of Working

• Location: (Not specified / Flexible based on project requirements)