Lead Engineer – R01571315

Brillio; Bengaluru; On-site; INR 3,000,000 - 5,400,000; Full time

Job summary

Brillio is seeking a Senior Java Developer to build scalable, high-performance enterprise applications using Java technologies, Spring Boot, and microservices. You will lead technical decisions, shape architectures, and collaborate with cross-functional teams in a fast-paced environment.

The role emphasizes DevOps practices, cloud deployments on AWS/Azure/GCP, and Kubernetes, with opportunities to leverage Generative AI tools to accelerate development and improve quality.

Qualifications

• 6+ years of hands-on Java/J2EE development.
• Expertise in Spring Boot, Spring Data, and Spring Cloud.
• Experience with microservices, APIs, and distributed systems.

Responsibilities

• Lead end-to-end architectural solutions for enterprise apps.
• Design and maintain Java-based apps with Spring Boot.
• Define architectures for microservices and cloud-native workloads.
• Provide technical leadership and code reviews.
• Mentor engineering teams and promote clean coding.
• Implement CI/CD pipelines with GitHub Actions, Jenkins, Azure DevOps, or GitLab.
• Deploy and manage apps on AWS/Azure/GCP with Kubernetes and Docker.
• Ensure security, performance, and compliance in development practices.
• Collaborate with cross-functional teams in Agile/Scrum.
• Work with REST APIs and event-driven messaging (Kafka/RabbitMQ).
• Leverage GenAI tools for code generation and productivity.

Skills

Java/J2EE

Spring Framework

Microservices

DevOps

Cloud platforms

CI/CD

RESTful APIs

GenAI concepts

Leadership

SQL/NoSQL

Tools

Docker

Kubernetes

GitHub Actions

Jenkins

Azure DevOps

GitLab

PostgreSQL

MongoDB

Redis

Elastic Search

Kafka

RabbitMQ

Job description

Position Description

We are seeking a highly skilled Senior Java Developer with deep experience in building scalable, resilient, and high-performance applications using modern Java technologies. The ideal candidate will demonstrate hands-on technical leadership, expertise in microservices architecture, strong knowledge of DevOps practices and proficiency in integrating modern frontend and backend systems. Experience with Generative AI (GenAI) tools and frameworks will be an added advantage.

Job Functions/Duties and Responsibilities

• Lead end-to-end architectural solutions for enterprise-grade applications.
• Design, develop, and maintain high quality Java-based applications using modern frameworks such as Spring Boot, Spring Cloud.
• Define and drive architecture for microservices, distributed systems, event-driven patterns and cloud-native workloads.
• Provide strategic leadership in designing and implementing robust architectures for microservices, distributed systems, event-driven solutions, ensuring scalability, resilience and alignment with enterprise standards.
• Collaborate with product owners and engineering teams to translate business needs into technical solutions.
• Work with RESTful APIs, event-driven architectures and message brokers (Kafka, RabbitMQ).
• Contribute to architectural decisions, code reviews and best practices.
• Provide technical leadership, mentor engineering teams and promote clean coding practices.
• Implement CI/CD pipelines using tools like GitHub Actions, Jenkins, Azure DevOps, or GitLab.
• Deploy and manage applications on Cloud platforms (AWS / Azure / GCP) using Kubernetes, Docker, Helm.
• Ensure security, performance, and compliance in all development practices.
• Collaborate with cross-functional teams (Product, QA, DevOps) in Agile/Scrum environments.
• Leverage GenAI tools (e.g., GitHub Copilot, Azure OpenAI, LangChain) for code generation, documentation and productivity improvements.

Skills Required

• 6+ years of hands on core Java/J2EE development experience.
• Strong knowledge of Java 11+, functional programming, streams, concurrency.
• Expertise in Spring Boot, Spring Data, Spring Security, Spring Batch, Spring Cloud and ORM frameworks like Hibernate.
• Solid understanding of microservices architecture, API design patterns, and distributed systems.
• Experience with SQL/NoSQL databases (PostgreSQL, MongoDB, Redis, Elastic Search).
• Strong experience with Docker, Kubernetes, and cloud-native development.
• Knowledge of testing frameworks: JUnit, Mockito, Cucumber.
• Strong problem-solving skills, debugging expertise and system design abilities.
• Exposure to Gen AI concepts, LLM integrations, and AI-driven development tool