Job Description

Lead Engineer – Products (Java)

Location: Bangalore
Experience: 8–12 years

About the Role

We are looking for a Lead Engineer to develop data-centric platforms, products, and intelligent systems This role emphasizes building applications and computational platforms using Core Java as the primary foundation, while leveraging modern cloud and full-stack capabilities where needed.

As a Lead Engineer, you will focus on designing and developing backend-heavy, data-intensive systems that power product capabilities, analytical workflows, and decision-support applications. This role will also involve selective full-stack and cloud exposure where needed.

Key Responsibilities

Product / Platform Engineering (Java)

· Design and build platforms, products, and backend systems using Core Java (collections, concurrency, multithreading, JVM internals) and modern frameworks

· Develop applications using the Spring ecosystem (Spring Boot, Spring MVC, Spring Data, Spring Security) and related frameworks

· Apply strong object-oriented design principles, design patterns, and clean architecture practices

· Build high-performance services with a focus on memory management, performance tuning, and scalability

· Develop reusable computation services and data-processing components that power product capabilities

· Translate product and analytical requirements into scalable system designs and architectures

· Build systems with a strong focus on processing efficiency and extensibility

Full Stack Development

· Design and build modern full-stack applications with a strong backend-first approach

· Develop responsive and scalable frontend applications using frameworks such as React, Angular, or similar

· Build and integrate Node.js or Java-based backend-for-frontend (BFF) layers where required

· Ensure seamless interaction between frontend, backend, and data systems

· Apply best practices in UI architecture, state management, and performance optimization

· Work with modern tooling such as TypeScript, REST/GraphQL APIs, and component-based design systems

· Collaborate with design and product teams to deliver intuitive and high-quality user experiences

Backend & API Development

· Develop and maintain RESTful APIs and backend services supporting applications

· Build services that encapsulate business logic, computation, and data transformations

· Ensure strong integration between backend systems and data platforms

Cloud & Distributed Systems

· Design and implement cloud-native applications (AWS / Azure / GCP)

· Build systems that are scalable, resilient, and optimized for performance

· Work with distributed architectures, asynchronous processing, and event-driven systems

Data-Intensive Systems

· Design and build systems capable of handling large-scale data processing, transformations, and computation workflows

· Develop services that enable data-driven product features and analytical capabilities

· Work with structured and semi-structured data across different storage and processing systems

· Collaborate with data teams to integrate pipelines, models, and data services into production systems

Engineering Leadership

· Lead technical design and architecture for product engineering initiatives

· Establish and promote best practices across coding, architecture, and system design

· Mentor engineers and help shape a high-performing product engineering team

· Drive engineering quality, documentation, and maintainability standards

Collaboration & Stakeholder Engagement

· Partner with product, data, and platform teams to deliver end-to-end solutions

· Work alongside existing engineering teams with clear ownership boundaries and collaboration models

· Contribute to defining the roadmap and evolution of the Product Engineering function

Required Skills

· 8+ years of experience in software engineering with a strong focus on Core Java and Full Stack development.

· Deep understanding of object-oriented design, concurrency, and multithreading

· Strong experience building data-intensive backend systems or platforms

· Experience building microservices and REST APIs using frameworks like Spring Boot

· Strong understanding of distributed systems and high-throughput architectures

· Solid understanding of data modeling, SQL, and data processing patterns

· Experience working with cloud platforms (AWS / Azure / GCP)

Preferred Skills

· Exposure to data engineering concepts (ETL, batch/stream processing, data pipelines)

· Experience with event-driven architectures and streaming platforms (Kafka or similar)

· Familiarity with modern data platforms (Snowflake or similar)

· Experience building analytical or decision-support systems

· Experience building platforms, frameworks, or reusable backend components