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
