Senior Developer

Classic Marble Company; Bengaluru; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Classic Marble Company seeks a seasoned Lead Java Engineer to drive architecture, development, optimization and reliability of large-scale Java applications. You will guide technical direction across the stack, implement microservices with Spring Boot, and lead cloud deployments while ensuring robust data processing and scalable performance.

You will mentor junior engineers, promote high engineering standards, and work with AI/LLM workflows, prompt management, and evaluation frameworks.

Qualifications

• Requires 12+ years of professional experience
• Proficient in Java, Spring Boot and cloud-native architectures
• Strong engineering standards and code quality
• Experience mentoring engineers and leading teams
• Familiarity with agile development practices and CI/CD
• Bachelor's/Master's in Computer Science or equivalent degree

Responsibilities

• Lead design and development of large-scale Java applications
• Architect and scale Java microservices with Spring Boot
• Provide technical leadership and mentorship to engineers
• Drive cloud-based capabilities and AI/LLM workflows
• Establish and maintain robust CI/CD pipelines using Jenkins, Docker, Kubernetes
• Collaborate with product teams and stakeholders across the stack

Skills

Java

Spring Boot

Distributed systems

Unit Testing / TDD

OOAD / Design patterns

Mentorship / leadership

SQL / JDBC

AI/LLM workflows

Cloud architecture

DevOps practices

Education

Bachelor's/Master's in Computer Science

Tools

Jenkins

Git

Docker

Kubernetes

Job description

Job Summary

We re looking for a seasoned Lead Java Engineer who can drive the design, development, optimization, and long-term reliability of large-scale applications. You ll be responsible for shaping system architecture, ensuring efficient and accurate data processing, and guiding technical direction across the stack. This role offers the chance to work with modern technologies, including Java, UI5, and related tooling, in a fast-moving engineering environment.

What youll bring

• Operate within the SAP Business Technology Platform (BTP), leveraging its multi-cloud foundation to deliver solutions that run across major public clouds (AWS, Azure, GCP, Alibaba Cloud) and private environments.
• Collaborate closely with product teams to design and implement new features, while supporting the BTP Fabric team in deploying and operating them on the platform.
• Contribute directly to building high-quality, reusable, and scalable cloud services, and actively share technical expertise across the team.
• Drive the design and development of cloud-based capabilities and enhancements for products and solutions.
• Provide technical leadership and mentorship to junior engineers, enforcing strong engineering standards across Java development and DevOps practices.
• LLM integration and basic RAG workflows, including prompt management and response validation, are part of your core work
• Evaluation and benchmarking frameworks to measure AI system quality, reliability, and performance are things youll build and own

What youll build

• Architected and scaled high-volume Java microservices, ensuring high availability, resilience, and throughput for enterprise-scale data platforms.
• Extensive hands-on experience designing and building Java-based microservices using Spring Boot, including developing robust REST APIs, implementing service orchestration patterns, and delivering containerized services for production environments.
• Proficient in Java-based DevOps practices, using tools like Jenkins (Java-based CI), Git, Docker, and Kubernetes to enable scalable CI/CD pipelines.
• Strong troubleshooting and debugging capabilities in Java, especially in distributed systems involving asynchronous messaging and parallel computation
• Experience with any Front-end technologies - UI5, React, Angular or any UI framework is an added advantage.
• Experience with AI/LLM workflows, including prompt design, basic RAG patterns, and integrating AI services into applications
• Experience designing evaluation frameworks for AI systems, validating model behavior, and applying agentic engineering patterns is critical.
• Expertise in Unit Testing and TDD/BDD methodologies. Proficiency in OOAD, Design Patterns and anti-patterns.
• Proficiency in SaaS, multi-tenancy, Splunk and any public cloud offering
• Working knowledge of Microservices, Domain Driven Design and DevOps is an added advantage.
• Experience with MCP, agent/tooling frameworks, or secure model integrations is a plus.
• Strong knowledge of SQL and Java JDBC for querying structured data and integrating with relational databases.
• Experience mentoring engineers in Java best practices, clean code, object-oriented design, and performance optimization for enterprise data solutions.
• Excellent problem-solving and analytical skills, with the ability to troubleshoot complex technical issues.
• Strong communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams and stakeholders.
• Experience and willingness to work in a project setup following agile principles and practices.

Work Experience & Education

• Requires 12+ years of professional experience is essential for understanding system architecture, programming, and technical troubleshooting.
• Outstanding written and verbal communication skills.
• Bachelors/Masters in computer science required