Cloud Engineer/ Support Engineer - Cloud
Posted Updated
Summary
Senior Java backend engineer focused on search & relevancy: designs high-concurrency distributed services, builds search solutions on Elasticsearch/OpenSearch, and develops event-driven Kafka pipelines. Core stack: Java 8-21, Spring, Kafka, Elasticsearch/OpenSearch, PostgreSQL/Redis/DynamoDB, with cloud and Kubernetes experience.
Job Title: Senior Java Engineer (Search & Relevancy)
Location: India (remote within the country)
Overview
We are seeking a highly experienced Senior Java Engineer with deep expertise in enterprise backend development, distributed systems, and search technologies. The ideal candidate will have 10+ years of professional software engineering experience, with a proven track record of designing, building, and optimizing high-performance, scalable applications in complex environments such as global marketplaces, e-commerce platforms, or FinTech transaction systems. This role requires expert-level Java and Spring development skills, strong hands-on experience with Elasticsearch/OpenSearch and Apache Kafka, and a solid understanding of event-driven architectures and high-concurrency systems.
Key Responsibilities
• Design, develop, and maintain highly scalable, high-performance backend applications using Java and the Spring ecosystem.
• Architect and optimize distributed systems capable of handling high transaction volumes and concurrent workloads.
• Build and enhance search and relevancy solutions using Elasticsearch and/or OpenSearch.
• Design and optimize search indexes, custom analyzers, sharding strategies, and cluster performance.
• Develop and maintain event-driven architectures and real-time data processing pipelines using Apache Kafka.
• Design, implement, and optimize database solutions across relational and NoSQL technologies.
• Identify and resolve complex performance bottlenecks, ensuring system reliability, availability, and scalability.
• Collaborate with cross-functional engineering teams to translate business requirements into robust technical solutions.
• Participate in architectural discussions, technical decision-making, and code reviews to maintain high engineering standards.
• Mentor junior engineers and contribute to engineering best practices.
Required Qualifications
• 10+ years of professional experience in enterprise backend software engineering, preferably working with high-concurrency distributed systems.
• Expert-level proficiency in Java (8–21), with extensive hands-on experience building enterprise-grade backend applications.
• Deep expertise in the Spring ecosystem, including Spring Boot, Spring Cloud, Spring Security, and Spring Data JPA/Hibernate.
• Strong experience designing and developing scalable microservices and distributed architectures.
• Advanced knowledge of Elasticsearch and/or OpenSearch, including index design, custom analyzers, sharding strategies, query optimization, and cluster tuning.
• Extensive hands-on experience with Apache Kafka, distributed messaging systems, and event-driven architectures.
• Strong knowledge of relational and NoSQL databases, particularly PostgreSQL, Redis, and DynamoDB.
• Proven experience developing or supporting large-scale transactional platforms, ideally within global marketplaces, e-commerce, or FinTech environments.
• Solid understanding of algorithms, data structures, concurrency, multithreading, and software design principles.
• Experience troubleshooting complex production issues and optimizing application performance.
• Familiarity with cloud platforms such as AWS, Azure, or GCP.
• Experience with CI/CD pipelines, Docker, Kubernetes, and modern software delivery practices.
Nice to Have
• Strong working knowledge of Kotlin as a secondary programming language.
• Experience with advanced search relevancy techniques, ranking optimization, and large-scale search platforms.
• Experience with Java batch processing and large-scale data processing workflows.
• Exposure to machine learning or data analytics.
• Previous experience providing technical leadership or mentoring engineering teams.
• Familiarity with Agile/Scrum methodologies. Soft Skills & Work Style
• Excellent analytical and problem-solving abilities, particularly when troubleshooting complex distributed systems.
• Strong communication and collaboration skills, with the ability to work effectively across engineering teams.
• Ability to independently evaluate technical challenges and make sound architectural decisions.
• Proactive mindset with a strong sense of ownership, accountability, and attention to detail.
• Commitment to clean code, maintainability, performance, and continuous improvement.