Senior Java Backend Service Developer

@Microlent

Hello! I read through your requirement and this is a very interesting role. Designing high-performance backend services with Java/Spring while optimizing MongoDB and Elasticsearch data architectures is something I can help with. I have experience building scalable microservices using Java and Spring Boot, focusing on efficient data modeling, high-throughput APIs, and search performance for data-intensive platforms. In this role I can contribute with: • Designing optimized MongoDB schemas with proper indexing, aggregation pipelines, and replication strategies • Architecting and managing Elasticsearch indices, mappings, and query DSL for fast and relevant search results • Building Java 17+ Spring Boot microservices integrated with MongoDB and Elasticsearch • Implementing data synchronization pipelines using Kafka, Logstash, or CDC for real-time updates • Performance tuning for query latency, indexing overhead, and large dataset retrieval • Developing high-performance REST APIs with advanced filtering, full-text search, and aggregations • Writing robust tests with JUnit and Mockito to maintain high code quality I’m also comfortable working with Docker, Kubernetes, and cloud environments to ensure scalable deployments and reliable service orchestration. Quick question: is your current system already using Elasticsearch clusters in production, or would part of the work involve designing and deploying the search infrastructure from scratch? Best regards, Jasmin

@irsolutions

With over 10 years of expertise in Java development and backend services, I understand the importance of optimizing data architectures for lightning-fast results. Your project's focus on scaling a career pathway platform aligns perfectly with my experience in designing scalable data models in MongoDB and Elasticsearch. In the realm of backend engineering, I have successfully developed and scaled microservices using Java 17+ and Spring Boot, seamlessly integrating with NoSQL and search engines. My mastery extends to building and monitoring reliable data pipelines for real-time consistency between MongoDB and Elasticsearch. I have a proven track record of creating high-throughput RESTful APIs and mentoring teams on evolving search capabilities, making me an ideal fit for your project. With my expertise in Java, MongoDB, Elasticsearch, and cloud providers like AWS/GCP/Azure, I am confident in delivering exceptional results for optimizing your data architecture. If you are looking for a Senior Java Backend Developer who can address your key responsibilities and challenges effectively, I am ready to collaborate and drive success for your project. Let's connect and discuss how we can enhance your career pathway platform together.

@OutsourceMan

⭐⭐⭐⭐⭐ Leverage CnELIndia’s proven expertise in designing high-performance Java/Spring microservices to seamlessly integrate with MongoDB and Elasticsearch for low-latency, scalable data retrieval. Utilize Raman Ladhani’s deep knowledge in NoSQL and search engine optimization to architect efficient MongoDB document structures and fine-tuned Elasticsearch indices for advanced search relevance. Implement robust data pipelines using Kafka and Change Data Capture to ensure real-time synchronization between MongoDB and Elasticsearch, minimizing latency and data inconsistencies. Conduct performance tuning and optimization, identifying bottlenecks in query processing, indexing, and API throughput to maximize system efficiency. Develop high-throughput RESTful APIs with Spring Boot that fully leverage full-text search, aggregations, and filtering for seamless user experience. Lead technical mentorship sessions to elevate team expertise in NoSQL best practices, Elasticsearch scaling strategies, and microservices architecture. Ensure cloud-native deployment using Docker, Kubernetes, and AWS/GCP/Azure for resilient, scalable infrastructure. Integrate observability and testing frameworks (ELK, JUnit, Mockito) to maintain high reliability and code quality throughout the platform.

@shivmirthyusl

Hi, As a highly skilled Java developer with over 6 years of experience in building scalable data architectures using MongoDB, I am confident in my ability to excel in the role you've outlined. I'm a proven expert when it comes to fine-tuning backend systems for optimal performance and designing data models that streamline data retrieval processes, essential requirements for this position. My mastery extends not just to MongoDB but also Elasticsearch which I have utilized at scale, adept at custom mapping, optimizing complex query DSLs, and successfully managing even the largest of clusters. You can count on me to not only develop and scale microservices using Java 17+ and Spring Boot but also integrate them seamlessly with key components such as NoSQL and search engines. My capacity to build strong data pipelines using Kafka, Change Data Capture or Logstash ingeniously syncs data in real-time between MongoDB and Elasticsearch, ensuring your users get accurate results blazingly fast. Ensuring high code quality has always been integral in my work process - my thorough commitment to testing through JUnit, Mockito, and integration testing for data layers will guarantee that your systems stay robust even as they evolve. Thanks, SBM

@rohitpatidar001

With over a decade in the field, I bring an exceptional level of skill, expertise, and leadership to this role as a Senior Java Backend Developer. I have extensive experience with Java development specifically with the Spring Ecosystem which I'm confident will be invaluable in bridging your robust Java/Spring services with your modern data stack powered by MongoDB and Elasticsearch. I have successfully designed scalable data models in MongoDB, tuned relevance scoring, and managed large-scale Elasticsearch clusters using custom mapping and complex query DSL optimizations. Moreover, my hands-on experience with Docker, Kubernetes, and cloud providers such as AWS/GCP/Azure puts me at a vantage point of understanding the infrastructural necessities for the growth of career pathway platforms. I also want to draw attention to my AI and intelligent integration skills. Pertinent to your project is my ability to enhance search capabilities using vector search or k-NN within Elasticsearch. Furthermore, I have a track record integrating REST-based AI/ML APIs into Java applications similar to what you're leveraging in your system. Overall, I am confident that I have inte

@Friends4it

Hi, I understand you need a Senior Java Backend Developer with expertise in high-performance data architectures, specifically to optimize your career pathway platform using Java, Spring Boot, MongoDB, and Elasticsearch. Your focus on scalable data models, search optimization, and real-time data synchronization is clear and aligns perfectly with my experience. With over 6 years of Java development background and hands-on expertise in MongoDB, Elasticsearch, and Spring ecosystems, I will design efficient data models and optimize Elasticsearch clusters to ensure fast, relevant search results. I have previously built microservices and data pipelines using Kafka and Spring Data, ensuring real-time consistency and high throughput APIs. My experience with cloud infrastructure and container orchestration will ensure smooth deployment and scalability. I can deliver a high-quality solution within 21 days and look forward to discussing the next steps. What specific challenges or performance issues have you encountered with your current data architecture that you'd like to address? Best regards, Muhammad

@sagarwal3005

With over 8 years of experience in Java development and a deep expertise in the Spring ecosystem, I am confident in my ability to optimize how complex datasets are stored, retrieved, and searched on your career pathway platform. My extensive experience with MongoDB and Elasticsearch, along with my skills in backend engineering using Java 17+ and Spring Boot, make me the perfect fit for this project. I am committed to ensuring lightning-fast, relevant results for your users and am excited about the opportunity to contribute to your team. Let's work together to take your platform to the next level.

@iosifpeterfi

Hello, your goal to scale a career pathway platform with lightning-fast, relevant search across complex datasets is exactly the kind of challenge I solve for. This is my speciality: turning complex data architectures into fast, reliable search and retrieval experiences that power user outcomes. I'm Iosif Peterfi, 15+ years building robust backend and data platforms for scale, based in Europe. You can review my work here: https://www.freelancer.com/u/iosifpeterfi. My approach is to deliver a focused data strategy and implementation that drives business value: scalable MongoDB models for fast reads and writes, Elasticsearch clustering and mapping tuned for precise relevance, reliable data pipelines for near real-time synchronization between stores, and high-throughput REST APIs. I will combine risk-aware planning with staged delivery to minimize downtime and ensure predictable outcomes, plus testing and validation to protect data quality. Similar project story: Last quarter I helped an edtech platform migrate to a MongoDB and Elasticsearch stack to power course search and recommendations, lowering search latency by 60% and boosting relevance by 25%. We built a real-time data sync pipeline to keep datasets in sync with near real-time updates. Let's chat - I can walk you through my approach in 15 minutes.

@badarmadni927

Hi, Are you looking for someone who can build lightning-fast data architectures? I specialize in designing scalable models in MongoDB and optimizing Elasticsearch for peak performance. With over 6 years of Java development experience leveraging Spring Boot, I’ve successfully integrated NoSQL databases and search engines to create efficient microservices. I’m proficient in architecting real-time data pipelines and tuning search algorithms for optimal results. My background in Docker, Kubernetes, and cloud infrastructure enables me to deliver robust solutions in any environment. I’d love to bring my expertise in backend engineering and data architecture to your career pathway platform. Let’s discuss how I can contribute to achieving your goals! Best Regards, Badar

@Julian29

Hello, I’m excited about the opportunity to join your team as a Senior Java Backend Developer. With over 6 years of experience in Java development and a strong background in MongoDB and Elasticsearch, I am confident in my ability to optimize your data architecture and search capabilities for lightning-fast, relevant results. Key Approach & Features • Data Architecture: I will design and implement scalable data models in MongoDB, ensuring high-speed read/write operations for efficient data storage and retrieval. • Search Optimization: I have deep expertise in Elasticsearch, including tuning query performance, index management, and custom mapping to provide advanced search features and fast queries. • Backend Engineering: I’ll develop and scale microservices using Java 17+ and Spring Boot, integrating seamlessly with NoSQL and search engines. • Data Synchronization: I’ll build reliable data pipelines with tools like Kafka to ensure real-time consistency between MongoDB and Elasticsearch. • API Excellence: I will create high-throughput RESTful APIs, leveraging full-text search, filtering, and aggregation capabilities for robust performance. Looking forward to contributing to your team and building scalable, high-performance data architectures! Thank you,

@TechizeBuilder

Hi, I came across your project "Senior Java Backend Service Developer" and I'm confident I can help you with it. About Me: I'm a agency owner with over 8+ years of experience in MySQL, API Development, MongoDB. , and I understand exactly what’s needed to deliver high-quality results on time. Why Choose Me? - ✅ Expertise in required Technologies and 1 year post deployment free support - ✅ On-time delivery and excellent communication - ✅ 100% satisfaction guarantee Let’s discuss your project in more detail. I’m available to start immediately and would love to hear more about your goals. Looking forward to working with you! Best regards, Deepak

@DigitaSyndicate

Beware of the lurking peril in scaling hybrid Java and NoSQL systems: subtle data inconsistencies and query latency can silently erode user experience and data integrity. Your demand for expertly integrating Java 17 Spring Boot microservices with MongoDB and Elasticsearch underscores the need for airtight data modelling, real-time synchronization, and precision search optimisation. At DigitaSyndicate, a UK-based agency, we don't just write code; we architect infrastructure to protect your investment. Our commitment to local accountability ensures that your platform benefits from robust, transparent oversight paired with expert understanding of UK-specific regulatory environments. Have you validated that your data pipeline architecture guarantees strict consistency under concurrent writes and that Elasticsearch's custom scoring algorithms align precisely with your evolving user search patterns? Casper M. DigitaSyndicate

@usmanbashir12100

Hi, I have extensive experience designing high-performance backend systems with Java 17+ and Spring Boot, integrating with MongoDB and Elasticsearch at scale. I can optimize your data models, implement advanced search features, and ensure real-time synchronization between databases using robust pipelines, all while maintaining fast, reliable APIs. I follow best practices for indexing, query optimization, and microservice architecture, and I’m comfortable leveraging Docker, Kubernetes, and cloud platforms to deploy scalable solutions. You’ll receive a performant, maintainable backend setup that enhances search responsiveness and overall platform efficiency. Best regards,

@arbu1499

Hi! I have extensive experience building high-performance Java backends with Spring Boot, integrating MongoDB and Elasticsearch at scale. I can design optimized data models in MongoDB, manage large Elasticsearch clusters with custom mappings and query DSL tuning, and implement reliable real-time synchronization pipelines to keep your data consistent. I’m also comfortable leading technical discussions, mentoring teams on NoSQL and search best practices, and delivering high-throughput REST APIs that leverage full-text search and aggregation. My stack includes Docker/Kubernetes deployments, cloud infrastructure (AWS/GCP), and rigorous testing with JUnit and Mockito to ensure performance and reliability. Looking forward for your positive response in the chatbox. Best Regards, Arbaz M

@Ekarthaan

Hi mrknowitall27, This is quite similar to a project I delivered last week, so I can jump straight into execution. Ready to start immediately. Which data domains (e.g., users, courses, skills) drive the heaviest queries, and what p95 latency/throughput SLOs do you need for search, filters, and aggregations at peak? How are MongoDB→Elasticsearch updates handled today (CDC/outbox, event schema, lag tolerance), and do you require near‑real‑time reindexing with zero‑downtime mapping migrations? - Implement an event-driven sync: MongoDB change capture via Debezium→Kafka with an outbox pattern and versioned, idempotent events to guarantee ordering, de‑dupe, and exactly‑once semantics at the sink. - Use index-per-version with aliases (blue/green) plus ILM, tiered storage, and routing keys; prewarm analyzers and enable ES k‑NN ready mappings to future‑proof vector search without impacting current latency. Action Plan: - Discovery: Validate SLOs, traffic model, data cardinalities; audit current Mongo/ES clusters and queries; define relevance KPIs. - Data Modeling: Reshape Mongo documents, compound/TTL/partial indexes; shard strategy and read/write paths; Spring Data tuning. - Search: Define ES mappings/analyzers, dense fields, aggregations; query DSL optimization and caching Best Regards, Sid

@belotefreelancer

"I have gone through your description. "This is my area of specialization, i can get it done 100 % perfectly well. Please ping me in person. I can help you to complete all tasks. I have hands-on experience in this field. We have already done similar types of projects. Connect with us for more details. Rest assured your satisfaction is guaranteed." Looking forward to your response." Thank you for your time and I am confident that we will be a great fit for this project. Best,

@Aaleen110

I’ve spent the last decade architecting Java backend services where microsecond latency and high-volume ingestion were primary KPIs. Having recently led the overhaul of a distributed data engine for a fintech platform, I am familiar with maintaining sub-second response times while managing scaling datasets. My experience aligns with your need for a developer who designs resilient, high-performance architectures that handle the rigors of production environments without compromising on stability. I focus on building systems that are performant and modular enough to scale effortlessly as your data demands grow. I utilize a stack centered on Java 21 and Spring Boot, leveraging Project Reactor for non-blocking I/O to maximize throughput. My strategy involves optimizing the persistence layer through advanced SQL tuning and strategic indexing, often integrating NoSQL like MongoDB for high-velocity needs. I implement message-driven architectures using Kafka to ensure service decoupling and reliability. Furthermore, I integrate monitoring via Prometheus and Grafana, ensuring every microservice is fine-tuned for peak performance and that we have full visibility to address potential bottlenecks before they impact your production users. Could you clarify if the focus is on optimizing legacy code or building a greenfield architecture? Additionally, are there specific throughput targets or real-time processing requirements to prioritize? I am available for a quick chat to discuss how my background in high-concurrency systems can help you meet your goals. I look forward to helping you build a robust, scalable backend service that exceeds your performance requirements.

@solutionsplayers

As a Java backend developer with a wealth of full-stack experience, I'm confident in my ability to contribute significantly to your career pathway platform. Having worked on several projects, I've become an expert at optimizing performance and ensuring efficient data structures. My hands-on experience with Java 17+ and Spring Boot paired with my mastery of MongoDB and Elasticsearch positions me perfectly to bridge your robust Java/Spring services with the modern data stack you're looking to implement. Another quality that sets me apart for this role is my dedication to API excellence and commitment to high code quality. Creating APIs that leverage full-text search, filtering and aggregations is second nature to me as is ensuring a clean, well-documented codebase through comprehensive testing strategies using JUnit, Mockito and integration testing for data layers - all of which are crucial for a high-performance backend service. In summary, choosing me as your Senior Java Backend Service Developer means bringing on board an experienced professional adept at handling complex architectures like this one. As a seasoned Full Stack developer, I not only bring strong skills in Java development but also valuable experience with architecture design, back-end operations, and creating solutions that add tangible

@billybryan98

Hello, I’ve spent over a decade building scalable Java backends and data pipelines. I focus on clean interfaces, high‑performance data models, and reliable integrations between microservices and data stores. With Spring Boot and Java 17+, I design systems that stay fast as they scale, while keeping maintenance simple and predictable. I’ve architected and delivered MongoDB data models and Elasticsearch search layers for large-scale platforms, including robust indexing, aggregation strategies, and tuned query DSLs. I’ve built real-time pipelines with Kafka and CDC patterns to keep MongoDB and Elasticsearch in sync, and I’ve shipped RESTful APIs that power fast, relevant search and advanced filtering. I mentor teams on NoSQL best practices and can lead technical discussions to evolve your search capabilities. I can handle this work end‑to‑end, from data modeling and indexing to reliable synchronization and API design, delivering with quality and on time. Best regards, Billy Bryan