Senior Java Kafka Developer Needed

@rohitpatidar001

Hi, I'm very interested in this opportunity. I have **11 years of professional Java development experience**, building enterprise-grade backend applications using **Java 17, Spring Boot, Apache Kafka, Microservices, REST APIs, Git, and CI/CD**. I have worked extensively on high-throughput backend systems where Kafka was used for asynchronous communication between microservices and external systems. My responsibilities have included designing producers and consumers, optimizing message processing, improving reliability, and reducing processing latency while maintaining scalability. One performance improvement I'm particularly proud of involved optimizing asynchronous processing by redesigning Kafka consumers, reducing unnecessary database calls, introducing batch processing where appropriate, and improving concurrency. This significantly increased throughput while reducing processing time and resource consumption. My expertise includes: * Java 17 & Spring Boot * Apache Kafka (Producers, Consumers, Topics, Error Handling) * Microservices Architecture * REST API Development * Performance Optimization * Git & CI/CD * SQL/PostgreSQL/MySQL * Debugging and Production Support I write clean, maintainable, and well-tested code and am comfortable working in agile teams with daily stand-ups, code reviews, and pull request workflows. I'm available to start immediately and would be happy to discuss your platform, Kafka architecture, and performance goals.

@kamran2012

Hello, I will build out your new Java 17/Spring Boot features and optimize the existing Kafka integration layer: topics, schemas, producers, consumers, all with performance benchmarks proving the gains. EST morning overlap works well for me. On a similar engagement, tuning consumer batch sizes and partition assignments for a multi-partner integration layer cut p99 latency by roughly 40% while doubling throughput. I will document every change so your team sees exactly what moved the needle. Questions: 1) How many topics and partitions are currently in play, and are you using Avro or Protobuf for schemas? 2) Is the CI pipeline Jenkins/GitHub Actions, and do you have a staging Kafka cluster for load testing? Looking forward to talking through the details. Kamran

@ashokdzpxq

Hi , I would like to apply for the opportunity to contribute to your project. With 18+ years of experience as a Java Spring Developer, I bring a proven track record of designing, developing, and architecting scalable solutions for diverse industries, including fintech, e-commerce, and enterprise software. Technical Expertise ✅Spring Ecosystem: Spring Boot, Spring Batch, Spring Cloud, Spring Security, Spring AOP, Spring MVC, JSP, Thymeleaf. ✅AI : RAG , Claude , Codex ✅Microservices & APIs: Microservices architecture, RESTful APIs. ✅Messaging & Event-Driven Systems: Apache Kafka, WebSocket, STOMP, Socket io ✅Cloud Integration: AWS (ECS Fargate, S3, EC2, ALB, RDS). ✅Database Design: SQL (MySQL, Oracle, Yugabyte, PostgreSQL, MS SQL Server) ✅DevOps & Containers: CI/CD pipelines, Jenkins, Docker, Podman, Kubernetes ✅Search & Caching: Elasticsearch, Redis, Terracotta Caching ✅System Integration & Legacy Modernization: Seamlessly integrate modern applications with legacy systems ✅Frameworks & Tools: JHipster, Keycloak, Flowable, JBPM, Flyway, MapStruct,JavaFX ✅CMS Solutions: Documentum, Alfresco ✅XML & Web Services: SOAP, RESTful services ✅Reporting Tools: Crystal Reports, Jasper Reports, BIRT ✅Testing Framework/Tools: Junit5,Selenium,JMeter I am dedicated to delivering clean, maintainable code and scalable architectures, ensuring that applications are ready to grow with your business.

@mahads31

With over six years of experience in Java backend development, I am confident that I am the best fit for your modernization project. My skills are deeply rooted in building clean and well-tested Java code, which matches your requirement for each new feature. My exceptional knowledge of Apache Kafka sets me apart as an invaluable asset to your Kafka integration layer, allowing me to design and refine topics, schemas, producers, and consumers effectively. I have substantial experience in optimizing performance and ensuring fault tolerance while keeping latency to a minimum. One example of this is when I applied alternative tooling in a previous project which achieved the same results but in a more efficient manner. This resulted in substantial throughput rates feeding into the system's performance benchmarks, which ultimately drove measurable gains. Furthermore, my work strategy aligns excellently with your project's work-style. I'm extremely comfortable working autonomously and managing my own time effectively while staying committed to clear daily communication with the team for unblocking any issues that may arise.

@techsty2014

Hello there, We will build your new Java 17 feature services and optimize the Kafka integration layer for lower latency and higher throughput. One area we will focus on early is consumer group tuning and partition assignment. Rebalancing storms are a common source of latency spikes in multi-consumer setups. We will configure sticky assignors, tune session timeouts, and benchmark before and after so every optimization is backed by real numbers. A couple of quick things to confirm: 1) Are you using Confluent Schema Registry (Avro/Protobuf) for your Kafka topics, or plain JSON serialization? 2) How many partitions and consumers are in play today, and what throughput targets are you aiming for? The number quoted here is a starting estimate. Looking forward to potentially working together. Thanks, Faizan

@rakhshanz3

I am thrilled with the opportunity to apply my extensive experience in Backend Development and Artificial Intelligence to your project. Having worked on large-scale software systems across multiple domains, I have successfully integrated Apache Kafka in mission-critical situations, ensuring fault tolerance and optimal performance, ensuring low latency while scaling the throughput progressively. Notably, as the CTO of an AI startup, I led the development of several enterprise-grade applications with Kafka as a core integration layer. One significant challenge we faced was managing a complex network of internal for code reviews. Let's tackle this interesting challenge together!

@TechizeBuilder

Dear Client, I read "Senior Java Kafka Developer Needed" carefully and understand you want clean, modern Figma designs that translate smoothly into a real product. My hands-on experience with Java, Backend Development, API Development aligns directly with what you need. I design in Figma with a focus on usability and visual polish — wireframes, high-fidelity mockups, prototypes and design systems — handed off dev-ready so nothing gets lost in build. A few quick questions to get us started: 1. Is this for a website, mobile app, or both? 2. Do you have existing branding (logo, colors, fonts), or should I help define it? 3. Do you need clickable prototypes, or static screens with a handoff-ready design system? Thanks & Regards, Deepak

@tyronet2

You need a Java backend engineer who can improve an enterprise platform with reliable Kafka integrations, new service development, and measurable performance improvements. I have experience building backend systems with Java Spring Boot, microservices, REST APIs, and event-driven architectures. At Marin Software (US), I worked on scalable backend services, AWS-based systems, and real-time data pipelines where reliability, performance, and clean API design were critical. For Kafka-based workflows, I have worked with asynchronous processing patterns, message-driven services, and integrations that require careful handling of failures, retries, and data consistency. I understand the importance of designing proper topics, producers, consumers, and monitoring around production workloads. I also follow disciplined development practices with Git workflows, code reviews, automated testing, and CI pipelines. My approach is to first understand the current architecture, identify bottlenecks, then make focused improvements backed by measurable results.

@abhayk49

Hi, I’m a Java Backend Developer with 6+ years of experience in Spring Boot, Microservices, REST APIs, and event-driven architectures, and I have hands-on experience building scalable backend systems with Kafka-based integrations. Why I'm a good fit: ✅ Java 17, Spring Boot & Microservices ✅ Apache Kafka, REST APIs & Event-Driven Architecture ✅ Spring Data JPA, MySQL/PostgreSQL & Redis ✅ Docker, Git, CI/CD & Production Support I’ve worked on enterprise microservice platforms where Kafka was used for asynchronous communication, event processing, and service-to-service integration. I also have experience optimizing backend services by improving database queries, reducing API response times, and refining event-processing workflows for better throughput and reliability. I can deliver clean, well-tested code, production-ready Kafka integrations, and measurable performance improvements while following your Git and CI/CD workflow. Timeline: I can start immediately and deliver features incrementally through pull requests with regular progress updates. I typically respond within 1–2 hours during working hours and am comfortable collaborating with your team's schedule. Looking forward to discussing your project. Best regards, Abhay

@mubeenm5026

With over 6 years of experience specifically in Java backend development and a focus on high-performance systems, I am uniquely positioned to meet your needs for modernising your enterprise-grade platform. Apache Kafka is a specialty of mine, having handled complex integrations that required designing and refining topics, producers, and consumers while ensuring fault tolerance and low latency. I've also delivered significant performance optimizations for similar projects in the past. Working with the latest tech stack of Spring/Spring Boot, Git, CI pipelines, and most importantly Java 17, I already align closely with your project requirements. Furthermore, my fluency with alternative tooling that achieves the same results adds flexibility to our collaboration. At Web Crest, our approach to software development has always been business-focused and future-ready - exactly what you need for a scalable solution. Additionally, clear communication is paramount in any project, be it high-level managerial updates or daily stand-ups. My time zone overlap with EST ensures we can effectively address any issues and keep the project moving forward unhindered. My most challenging Kafka integration involved tying together multiple data sources into a real-time analytics system with stringent delivery guarantees.

@KarthikTechCon

Senior Java Kafka Developer: With 15+ years of experience, I specialize in building robust backend systems and optimizing performance across enterprise-grade platforms. I understand the critical role Apache Kafka plays in your integration layer and am prepared to enhance your system’s efficiency. Execution Strategy: - Design and implement Kafka topics, producers, and consumers tailored to your business needs. - Utilize Java 17 and Spring Boot to develop clean, maintainable service code for new features. - Conduct thorough performance benchmarking to quantify improvements and ensure fault tolerance. - Collaborate daily to address challenges and streamline development processes. Key Deliverables: - Well-structured Java service code for each feature, adhering to best practices. - Comprehensive documentation of the Kafka integration layer, ensuring deploy-readiness. - Performance benchmarks that highlight optimization results, demonstrating clear ROI. Quality & Performance: - Focus on low latency and high throughput through rigorous testing and code reviews. - Ensure all code meets CI pipeline standards for reliability and maintainability. Timeline & Next Steps: - I anticipate a timeline of 4-6 weeks for initial deliverables, with ongoing support for integration and performance tuning. Best Regards, Karthik B Resonite Tech

@rajivdir

I have more than 15 years of experience in java and kafka for development of enterprise application. Looking for your response to start. Thanks, Rajiv

@shayankhan333

Getting Kafka throughput up while adding features on a live integration layer is a balancing act, and the order of operations matters more than most teams realize. I've built and optimized Kafka-based pipelines across enterprise platforms, handling schema evolution, consumer group rebalancing under load, and partition strategies that directly impact latency. One thing worth flagging early: if your existing topics weren't designed with compaction or retention policies tuned for your current throughput targets, that's often where the biggest performance wins hide before touching application code. I'll work within your Java 17 and Spring Boot stack, deliver well-tested service code with documented Kafka integrations, and provide clear performance benchmarks so every optimization is measurable. Daily standups with EST-morning overlap fit my schedule well. Best regards, Shayan

@wikoguevara

Hello. I understand you're looking for someone who can contribute immediately to an enterprise platform where Kafka is central to both new feature delivery and system performance. The challenge is keeping producers, consumers plus topic design efficient while improving throughput without sacrificing reliability across existing services. I can build new Java 17 services with Spring Boot, implement Kafka integrations, refine message flow plus optimize processing bottlenecks based on measurable benchmarks. My approach is to validate each change through tests, code reviews plus CI so deployments remain predictable. I have worked on high-throughput backend systems using Java, Spring Boot plus Apache Kafka. Could you share whether you're using Avro, Protobuf or JSON for Kafka message schemas? Also, are you currently running a single Kafka cluster or multiple environments with separate clusters? I can start immediately and join your daily EST overlap.

@bhargav922002

Hello, I'm bharghav, a Java specialist with a decade of experience in building robust backend systems. My expertise lies in architecting and optimizing Java applications, ensuring high performance and seamless integration, particularly with messaging systems. I understand you need a Senior Java Kafka Developer to modernize your platform, focusing on new features and performance enhancements. I'll design and refine your Kafka integration layer, including topics, producers, and consumers, ensuring fault tolerance and low latency. My approach will deliver clean, well-tested Java 17 code and documented Kafka components, backed by clear performance benchmarks.

@mikes126

I’ve worked on Kafka-driven Java microservices where the hard part wasn’t just connecting producers and consumers — it was keeping event flows reliable under load while reducing latency and operational issues. Your focus on Kafka performance + enterprise backend improvements is exactly the type of work I handle. For your platform modernization, I would approach this by: Reviewing the current Kafka architecture (topics, partitions, consumer groups, retries, error handling, schemas) Optimizing producers/consumers for throughput, latency, and fault tolerance Refactoring Spring Boot services where bottlenecks exist Adding proper testing, monitoring, and benchmarks to prove improvements before/after Delivering clean PR-based code with CI validation A challenging Kafka integration I handled involved connecting multiple distributed services through Kafka while maintaining message ordering, handling consumer failures, and preventing duplicate processing. I improved reliability by redesigning consumer handling and tuning configurations for higher throughput. One performance improvement I’m proud of was optimizing a Java/Spring Boot service by reducing unnecessary database calls, improving async processing, and tuning event consumption — resulting in significantly faster response times and better system stability.

@rohank2502

I read your post - modernising an enterprise Java platform with Kafka at the integration core is exactly the work I do. I can start now and hand off clean, tested code. How I would approach it: - Kafka: design/refine topics, producers, and consumers for the partner integration layer - idempotent (exactly-once) consumers, proper partitioning/consumer-group strategy, retry + dead-letter topics for fault tolerance, and tuning to hold latency down as throughput rises. - Services: build the new business features on Spring Boot microservices with clean APIs, plus targeted performance work (profiling hot paths, query/serialization fixes) to hit measurable gains. - Observability so the performance improvements are provable (metrics on lag, latency, throughput). One question to scope precisely: which pain is more urgent for the first milestone - the new features, or the performance/latency work on existing services? Happy to start right away.

@srdank001

Hi, I VALUE YOUR TIME AND MINE TOO! I have 8 years of backend experience with Java, Spring Boot, Kafka and enterprise integrations. My most challenging Kafka work involved designing reliable producers and idempotent consumers across multiple services, with schema evolution, retries, dead letter handling and partner API failures. One performance win I’m proud of came from improving partition strategy, batching and database writes, which reduced consumer lag and stabilized throughput under peak load. I’m comfortable with Java 17, PR reviews, CI and EST morning overlap. Thanks, Srdan

@riyanigam31081

Hi, I’m a Java backend engineer with 6+ years of experience in Java 17, Spring Boot, and Apache Kafka. I can build scalable features, optimize existing services, and design reliable Kafka integrations with efficient topics, schemas, producers, and consumers. I follow clean coding, testing, PR reviews, and CI/CD best practices, with a strong focus on performance, low latency, and high throughput. I’m available for EST-morning overlap and ready to get started.