Python and Java Developer Needed

@ZohaibRoy

⭐⭐⭐⭐⭐ Expert Python and Java Developer for Your Real-Time Applications ❇️ Hi My Friend, I hope you are doing well. I've reviewed your project needs and see you are looking for an experienced Python and Java developer. Look no further; Zohaib is here to help you! My team has successfully completed over 50 similar projects in Python and Java development. I will utilize advanced techniques and tools to deliver efficient solutions tailored to your requirements. ➡️ Why Me? I can easily handle your project as I have over 6 years of experience in Python and Java development. My expertise includes working with async programming, FastAPI, Celery, and Docker. Additionally, I have a strong grip on real-time WebSocket applications and cloud deployment. ➡️ Let's have a quick chat to discuss your project in detail. I can provide samples of my previous work and demonstrate how I can meet your needs effectively. Looking forward to connecting with you! ➡️ Skills & Experience: ✅ Advanced Python (3.10+) ✅ FastAPI Development ✅ Celery & Redis ✅ Docker & Docker-Compose ✅ Nginx & SSL ✅ Real-time WebSockets ✅ Horizontal Scaling ✅ Monitoring & Observability ✅ Cloud Deployment (AWS, DigitalOcean) ✅ Rate Limiting & Throttling ✅ Basic DevOps (CI/CD) ✅ API Integration Waiting for your response! Best Regards, Zohaib

@gunslinger

I’ve built production FastAPI systems with heavy async workloads, WebSockets, and Redis/Celery pipelines running in Docker behind Nginx, so handling real-time connections, background workers, and scaling across multiple instances is something I’m already comfortable with. I don’t just wire things up, I design them to stay stable under load (rate limiting, retries, monitoring, clean queue handling), and I can jump straight into your stack without a ramp-up phase. I’m available to start immediately, work in your timezone, and can quickly map out a clean architecture for your API, workers, and WebSocket flow so this runs reliably at scale.

@OutsourceMan

⭐⭐⭐⭐⭐ As a highly seasoned team from CnELIndia, we're an excellent fit for your Python and Java developer needs. Our unmatched 18 years of industry experience has enabled us to master numerous technologies including Docker, FastAPI, Linux, and Python that are non-negotiables in your project. Throughout our long-standing professional journey, we have successfully developed and deployed several high-scale applications with Celery, Redis, and Docker that served 500+ concurrent users. We're equally at ease handling WebSocket-heavy real-time applications; an expertise reinforced by our accomplishments using python-socketio or similar technologies. Moreover, CnELIndia's proficiency in Cloud deployment (AWS ECS, DigitalOcean App Platform), Kubernetes basics, and basic DevOps (CI/CD with GitHub Actions) ensures your project enjoys the benefits of both expansive scalability and streamlined operations. Bringing us aboard will guarantee you a collaborative partner whose skills align with every aspect of your project.

@diektech

Hi, This is Elias from Miami. I checked your project description and understand you’re looking for an experienced Python and Java developer to help with your project. You need someone with advanced skills in Python, along with knowledge of key technologies like Docker, Kubernetes, and FastAPI. I’ve worked on several similar platforms and understand the key technical challenges involved. My approach would involve setting up a robust architecture using Docker and Kubernetes for containerization and orchestration, ensuring scalability and reliability. I’d be happy to go through the details and suggest the best technical approach. I have a few questions to get a better understanding: Q1 – What specific features or functionalities do you need in your application? Q2 – Are there any existing systems that this project needs to integrate with? Q3 – What are your expectations regarding user roles and permissions within the application? Looking forward to hearing from you.

@iosifpeterfi

I'm Iosif Peterfi, 15+ years delivering practical tech solutions that drive business value. I need an experienced python and java developer. Must-Have Skills (Non-Negotiable) Advanced Python (3.10+) with strong async/await and asyncio knowledge FastAPI (production experience with async endpoints, WebSocket handling, dependency injection) Celery + Redis (task queues, broadcast patterns, worker scaling, retries, Flower monitoring) Docker & docker-compose (multi-container setups, volumes, networking, health checks) Nginx + Let's Encrypt SSL (reverse proxy, auto-renewal, HTTP-to-HTTPS redirects) Real-time WebSocket experience (python-socketio or similar, handling persistent connections, events like basicapi_*) Redis (as both broker and shared state store for user/device sessions) Strongly Recommended (For Reliable 5000-User Scale) Horizontal scaling & distributed systems (multiple API instances behind a load balancer, auto-scaling groups) Monitoring & observability (Prometheus + Grafana, or at least basic logging/metrics) Basic DevOps (CI/CD with GitHub Actions, environment variables, secrets management) Experience Level Required Senior (6+ years professional Python experience) At least 2-3 shipped production apps with Celery + Redis + Docker at 500+ concurrent users Proven ability to handle WebSocket-heavy real-time applications This maps directly to my experience. This is my speciality. Your approach

@Herculesz

Hi, I am a senior Python and Java developer with extensive experience in FastAPI, asyncio, Celery + Redis, and real-time WebSocket systems. The core technical challenge is designing a horizontally scalable, low-latency architecture capable of supporting thousands of concurrent users while maintaining reliable task execution and session consistency. My solution is to build async FastAPI endpoints with Python-SocketIO for persistent connections, using Celery + Redis for distributed task processing with retries and monitoring via Flower. Docker and docker-compose will ensure reproducible multi-container deployments, while Nginx with Let’s Encrypt manages secure traffic and HTTP-to-HTTPS redirects. I also implement Redis-based session storage, rate limiting, and observability via logging, Prometheus, and Grafana. The architecture will support horizontal scaling across multiple API instances and can integrate with cloud platforms like AWS ECS, DigitalOcean, or Kubernetes for auto-scaling. My experience includes production applications handling real-time events, broadcast messaging, and high-concurrency async workflows. Thanks, Hercules

@Feriver

Hello, I am a senior Python and Java developer with 6+ years of experience building high-performance, real-time applications. I specialize in Python 3.10+, asyncio/async-await, FastAPI with async endpoints and WebSocket handling, and Celery + Redis for task queues, broadcast patterns, and worker scaling. I have deployed multi-container Docker setups, configured Nginx with Let’s Encrypt SSL, and managed persistent WebSocket connections with Redis-backed state. I can deliver horizontally scalable systems for 5000+ concurrent users, implement rate limiting, monitoring with Prometheus/Grafana, and cloud deployments (AWS ECS, DigitalOcean, or Kubernetes). CI/CD pipelines, environment management, and observability will ensure production reliability. Thanks, Asif

@corpmember29

HELLO, I HAVE REVIEWED YOUR REQUIREMENT FOR A SENIOR PYTHON AND JAVA DEVELOPER WITH EXPERIENCE IN HIGHLY SCALABLE, REAL-TIME SYSTEMS. With 10+ years of experience in Python (3.10+), Java, and asynchronous architectures, I can build and maintain production-ready FastAPI applications with async endpoints, WebSocket support, and dependency injection. I am well-versed in Celery + Redis for task queues, worker scaling, retries, and real-time broadcast patterns, as well as Docker & docker-compose for multi-container deployments with health checks. APPROACH → • Real-time Systems: Implement WebSocket-heavy APIs using python-socketio or similar, handling persistent connections and events efficiently. • Scalability: Horizontal scaling, load balancing, Redis-based session/state management, and high-availability deployment. • Infrastructure & DevOps: Nginx reverse proxy with SSL auto-renewal, CI/CD pipelines, monitoring (Prometheus/Grafana), and cloud deployment (AWS/DigitalOcean/Render). • Advanced Features: Rate limiting, throttling, and optional integration with external APIs (Lovense/Buttplug-py/audio processing) if required. I WILL PROVIDE 2 YEARS FREE ONGOING SUPPORT AND COMPLETE SOURCE CODE, following Agile methodology, assisting from setup to deployment. I am ready to start immediately and deliver a robust, production-grade system capable of handling thousands of concurrent users. I eagerly await your positive response. Thanks

@mubeenm5026

As CEO of Web Crest, I speak on behalf of my 10-member team to emphasize our skills and proficiencies. We have been in the industry for over a decade - a period marked by growth, learning, and the successful delivery of impactful solutions. My career experience alone has spanned 6+ years in professional Python development, including work with the non-negotiables you shared: advanced Python, asyncio, Docker, Nginx, Celery + Redis, and more. Perhaps even more pertinent to your project is our success with significant scale production apps. We've shipped three fully functional products that had over 500 concurrent users each - all relying on Celery+Redis+Docker architecture like you require. These projects demonstrate our familiarity with load balancing, WebSocket handling, task queues, and distributed systems. Additionally, we'd able to efficiently solve problems such as user/device session maintenance using Redis. When it comes to cloud deployment and DevOps practices like CI/CD with GitHub Actions, it's something we do every day. Even scope requests regarding horizontal scaling & distributed system configuration through services like ECS or Kubernetes can be executed effortlessly by our team. As an added bonus that aligns perfectly with your 'Nice-to-Have' category - we also have experience working with complex multi-client/server applications such as audio processing using Librosa.

@elishadiah326

Hi, this is a strong match for my background because I have strong experience developing real-time backend systems role where async performance, WebSocket stability, task queues, and deployment architecture all matter together. I’m comfortable with Python 3.10+, FastAPI, asyncio, async WebSocket handling, Celery + Redis, Docker/docker-compose, Nginx, SSL setup, and Redis-backed session/state management. I’ve worked on production-style backend systems where the challenge was not just writing endpoints, but keeping persistent connections stable, scaling workers correctly, handling retries, and making the system reliable under load. From your requirements, I understand the core priorities: - async FastAPI backend with clean dependency structure - WebSocket-heavy real-time event handling - Celery/Redis task orchestration and worker scaling - Dockerized multi-container deployment - Nginx + Let’s Encrypt production setup - scaling, monitoring, rate limiting, and clean DevOps practices I’m also comfortable working across backend integrations where Python services need to cooperate with Java-based components if needed. What gives me confidence here is my focus on production readiness: clean architecture, observability, error handling, retries, health checks, and deployment setups that do not fall apart once real concurrency hits. If you want a senior developer, I’d be glad to discuss the architecture and next steps. Best regards, Diah

@devendrathakur12

Hello, Can we discuss about your real-time Python backend project cause I have worked on async systems handling persistent socket connections and queued jobs under load. I can build scalable FastAPI + WebSocket services with Celery, Redis, Docker, and Nginx, keeping it stable at scale. Do you already have event schemas defined? How will sessions be shared across instances? Do you need sticky sessions or pure stateless scaling? I’ll use FastAPI, Redis, and Prometheus for clean performance tracking. Best regards, Devendra S.

@SBITServices

Hi, I am a seasoned Python and Java developer with over 6 years of professional experience. I have expertise in advanced Python, FastAPI, Celery + Redis, Docker, Nginx, WebSocket handling, and Redis. Additionally, I am well-versed in horizontal scaling, monitoring, cloud deployment, and rate limiting. Let's discuss this project further to align on the details. Regards, Sai Bhaskar

@Julian29

Hello, I have carefully reviewed your requirements and understand the need for a senior-level Python and Java developer with strong experience in async systems, real-time communication, and scalable architecture. I have 10+ years of experience in Python (3.10+), FastAPI with async endpoints and WebSockets, Celery + Redis for distributed task processing, and Docker-based deployments with Nginx and SSL configuration. I have built and scaled real-time systems handling high concurrent users, including WebSocket-based applications with proper session handling, rate limiting, and horizontal scaling. I am experienced in cloud deployment, monitoring, and CI/CD pipelines, ensuring stable and production-ready environments. I follow agile methodology with clean, well-documented code and structured delivery. I can handle end-to-end development including API design, infrastructure setup, scaling strategy, and performance optimization. I WILL PROVIDE 2 YEAR FRE E ONGOING SUPPORT AND COMPLETE SOURCE CODE, WE WILL WORK WITH AGILE METHODOLOGY AND WILL GIVE YOU ASSISTANCE FROM ZERO TO DEPLOYMENT. I am available for consistent communication and long-term collaboration. I eagerly await your positive response. Thanks.

@programmingarena

Hello there, ✸✸✸Python & Java Expert is Here✸✸✸ I’ve checked your project – “Python and Java Developer Needed” And read the description carefully. I’ve completed a lot of Python project based on ✔Django, ✔Pandas, ✔Flask, ✔FastAPI, ✔Jupyter Notebook, ✔Automation, ✔Selenium & etc. Libraries in various platform. Here is some of my recent completed Python Project: ✔️ https://www.freelancer.com/projects/api-developmet/Python-IBKR-Trading-Template/details ✔️ https://www.freelancer.com/projects/python/Python-Programmer-for-Mathematical/details ✔️ https://www.freelancer.com/projects/python/Looking-for-Python-expert-code/details ✔️ https://www.freelancer.com/projects/python/Python-Backgammon-Game-Debugging-37926848/details Also you can visit my profile and check all the Reviews of my previous all Python Project to get the idea about my knowledge and skills. I’m ready to be hired or ready to be awarded as I can start this task Right Now. So, I’m waiting for your response in chat box. Best Regards! Eng. Bablu Mondol

@artakharutyun7

Hello, I’m a senior Python/Java engineer with strong experience building "real-time, distributed systems at scale", and your requirements align closely with systems I’ve delivered in production. "Core expertise:" • Python 3.10+ with deep "asyncio / async-await" patterns • FastAPI (async endpoints, WebSockets, dependency injection) • "Celery + Redis" (task queues, retries, scaling, Flower monitoring) • Real-time systems using "WebSockets (python-socketio)" with persistent connections and event-driven architecture • Docker & docker-compose (multi-service setups, networking, health checks) • Nginx + Let’s Encrypt (secure, production-ready reverse proxy configs) "Scalability & reliability:" • Designed systems handling "1K–5K+ concurrent users" • Horizontal scaling (multi-instance APIs behind load balancers) • Redis as shared state (sessions, pub/sub, coordination) • Rate limiting + fault-tolerant retry logic • Monitoring (Prometheus/Grafana) + structured logging "Cloud & DevOps:" • AWS / DigitalOcean deployments • CI/CD pipelines (GitHub Actions) • Containerized, reproducible environments I focus on "low-latency, stable WebSocket architectures" with clean separation between API, workers, and real-time layers—ensuring performance under load. Confident I can deliver a "production-grade, scalable system" that meets your concurrency and reliability goals. Best regards, Artak

@mayankinnovative

Hi, As per my understanding: You are looking for a senior-level Python (and some Java) developer to architect and build a high-concurrency, real-time backend system using FastAPI, WebSockets, Celery/Redis, and Dockerized infrastructure—capable of scaling to thousands of concurrent users with strong DevOps and observability practices. Implementation approach: I will design a production-grade async architecture using FastAPI (async endpoints + WebSockets) with Redis as broker/state and Celery for background processing (retries, broadcasts). The system will be containerized via Docker Compose, fronted by Nginx (SSL via Let’s Encrypt). For scalability, I’ll enable horizontal scaling (multiple API instances behind a load balancer) and implement rate limiting and session management. Monitoring (Prometheus/Grafana or structured logging) and CI/CD pipelines will ensure reliability. The codebase will follow clean modular patterns, optimized for high concurrency and maintainability. A few quick questions: 1. Which cloud/platform do you prefer for deployment? 2. Expected peak concurrent users (beyond 5k)? 3. Any specific WebSocket event structure already defined? 4. Do you need Java for specific modules or integrations?

@kareemmaize

Hi there To build and scale a real-time system with FastAPI, WebSockets, and distributed task processing, the most critical part is structuring async flows and state management so the system remains stable under load. I’ll approach this by aligning FastAPI async endpoints, WebSocket handling, and Celery workers with Redis as a shared state layer, ensuring reliable event handling and background processing. This means the system can support persistent connections, broadcast events, and task execution without performance degradation or data inconsistencies. My process is simple. First, I review the current architecture, connection handling, and worker setup to identify bottlenecks. Then I optimize async flows, scaling strategy, and infrastructure configuration for reliability and performance. After scope and requirements are confirmed, I will provide the exact timeline and budget for a stable and scalable implementation. If it aligns with you, let’s discuss in detail via private chat.

@KarthikTechCon

**Proposal: Senior Python & Java Developer (Real-Time Systems)** Hello, I’m Karthik, a Full Stack Developer with 15+ years of experience building **high-performance, real-time backend systems** using Python, Java, and cloud-native architectures. I’ve delivered production systems handling thousands of concurrent users with async processing and WebSocket communication. ✅ **Core Expertise** • Python 3.10+ (async/await, asyncio, FastAPI – production APIs & WebSockets) • Celery + Redis (queues, scaling, retries, broadcast patterns, Flower) • Docker & docker-compose (multi-container orchestration) • Nginx + SSL (Let’s Encrypt, reverse proxy, load balancing) • Redis (broker + session/state management) ✅ **Scalability & DevOps** • Horizontal scaling (multi-instance APIs behind load balancers) • Real-time WebSocket systems (persistent connections, event-driven) • Monitoring (Prometheus/Grafana, logging) • Cloud deployment (AWS / DO / container platforms) • CI/CD pipelines (GitHub Actions, env/secret management) ✅ **Approach** • Design async-first architecture with FastAPI • Optimize task queues & worker scaling • Implement rate limiting, fault tolerance, and monitoring • Ensure stable performance for **5K+ concurrent users** I’ve built **event-driven, real-time platforms** and can confidently handle your requirements end-to-end. Happy to share relevant work and discuss architecture. Best regards, Karthik

@justinw45

Hello, I understand you are in need of an experienced Python and Java developer for a project requiring advanced Python skills, including async/await, FastAPI, Celery, Redis, Docker, Nginx, Let's Encrypt SSL, real-time WebSocket experience, and Redis usage. Additionally, skills in horizontal scaling, monitoring, cloud deployment, rate limiting, and basic DevOps are strongly recommended for reliable 5000-user scale operations. Nice-to-have skills include experience with Lovense Standard Socket API, audio processing, and Kubernetes or Terraform for advanced auto-scaling. The ideal candidate should be a senior professional with over 6 years of Python experience, having shipped 2-3 production apps with Celery, Redis, and Docker at 500+ concurrent users, and a proven ability to handle WebSocket-heavy real-time applications. I am well-versed in developing scalable applications using Python and Java, with a focus on real-time functionalities, asynchronous programming, and containerization. My experience aligns closely with the requirements outlined for this project, and I am eager to discuss how I can contribute to achieving your development goals. I am ready to start immediately and would welcome the opportunity to further discuss the project scope, timeline, and expectations. Looking forward to the possibility of collaborating on this exciting project. Best regards, Justin