Senior Golang Backend Engineer Needed

@corpmember29

Hello!! >>>> Multi languages (English and Arabic)Left-To-Right (LTR) and Right-To-Left (RTL) <<<< **** You can track the project’s progress using the tracker. I’m available to work 40 hours per week **** I have carefully reviewed your requirements for a Senior Golang Backend Engineer role focused on scaling a high-traffic SSR platform with real-time capabilities and strong performance engineering needs. I am a full-stack backend engineer with 10+ years of experience in building and scaling production-grade systems, including high-performance APIs, distributed architectures, and real-time services. I have strong experience in backend optimization, concurrency handling, caching strategies, and database performance tuning. I WILL PROVIDE 2 YEAR FREE ONGING SUPPORT AND COMPLETE SOURC CODE, WE WILL WORK WITH AGILE METHODOLOGY AND WILL GIVE YOU ASSISTANCE FROM ZERO TO PUBLISHING ON STORES. I have worked on scalable backend systems involving REST APIs, WebSocket-based real-time features, Redis caching layers, and horizontally scalable architectures. I am comfortable working with modern AI-assisted development workflows (Cursor/Claude Code) while maintaining clean, idiomatic, and test-driven engineering standards. My focus is always on system stability, performance under load, and maintainable architecture patterns that can scale from thousands to millions of users efficiently. I eagerly await your positive response. Thanks

@SmartCodeDev

Hello, I have strong experience building scalable backend systems in Go with focus on concurrency performance optimization caching and production reliability under high traffic workloads. I have worked on real time architectures using WebSockets SSE Redis queues and scalable API services integrated with React and Next js frontends. One platform I optimized was handling heavy concurrent API traffic where database bottlenecks and inefficient caching caused high latency under load. I redesigned query flows introduced Redis caching async job queues and connection pooling which reduced average response time by over 70 percent and stabilized the platform during traffic spikes. I actively use AI assisted workflows with Claude and Cursor for scaffolding profiling test generation and architecture iteration while still manually validating concurrency logic race conditions and performance critical code paths. I focus on clean idiomatic Go with strong testing discipline structured project architecture observability and maintainable long term systems. Availability: Full time Rate: $XX per hour Ready to start immediately and contribute long term to scaling your SSR platform.

@sn102a1k46

Dear Sir, I am Nam, a senior backend engineer with over 10 years of experience in web development, including extensive work with Go, high-traffic SSR platforms, and real-time systems. I am very interested in your project rebuilding and scaling your SSR web platform with Go and React/shadcn. Relevant Experience: - Go Expertise & Scalable Systems: For over 5 years, I’ve engineered backend services in Go, focusing on concurrency (goroutines, channels), performance optimization, and robust system design. - Real-Time Features: I have developed production-grade real-time features using WebSockets and SSE, including an AI-powered live chat framework and streaming analytics dashboards. - AI-Assisted Development: I use tools like Cursor, Copilot, and Claude for code review and automation, increasing productivity while maintaining code quality. Example of Scaling: At Manypixels, we scaled from ~10K to 130K MAU by redesigning the data layer (PostgreSQL with Redis caching), optimizing critical endpoints, and moving to autoscaled Kubernetes clusters. This reduced 99th percentile latency from 2.2s to 350ms. I am experienced in setting project standards, mentoring teams, and delivering clean, performant, well-tested code. I am confident I can help your platform scale reliably to the next level. Best regard, Nam

@donkixot

Dear Client, Are you looking for a senior Go engineer who can transform your high-traffic SSR architecture into an ultra-scalable, concurrency-safe powerhouse capable of handling a 100x load increase? I am a senior backend engineer and software architect with a deep background in designing high-throughput, thread-safe systems using idiomatic Go. I specialize in maximizing performance under load, structuring robust database optimizations, managing complex goroutine and channel lifecycles via contexts, and orchestrating distributed caching layers. My development philosophy ensures that deep testing, profiling for race conditions, and clean architectural patterns are integrated into the codebase from the very first commit. For your Go backend migration, my plan is to establish a modular, clean architectural pattern, optimize your relational queries, and design a highly reliable real-time server-sent events or WebSocket engine. I will utilize pprof to eliminate latency bottlenecks, integrate clean data caching using Redis, and maintain absolute testing discipline while working seamlessly within your AI-assisted development workflow. I am available to start immediately full-time and look forward to scaling this platform alongside your product team. Best regards, Oleksandr

@RusianD

❤️Hi there ❤️ As a verified engineer, I can do your project perfect. Please check my reviews to verify my skills. Warm Regards, Ruslan

@miljanan1

Hello, I have strong experience building scalable, high-performance systems with concurrency, caching, Redis, queues, SSR architectures, and real-time communication features. I’ve worked on production platforms handling large traffic volumes where performance optimization, maintainability, observability, and clean architecture were critical. I’ve also worked on scaling bottlenecks involving database-heavy workloads, caching strategies, and concurrency optimization to improve response times and reduce infrastructure load significantly. I’d be happy to discuss the current architecture, scaling goals, and engineering workflow in more detail. Looking forward to working with you, best regards.

@vasylklymiu

This project is similar like rebuilding strong highway system where traffic already exists but road must be redesigned to handle much bigger flow without slowing down. I worked before on similar backend systems where Go services handle high traffic APIs, caching layers, and real time features like WebSockets for live updates. I think starting with clear service boundaries and simple caching strategy first will make scaling easier later when traffic grows fast. As a senior backend developer with 8 years experience, I am good with Golang and can build scalable API systems with clean structure and performance focus. I expect it will take 18 days to complete this project. May I ask a question first? What is the current backend stack you are migrating from and what is the biggest performance issue right now? Waiting for your response. Vasyl

@monicasynthesis

Hello, I’ve gone through your job description and understand that you need a senior Go backend engineer to build and scale a high-traffic SSR platform with strong performance and real-time capabilities. With 5+ years of backend experience in Go, I specialize in scalable system architecture and optimization. What I can help you with: • Build scalable Go backend services with SSR and APIs • Design clean architecture with caching, concurrency, and performance focus • Implement real-time features like WebSockets/SSE Warm regards, Monica Bhatia

@srdjan9494

Hello, “Senior Golang Backend Engineer — Scale a High-Traffic SSR Web Platform” — scaling SSR + 2M monthly views usually fails at cache invalidation and DB contention before code complexity. I work with Go services where the first step is not feature code but defining concurrency + caching boundaries (goroutines + Redis strategy + DB query isolation). For systems like yours, I’d start by structuring the SSR/API split so render paths are cache-safe and DB calls are batchable under load. Day 1 deliverable: baseline Go service skeleton with Redis caching layer + SSR endpoint pattern + simple profiling hooks so we can immediately identify bottlenecks under simulated traffic. One key decision I’d push early: move repeated SSR data-fetching into a shared caching layer (TTL + stale-while-revalidate) to prevent stampede issues when traffic spikes 10×. Do you currently have any profiling data or is this a greenfield rebuild from the existing system? Looking forward to working with you. Srdjan

@bondoc0526

```text ༺❖༻ Dear Client ༺❖༻ Thanks for posting about my specialist job area. Your required skills perfectly match my experience and work style. I have strong experience developing and customizing Odoo modules, including creating views, forms, reports, and integrating third-party APIs. I’ve worked on long-term ERP projects for e-commerce businesses, handling PostgreSQL databases, Docker deployments, and API integrations with marketplaces such as Shopee and Lazada. For your project, I’ll mirror transactions from your SQL accounting database into Odoo, develop the required API integrations for your e-commerce platforms, and ensure all custom modules run smoothly and efficiently. The system will be maintainable, well-documented, and scalable for future growth. Given the opportunity, I am confident I can deliver high-quality results on time and maintain a long-term partnership. Let’s discuss your timeline, scope, and specific requirements so we’re aligned from the start. Thanks.

@thomasw031

⭕Hi, there⭕ I'm Thomas and what distinguishes me is my deep-rooted understanding of how I can better automate your business processes. In web development, I've been honing my craft for seven years now, with the last five primarily being dedicated to Go - a language purpose-built for scalability under demanding loads like yours. Throughout my career, I have accrued significant experience building high-efficiency backend systems that handle the kind of traffic volumes you’re expecting, achieving scales even 10-100× bigger than your current userbase. My strong command of Go's powerful concurrency model and caching techniques make me particularly suited to your project. In addition, as you note, I've cultivated an analytical mindset which allows me to optimize databases and prioritize systems bottlenecks accurately, a trait necessary for scaling production systems effectively. But what further sets me apart is my genuine appreciation for clean code and testing discipline - both key aspects in ensuring maintenance remains manageable as your system grows exponentially. Lastly, let's not forget the 'real-time' aspect in the bonus requirement which excites me. I’ve worked extensively with SSE and WebSockets and even have experience with newer protocols like QUIC/HTTP-3/WebTransport. Drawing on my previous experience in migrations from Node/Vue to Go SSR architecture, I understand the challenges that come with legacy technology transitions and a Best, Thomas

@letswork92

As a seasoned backend engineer with 12+ years of experience, I understand the critical need for a robust and scalable architecture in your high-traffic SSR web platform. Your goal to enhance performance and maintainability under increasing load is essential in today's fast-paced digital landscape. I have extensive expertise in building Go services that prioritize concurrency management, as well as optimizing databases and caching strategies to ensure smooth scalability. My experience with real-time features using WebSockets aligns perfectly with your requirements, and my familiarity with integrating cleanly into React-based front ends will help maintain a seamless user experience. In a previous project, I identified database latency as the bottleneck affecting system performance; by implementing advanced caching strategies and optimizing queries, we achieved a 60% performance improvement during peak traffic. Could you share more about the specific challenges you've faced so far in scaling this platform? This insight would help tailor an effective solution for your needs.

@rohnitr1

How do you plan to ensure the maintainability and performance of our high-traffic SSR web platform while scaling it to handle 10-100 times the current load? As a senior Golang backend engineer, I bring: - 5+ years of backend experience with a strong focus on idiomatic Go development. - Proven expertise in scaling production systems, optimizing performance, and ensuring observability. - In-depth knowledge of SSR web architecture, REST/GraphQL APIs, relational databases, and Redis. My execution approach involves: - Architecting scalable Go services with a focus on data models, caching, concurrency, and performance. - Establishing patterns and project structures for streamlined development. - Integrating real-time features and ensuring clean, well-tested, and documented code. Let's connect to discuss how I can contribute to your project. Feel free to message me.

@haseebs74

"Hi, Scaling a Go backend from 2M to 200M monthly page views is exactly the kind of engineering challenge I enjoy and have done before. Let me answer your questions directly. A Go codebase I am proud of — I built a high throughput REST API service in Go handling 50,000 requests per minute with full test coverage, clean separation of concerns and documented interfaces throughout. Happy to share the repo on our call. A system I scaled with numbers — I inherited a Node.js backend that was timing out under 800 concurrent users. I rebuilt the core data layer in Go, introduced Redis caching for hot queries, moved expensive aggregations to background workers via queues and added proper DB indexing. Result — response times dropped from 4.2 seconds to under 180ms and the system handled 8,000 concurrent users without breaking a sweat. Real time experience — I have built SSE based notification systems and WebSocket connections for live data feeds. I understand the concurrency patterns Go makes available for this and how to avoid the goroutine leaks and race conditions that kill real time systems at scale. AI assisted development I use Claude Code and Cursor daily. They speed up boilerplate and test writing significantly without touching the architectural decisions that actually matter. Available to start immediately. Rate is $25 to $30 per hour depending on scope. Happy to do a technical call and walk through architecture decisions live.

@hamza50322

With over 5 years of experience as a Backend Developer, I have honed my craft in building performant and scalable web platforms, which aligns perfectly with your project needs. My proficiency in the MERN stack, particularly in React and Node.js, translates well into your requirement for Go-based SSR architecture as I can easily adapt and contribute to enhancing your product's backend. I take pride in the systems I build, ensuring they stay reliable and efficient even amidst ever-increasing traffic. A notable example would be when I optimized a system with bottlenecks using caching mechanisms, which resulted in a 30% reduction in latency and an impressive boost in response time. Additionally, my familiarity with AWS can provide significant value as you expand your infrastructure to accommodate scaling demands. Furthermore, I have real-time feature experience including WebSocket/SSE development, which should prove useful given its importance to your project. In terms of working style, communication is crucial to me and I prioritize transparency and understanding to ensure we remain aligned throughout the project lifecycle. I'm also comfortable taking ownership of my work by owning end-to-end project delivery without compromising on the code quality or performance you desire. If you're searching for someone who delivers practical results and guarantees stability for long-term growth—I am the candidate for you!

@danielp291

✅ I can help with ongoing Windows hardware troubleshooting and remote technical support. I have experience diagnosing: • Boot failures & BSOD issues • RAM/storage faults • Driver & BIOS problems • Peripheral/device connection failures • Overheating & power-related issues • Custom-built and branded PCs/laptops I regularly work with: ⚡ Windows Device Manager ⚡ Event Viewer ⚡ CrystalDiskInfo ⚡ MemTest ⚡ SMART diagnostics ⚡ BIOS/UEFI troubleshooting ⚡ Driver rollback/reinstallation workflows My approach is practical and step-by-step: 1. Identify whether the issue is hardware, driver, firmware, or OS-related 2. Isolate failing components systematically 3. Recommend the safest fix path before replacements 4. Document findings and prevention steps clearly I can assist through: • Remote support sessions • Guided troubleshooting • Written diagnostic reports • Preventive maintenance recommendations I also explain technical issues in simple language so you understand exactly what caused the problem and how to avoid it later. Available for both one-time troubleshooting and long-term on-call support.

@HamparProd

Hi, This role aligns well with the kind of backend systems I enjoy working on: high-throughput architectures, realtime features, SSR-oriented backend design, caching layers, concurrency-heavy workflows, and scalable infrastructure where reliability matters under growth. I’m comfortable with: idiomatic Go, goroutines/channels/context management, Redis caching, relational DB optimization, realtime systems (WebSockets/SSE), API-first architecture, Dockerized environments, and scalable backend design patterns. I’ve also worked on systems involving: performance bottlenecks, async workflows, API-heavy platforms, scalable frontend/backend integration, realtime dashboards, and migration/refactor scenarios where maintainability becomes critical as traffic grows. I work comfortably in AI-assisted workflows using Cursor/Claude-style tooling while still maintaining clean architecture, structured testing, and production-quality engineering standards.

@sara0346

Hello, GoBackend - I am a senior Go engineer. My hourly rate is $8. Code sample link in my profile. I scaled a real-time notification system from 10k to 500k concurrent users by optimizing goroutine pooling, adding Redis caching, and splitting the database. I have built WebSocket and SSE services. I use Claude Code daily for boilerplate and tests. Availability: 40 hours/week, start within 3 days. Two questions: 1) What is your deployment environment (k8s, VM)? 2) Do you have existing load testing data? Regards, Srdjan Njegovan

@waleryk59

❤️ Hi there, This Go backend role is exactly the kind of systems work where clean architecture and scalability decisions matter more than just writing endpoints. Before anything, are you currently facing bottlenecks in SSR rendering, database load, or caching strategy as you scale toward higher traffic? ⭕ I recently worked on a high-traffic backend system where Go services were used to power SSR pages and API-driven content delivery for a growing consumer platform. The system handled caching layers, concurrent request processing, and optimized database queries to reduce latency under heavy load. I worked closely with frontend teams (React-based) to ensure SSR output stayed consistent, fast, and SEO-friendly while backend services scaled horizontally without breaking existing flows. One challenge was eliminating performance degradation during traffic spikes caused by inefficient DB reads and uncoordinated caching. I solved this by introducing structured caching layers, profiling goroutine usage, and redesigning a few hot paths to reduce unnecessary computation and database hits, which significantly improved response stability under load. ⭕ My experience includes working with Go concurrency patterns, Redis-based caching, API optimization, and building systems designed for predictable performance at scale. Looking forward to collaborating on a serious production system. ⭐