Phoenix - Your AI AssistantDocker Projects
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opportunity
Interactive AI Experience – 3D Guide & Custom Image Gen
I am an artist developing a browser-based interactive ritual experience where a 3D speaking character guides participants through a reflective AI-driven dialogue about the future. At the end of the interaction, the system produces: • A symbolic, poetic spoken response • One AI-generated image based on the participant’s clarified vision, rendered in a custom visual style trained on my artwork This is a poetic, immersive digital art experience, not a generic chatbot or commercial tool. Deliverable: A mini website / web module that can be integrated into an existing website (for example, as a subpage or subdirectory). Scope Clarification The generated images will later be shown in a separate digital “wall” project built by another team. This job does NOT include building that wall interface. Your responsibility is to: ✔ Generate the images ✔ Store them with structured metadata ✔ Make them exportable for future integration Technical Constraints (Non-Negotiable) - • Open-source / open-weight AI models only (LLM, image generation, TTS, STT) • Self-hosted deployment on my infrastructure (Hetzner servers) • No proprietary AI APIs Core User Experience Flow - - Short conceptual intro animation - 3D character appears and speaks, introducing the ritual - User selects one of five thematic prompts - User shares a vision (text input; voice input optional bonus) - AI-guided dialogue (2–4 turns) to clarify the scenario - Final symbolic spoken response from the character - One AI-generated image created from the clarified vision - Session data saved for archive and future visual display Technical Requirements - Frontend (Mini Website) • Immersive but lightweight interface • Smooth transitions between stages • Audio playback (music + character voice) • Responsive design (desktop + mobile) • Built using React / Next.js or similar 3D Speaking Character - • WebGL / Three.js / A-Frame (or similar) • Rigged character model (provided) • Idle animation • Speaking animation synced to audio (lip sync preferred, amplitude-based acceptable for MVP) AI Dialogue System (Open-Source LLM) - • Self-hosted open-weight model • Multi-turn conversation handling • Structured prompting system • Outputs: – follow-up prompts – final poetic response – structured summary for image generation Voice System (Open-Source TTS) - • Open-source text-to-speech hosted on server • Audio drives speaking animation Custom Style Image Generation - The generated image must consistently match a custom artistic visual language based on my artwork. Prompting alone is not enough. You must implement: Preferred: LoRA training using my artwork dataset Alternative: Style adapter / reference conditioning Requirements: • One image per session • Seed reproducibility • Style strength control • Save prompt + generation parameters Backend & Storage Store for each session: • Selected prompt theme • Dialogue transcript • Final spoken response • Scenario summary • Image prompt + parameters • Generated image file • Timestamp Admin Panel Simple password-protected page to: • View sessions • Download text and images Deployment Requirements • Linux deployment on Hetzner • Docker / Docker Compose preferred • Documentation for: – setup – model downloads – environment variables – running services – updating style model Project Timeline Total duration: 2 months Skills Required • Web 3D (Three.js / A-Frame / WebGL) • Experience integrating animated 3D characters in the browser • Experience serving open-source LLMs • Diffusion model LoRA or adapter training • Backend/API development • Docker + Linux deployment How to Apply Please include: 2–3 relevant projects (AI apps, WebGL/WebXR, or interactive experiences) Proposed tech stack (frontend, backend, model serving) Which open models you would use (LLM, diffusion, TTS) and why Recommended server setup (GPU/VRAM) for acceptable performance Screening Questions How would you sync speech audio to a 3D character animation in the browser? Which open-weight LLM would you deploy and how would you serve it? How would you train and deploy a custom style LoRA for image generation? What server setup would you recommend and why?
Senior Software Engineer - Long Term Collaboration
This is Long Term collaboration in Software Development Looking for an experienced Senior Software Engineer Collaborators who can design, build, and maintain scalable software systems based on United States. You will play a key role in technical decision-making, system architecture, and mentoring junior engineers while collaborating closely with product, design, and infrastructure teams. Key Responsibilities - Design, develop, and maintain scalable and reliable software applications. - Lead technical design discussions and contribute to system architecture decisions. - Write clean, maintainable, and well-tested code. - Review code and mentor junior and mid-level engineers. - Collaborate with cross-functional teams to deliver high-quality products. - Troubleshoot production issues and optimize system performance. - Contribute to continuous improvement of development processes and best practices. Required Qualifications - Strong software engineering experience in modern development environments - Proficiency in at least one major programming language (e.g., JavaScript, Python, Go, Java, or similar) - Strong understanding of system design, APIs, and distributed systems - Experience with cloud platforms (AWS, GCP, or Azure) - Solid understanding of databases (SQL and/or NoSQL) - Experience with CI/CD pipelines and version control systems (Git) - Strong problem-solving and communication skills Nice to Have - Experience working in high-growth startups or product-focused companies - Experience with microservices architecture - Knowledge of containerization (Docker, Kubernetes) - Exposure to blockchain or Web3 technologies (optional but a plus) What We Offer - Competitive compensation - Flexible work environment - Opportunity to work on impactful and innovative products - Career growth and leadership opportunities Location US Remote
AI/ML Engineer (Python, AWS/Azure) – EST/CST Time Zone
Job Description We are looking for a **mid-level AI/ML Engineer** with **strong English communication skills** and **2–3 years of hands-on AI/ML experience**. This role requires close collaboration with stakeholders, so **clear communication is critical**. Responsibilities - Design, build, and deploy **AI/ML models** using **Python** - Develop and maintain **ML pipelines** (training, inference, monitoring) - Work with **AWS or Azure** services for deployment and scaling - Collaborate with cross-functional teams in **EST/CST time zones** - Clearly explain technical ideas to non-technical stakeholders Required Qualifications - **2–3 years of real AI/ML experience** - Strong **Python** skills (NumPy, Pandas, scikit-learn, PyTorch/TensorFlow) - Experience with **AWS or Azure** (SageMaker, EC2, Lambda, Azure ML, etc.) - **Excellent English communication skills - Able to work **fully aligned with EST/CST working hours** Nice to Have - Experience with **LLMs / GenAI** - MLOps tools (MLflow, Airflow, Docker) - APIs using FastAPI or Flask Work Details - Remote - Full-time or Contract (your choice) - Must be available during **EST/CST business hours**
opportunity
MERN Developer
We are looking for a senior developer to help us finalise and consolidate a number of projects which are 75% complete. We expect this to be an ongoing, monthly paid role and so the budget is on that basis. We have a legacy system that, whilst functional, is outdated and needs the functionality migrating/replicating in our new environment. The work will include refactoring, adding routes and connecting multiple interfaces to complete the job. You will need to have an understanding of complex data structures to ensure that migration and CRUD functionality is accurate to serve various interactions of the project. Lastly, the platform has a companion application that is built and compiled in EXPO. This will need attaching to the new migration, rebuilding and deploying to the stores appropriately. Therefore the following experience is necessary **Key Responsibilities:** - Develop new features and enhance existing functionality for our directory website using the MERN stack (MongoDB, Express.js, React.js, Node.js, Next.js). - Utilise trunk-based development practices to ensure smooth and timely integration of code into the main branch. - Work collaboratively with other developers to resolve conflicts and merge changes efficiently. - Perform regular performance and bug-fixing tasks to ensure optimal website performance. - Write clean, maintainable, and efficient code, following best practices and industry standards. - Participate in code reviews to maintain code quality and provide constructive feedback. - Continuously improve and upgrade the software to keep up with the latest advancements in technology. **Required Skills and Experience:** - Proven experience as a MERN Stack Developer. - Strong understanding of trunk-based development and its best practices. - Prior experience working in an agile environment with regular sprints. - Proficiency in MongoDB, Express.js, React.js, and Node.js. - MUST MUST be proficient with Docker and build architectures. - Familiarity with version control systems, particularly Github and Github Actions. - Excellent problem-solving skills and attention to detail. - Strong communication skills and the ability to work collaboratively in a team environment. - Ability to manage multiple tasks and deadlines effectively. **Nice to Have:** - Experience with DevOps practices and tools. - Knowledge of serverless architecture and cloud platforms. - Familiarity with continuous integration and continuous deployment (CI/CD) pipelines. - Typescript experience. If you're after a easy going developer role where there's more work then we can get through then please let me know. No agencies and please only apply if you're used to throwing code out from ticket reference branches - we want to be pushing/building multiple times a day in some situations. Please please please do not apply if you're a junior or mid dev - this requires an individual to undergo a steep learning curve and drive the migration to finalisation. Also - the individual needs to work on the project full time until complete - this is not something that can be done in an hour a day.
Past "Docker" Projects
Remote Backend Developer (Node.js or Python)
We are seeking a proficient and dependable Remote Backend Developer with expertise in either Node.js or Python to bolster our expanding engineering team on a contract basis. Candidates from Latin America or Europe are preferred. The ideal applicant will possess a strong command of English, with a demonstrated ability to construct scalable APIs and backend systems. Familiarity with technologies such as PostgreSQL, MySQL, Docker, and cloud platforms like AWS or GCP is essential. Responsibilities include developing and maintaining backend services, collaborating with frontend teams, and ensuring code quality through reviews. If you are passionate about clean coding and remote work, we invite you to apply.
Java Develper Spring Boot & Microservice Developer
Java Spring Boot Developer (Micro services) – 3+ Years Experience We are looking for an experienced Java Developer (Spring Boot) with strong hands-on expertise in microservices-based development and deployment. The ideal candidate should be able to design, develop, integrate, and deploy scalable micro services in a production environment. Key Responsibilities Develop and maintain microservices using Java, Spring Boot, Spring Cloud. Implement RESTful APIs, integrations, and backend business logic. Work with MySQL/PostgreSQL, JPA/Hibernate, caching & messaging queues. Manage deployments on AWS / Docker / Kubernetes (any cloud experience preferred). Optimize system performance, troubleshoot issues, and ensure high availability. Collaborate with team to deliver clean, efficient, and well-documented code. Requirements 3+ years of experience in Java & Spring Boot. Strong understanding of Microservices architecture. Experience in API development, CI/CD pipelines, Docker, Git. Ability to work independently with minimal supervision. Good communication and problem-solving skills. Project Type Ongoing development & enhancements Freelance / remote work with flexible timing
Web services
-2 Web servers (Apache or NGINX) -With their respective CMS (Wordpress, Prestashop, Magento...) -And its Load Balancer And evolve this solution for deployment in Kubernetes. A Cloud provider like AWS can be used to deploy the application. (AWS account will be provided) This application will evolve as you progress through the course: Build Dockerfiles for each application component Deploy this application in a test environment and make sure it works. Simple unit tests can be created to ensure this. Orchestrate these containers via Kubernetes Automate deployment and changes via a pipeline (Codepipeline, GitHub Actions, GitLab CI, Jenkins...) Create IaC (Infrastructure As Code) templates for automated infrastructure deployment Deploying the solution in production https://github.com/DataScientest/wordpress-docker-compose-stack
AI Voice Bot Backend - Python + Twilio + Gemini (7 Days)
We're building an AI voice receptionist for Australian dental clinics. WHAT YOU BUILD: ✓ Voice call handler (Twilio Media Streams) ✓ Speech pipeline (Whisper STT + Gemini LLM + Azure TTS) ✓ SMS confirmations (Cellcast API) ✓ PostgreSQL + Redis backend WE PROVIDE: ✓ Ubuntu 22.04 VPS (Sydney, 8 vCPU, 12GB RAM) ✓ All API credentials preconfigured ✓ .env.testing ready ✓ SSH access ✓ Full technical specs YOU DELIVER: ✓ Complete working system ✓ Docker image (docker save) ✓ GitHub repo (clean code) ✓ docker-compose.yml ✓ README with deployment ✓ Mid-point demo (Loom video - Nov 9 6pm AEST) STACK: Python | FastAPI/Flask | Twilio | Whisper | Vertex AI | Azure Speech | Cellcast SMS | PostgreSQL | Redis | Docker TIMELINE: Start: Nov 5 | Mid-demo: Nov 9 6pm AEST | Final: Nov 12 11:59pm AEST REQUIREMENTS: ✓ Python development experience ✓ AI/ML API integration knowledge ✓ Docker basic proficiency ✓ 40-50 hours commitment (7 days) BUDGET: $700 USD (Fixed) PAYMENT: 50% upfront / 50% on delivery BONUS: +$150 if delivered Nov 10 11:59pm (48h early) + all tests pass ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ TO APPLY: Start with: "VOICE-BOT-AU" Share 1 similar project Answer: Experience with Vertex AI Gemini? Estimated hours breakdown Generic proposals won't be reviewed. Ready? Apply now!
Full Stack Developer (React + Node.js + AI/ML Experience)
We are hiring a Full Stack Developer with strong hands-on experience in React (Frontend), Node.js (Backend), and AI/ML development. The candidate must have worked on AI APIs, model integration, and machine-learning–based application development. Key Responsibilities: Develop responsive UI using React.js, Redux/Context API Build and maintain Node.js/Express backend services Design and integrate REST APIs Implement and integrate AI/ML models, LLM APIs, NLP workflows Work with databases (MongoDB / MySQL / PostgreSQL) Deploy AI-driven applications on AWS / GCP / Azure Troubleshoot, debug, and optimize performance Collaborate with Product, UI/UX, QA teams Must-Have Skills React.js, JavaScript (ES6+), HTML/CSS Node.js, Express.js AI/ML development (TensorFlow / PyTorch / Scikit-learn) AI API integration (OpenAI, Gemini, Claude, HuggingFace, etc.) REST API architecture & JSON Database knowledge (MongoDB/MySQL/PostgreSQL) Git, Docker (basic) Good to Have Experience with vector databases (Pinecone, Weaviate, FAISS) Knowledge of RAG pipelines / embeddings Cloud deployment (AWS/GCP/Azure) Microservices architecture Project will be discussed with the selected candidate after an Interview. Thank you Ashish
opportunity
Django + React dev to finish travel website
We have an almost-finished platform called GoAmico — a hospitality booking + verified review system for restaurants/hotels. The project is about 80% done and already running on a Hostinger VPS (Ubuntu, Docker Compose). We now need a senior developer to finalize remaining features, fix logic gaps, and make the platform fully production-ready. Tech Stack Backend: Django + DRF, PostgreSQL, Redis Frontend: React / Next.js Infra: Docker Compose (backend, frontend, nginx, redis, db), NGINX reverse proxy Design: Figma (UI direction provided – you only implement, not design) ✅ Scope of Work 1. Verified Review System (Receipts + AI/OCR) Every public review must be tied to: a real booking, and/or an uploaded restaurant bill/receipt. Flow we want: Guest completes visit → uploads receipt + writes review System runs AI/OCR to check merchant name, date, amount Status becomes Verified / Pending / Rejected / Flagged Owners/Admin can verify, reject, or flag reviews with a reason Public reviews show a Verified by Receipt badge Only 1 review per visit allowed (If you have a preferred OCR/AI approach, please recommend.) 2. Calendar & Booking Logic Fix/complete the venue booking system: Owners can create/edit/delete availability slots Define slot/day capacity Proper backend logic: disable booking when full prevent double-booking using DB transaction locks / Redis maintain consistent booking states (requested → confirmed → attended → cancelled) User side must: Show only real availability Disable fully booked slots Allow reviews only after a completed visit 3. Stripe Payments (LIVE) Finish integrating Stripe in live mode: Successful payment = confirmed booking Update DB booking state accordingly Handle all error cases (payment failed, slot no longer available, etc.) Show proper success/failure messages on frontend 4. QA & Bug Fixing We have 3 internal test reports with concrete issues (bookings, reviews, UI, dashboard). You must: Fix all major issues Clean broken UI elements, links, and API mismatches Ensure all main flows work end-to-end 5. Frontend Polish (Based on Figma) Implement the new landing direction (not final but clear style). Improve: Typography, spacing, responsiveness Owner & user dashboards Add Featured Venue / Ad Slot module to homepage (Figma will be shared.) 6. Deployment, Docker & Documentation Work with existing multi-container Docker setup: Ensure reproducible builds Clean error logging Preferably create a staging workflow mirroring production Provide simple documentation: .env variables Build/deploy steps Rollback procedure Short technical notes for future devs ⏱️ Timeline Approx. 2–4 weeks including testing.
opportunity
Reliable DevOps Engineer Needed
I’m looking for an experienced DevOps / Backend Engineer to set up and configure a self-hosted Supabase instance on my Ubuntu VPS. Docker is already installed, but it should be verified and properly configured. The goal is a secure, production-ready Supabase stack running locally (Postgres, Auth, REST, Realtime, Storage, Kong Gateway, and optional Studio), behind an HTTPS reverse proxy with automatic backups and full documentation. Scope of Work Docker & Environment Setup Verify existing Docker installation (version, permissions, network stability). Create dedicated Docker network (supabase_net). Prepare directory structure under /opt/supabase/. Supabase Stack Installation Deploy Supabase components using Docker Compose: Postgres GoTrue (Auth) PostgREST (REST API) Realtime Storage API Kong Gateway (Optional) Supabase Studio Configure .env and docker-compose.yml following best practices: No public database ports. All services communicate over internal Docker network. Security & Networking Set up Nginx reverse proxy for HTTPS with Let’s Encrypt certificates. Configure UFW firewall (only ports 22, 80, 443 open). Add security headers and enforce HTTPS redirects. Keep all credentials and secrets outside version control. Backups & Monitoring Implement automated daily PostgreSQL backups (with 30-day retention). Include a tested restore script. Add basic monitoring and health checks (Docker health, HTTP status). (Optional) S3-compatible offsite backup upload. Testing & Validation Verify user sign-up, login, and password reset via GoTrue (SMTP). Confirm REST endpoints respond via HTTPS. Validate Storage uploads/downloads. Test Realtime subscriptions. Run at least 3 negative RLS access tests. Documentation Provide a short runbook (README) including: Install, deploy, and rollback steps. Backup and restore instructions. Secrets handling. Service management commands. Include .env.example with comments. Deliverables Fully running self-hosted Supabase stack on Ubuntu VPS. docker-compose.yml, .env.example, and Nginx config files. Verified TLS certificate (Let’s Encrypt) and working HTTPS. Working Auth, REST, Storage, and Realtime endpoints. Automated daily database backup + successful restore test. Clean and concise documentation/runbook. Technical Environment Ubuntu 22.04 LTS Docker & Docker Compose v2 Nginx with Let’s Encrypt Domain & DNS already configured SSH access available Acceptance Criteria HTTPS active, A-grade SSL config, forced redirect HTTP→HTTPS PostgreSQL not publicly accessible Auth, REST, Storage, and Realtime endpoints all operational Backups run daily; restore script verified Logs rotate properly, disk usage monitored Only ports 22/80/443 open (UFW enabled) Documentation and .env.example delivered No hardcoded secrets in any file under version control Timeline & Deliverables Estimated workload: 1–2 working days setup, +1 day for testing and documentation. Deliverables pushed via Git repository and deployed on my VPS. Required Skills Docker & Docker Compose (production environments) Supabase or similar stacks (Postgres, GoTrue, Kong, Realtime) Linux server administration (Ubuntu) Nginx + Let’s Encrypt TLS setup Bash scripting (for backup/restore) PostgreSQL and basic SQL/RLS understanding Additional Notes Docker is already running but needs verification. Domain and DNS are fully configured. No Supabase cloud integration — this must be 100% self-hosted. Open to small improvements if you can make the setup more robust or secure. ⚠️ Reliability Disclaimer Only apply if you agree to the fixed budget and milestone structure. Any attempt to renegotiate price or terms after acceptance will be reported to PeoplePerHour as a reliability issue. Serious professionals only, let’s keep things efficient and transparent.
opportunity
DevOps Engineer Needed: Self-Host Supabase on Ubuntu VPS
Project Summary I’m looking for an experienced DevOps / Backend Engineer to set up and configure a self-hosted Supabase instance on my Ubuntu VPS. Docker is already installed, but it should be verified and properly configured. The goal is a secure, production-ready Supabase stack running locally (Postgres, Auth, REST, Realtime, Storage, Kong Gateway, and optional Studio), behind an HTTPS reverse proxy with automatic backups and full documentation. Scope of Work Docker & Environment Setup Verify existing Docker installation (version, permissions, network stability). Create dedicated Docker network (supabase_net). Prepare directory structure under /opt/supabase/. Supabase Stack Installation Deploy Supabase components using Docker Compose: Postgres GoTrue (Auth) PostgREST (REST API) Realtime Storage API Kong Gateway (Optional) Supabase Studio Configure .env and docker-compose.yml following best practices: No public database ports. All services communicate over internal Docker network. Security & Networking Set up Nginx reverse proxy for HTTPS with Let’s Encrypt certificates. Configure UFW firewall (only ports 22, 80, 443 open). Add security headers and enforce HTTPS redirects. Keep all credentials and secrets outside version control. Backups & Monitoring Implement automated daily PostgreSQL backups (with 30-day retention). Include a tested restore script. Add basic monitoring and health checks (Docker health, HTTP status). (Optional) S3-compatible offsite backup upload. Testing & Validation Verify user sign-up, login, and password reset via GoTrue (SMTP). Confirm REST endpoints respond via HTTPS. Validate Storage uploads/downloads. Test Realtime subscriptions. Run at least 3 negative RLS access tests. Documentation Provide a short runbook (README) including: Install, deploy, and rollback steps. Backup and restore instructions. Secrets handling. Service management commands. Include .env.example with comments. Deliverables Fully running self-hosted Supabase stack on Ubuntu VPS. docker-compose.yml, .env.example, and Nginx config files. Verified TLS certificate (Let’s Encrypt) and working HTTPS. Working Auth, REST, Storage, and Realtime endpoints. Automated daily database backup + successful restore test. Clean and concise documentation/runbook. Technical Environment Ubuntu 22.04 LTS Docker & Docker Compose v2 Nginx with Let’s Encrypt Domain & DNS already configured SSH access available Acceptance Criteria HTTPS active, A-grade SSL config, forced redirect HTTP→HTTPS PostgreSQL not publicly accessible Auth, REST, Storage, and Realtime endpoints all operational Backups run daily; restore script verified Logs rotate properly, disk usage monitored Only ports 22/80/443 open (UFW enabled) Documentation and .env.example delivered No hardcoded secrets in any file under version control Timeline & Deliverables Estimated workload: 1–2 working days setup, +1 day for testing and documentation. Deliverables pushed via Git repository and deployed on my VPS. Required Skills Docker & Docker Compose (production environments) Supabase or similar stacks (Postgres, GoTrue, Kong, Realtime) Linux server administration (Ubuntu) Nginx + Let’s Encrypt TLS setup Bash scripting (for backup/restore) PostgreSQL and basic SQL/RLS understanding Additional Notes Docker is already running but needs verification. Domain and DNS are fully configured. No Supabase cloud integration — this must be 100% self-hosted. Open to small improvements if you can make the setup more robust or secure.
Server Guy / AI Engineer (Must Be a Real Killer)
We’re building a big platform and we need a hands-on engineer, not a middle-man, not an agency clown. If you can’t execute fast, don’t apply. Must know: • Twilio (SMS/Voice/A2P) • WhatsApp API • OpenAI / Claude • Server setup, Docker, Linux • Messaging pipelines • Clean API work • Real security + logging Your job: Set up our server, wire the APIs, get the whole thing talking clean and fast. We’re NOT looking for: People who say “my employee can do it.” Slow responders. Theory guys. Middle-men. We ARE looking for: A real engineer who can start this week and take ownership. To apply, send: Your experience Links to similar work Your rate Confirmation YOU personally do the work We’re hiring ASAP. Don’t waste our time.
Cloud Architect / Platform Engineer / CI/CD Pipelines
Developing an exciting new digital product for media agencies. I'm looking for help with optimising the CI/CD pipelines, hardening the security and stability of the platform. I need help with looking into and implementing best practices and setting up the platform for live operations and seamless software releases, monitoring and alerting, etc. We've got docker based deployment with cloudflare and digital ocean. Need help with cloud infrastructure setup, devops ci/cd pipeline setup and optimisation.
UVDesk Helpdesk Setup & Customization
I need UVDesk installed, configured, and ready for daily use on my server integrated with emails (Microsoft Office 365) so incoming messages automatically generate tickets. You’re free to recommend the cleanest way to host UVDesk (Docker and or direct or LAMP stack, etc.) as long as the final result is secure, documented, and simple for me to maintain. As the hsoted server is on prem and credentials cannot be shared so whole process will be done with a shared screen.
AI + LMS Platform Developer
AI + LMS Platform Developer (Ollama, n8n, Moodle, Qdrant, Keycloak, Docker Setup) We are building a GDPR-compliant AI + LMS platform for accountants under the new brand — combining artificial intelligence, workflow automation, and training systems into one secure, scalable solution. Project Scope: 1. Installation & Configuration • Set up Ubuntu Server (local/on-prem) • Deploy Docker containers for: • Moodle (LMS) • n8n (Automation) • Ollama (AI model runner) • Qdrant (Vector database) • Keycloak (Authentication) • Traefik / WireGuard (Security) This is not a learning management development. This is an AI agent development for an accountant.
Senior Backend / Automation Control Plane Engineer (Java/Spring)
We’re building an Automation Control Plane that runs large-scale, cross-platform activity across multiple channels – tens of thousands of identities executing coordinated, daily actions from both Android emulators and headless browsers. The core backend already exists in Java/Spring Boot; your job is to turn it into a clean, scalable “one brain, many workers” platform and get it running in production fast. Today, we have a substantial Spring Boot application that knows about devices, sessions, users, and execution requests, plus a full suite of workflows (for one platform) automated via Appium. That code was originally written to drive physical Android phones in a device farm. We’re now moving to Android emulators on Ubuntu servers and need to stabilize and finish the existing backend so those flows run reliably on a VM-based farm. Your primary responsibility is to own this backend as the control plane. You’ll extend the current models (ExecutionRequest/History, Session, Device, etc.) to support multiple worker types, introduce a clean WorkerType/ApplicationType/TaskType model, and design simple job APIs so different worker pools can pull work and report results. In practice, that means adding a generic job/worker abstraction on top of what’s already there, not rewriting from scratch: the Spring app remains the single orchestrator, and emulator and headless services become pluggable executors behind it. From there, you’ll implement and integrate the first headless worker service – likely using Playwright or a similar framework. This worker will fetch jobs from the control plane, run automated interaction and content workflows (e.g. posting, engagement, scripted journeys) for specific accounts, and push results back into the same execution history the emulator jobs use. You’ll also help wire in the initial CRM/funnel logic so multi-step outreach sequences can be expressed as data and emitted as jobs to the right worker type, respecting per-account limits and anti-detection constraints. In parallel, you’ll help design the foundations of an AI-driven video pipeline that turns long-form source material into high-volume short-form assets. You won’t be training models from scratch, but you will be responsible for integrating with external AI services (for script generation, voiceover text, captioning, clip selection, etc.), defining the data contracts, and wiring the output back into the control plane as structured jobs. The goal is to treat “generate clips + copy + metadata for distribution” as just another worker pipeline the orchestrator can schedule, monitor, and feed into the posting and engagement workflows. We’re looking for someone who is very strong in Java and Spring Boot, comfortable taking over and refactoring an existing backend, and experienced with distributed job/worker systems (job tables, status, retries, idempotency, simple REST or queue-based dispatch). You should be fluent with relational databases, REST API design, and running services on Linux (Ubuntu), and at least conversant with containerization (Docker, Kubernetes or similar). Hands-on familiarity with UI automation tools (Appium, Selenium, Playwright, Puppeteer, etc.) is important: you don’t have to be a career QA engineer, but you should understand the realities of flakiness, selectors, waits, and running many parallel sessions. It’s a big plus if you’ve worked on high-scale marketing or growth automation, anti-detection/device farms, or CRM/funnel engines that coordinate multi-touch sequences over time. This role suits someone who enjoys taking a messy but valuable codebase, truly understanding it, and turning it into a coherent platform with clear contracts and extensible architecture. You’ll be expected to think in terms of control planes, worker pools, and future expansion (new platforms, new worker types) while still delivering quickly on immediate milestones. If owning the brain of a real-world, high-volume automation platform sounds exciting, and you’re confident in your ability to drive a Java/Spring control plane from “partially built” to “running real campaigns,” we’d like to talk. Send a brief overview of your most relevant backend/platform work (especially job/worker systems or automation platforms), links to repos or case studies if you have them, and a short note on how you’d approach the first 4–6 weeks in this role.
opportunity
YourHippo LMS
Commercial criteria - NO AI responses please !!!!!!!!!!!! 1. Must speak English 2. Must not be an agent 3. Must work UK hours 4. Must be able to work full time 5. Please post your expected hourly rate in the message back 6. Must be able to send CV We are a UK-based tech company delivering a modern Learning Management System (LMS) and high-quality e-learning content tailored for the care sector. Our platform helps care providers improve compliance, streamline training, and empower staff through simple, effective digital learning. We are looking for an experienced Full-Stack Developer (4+ years) to help us continue building and enhancing our LMS platform using Laravel, MySQL, and modern web technologies. ________________________________________ About the Role This role is perfect for a developer who enjoys working across the full stack—from backend logic and integrations to clean, intuitive user interfaces. You’ll be designing and building new features, improving existing functionality, contributing to architecture decisions, and helping shape the future of our platform. You’ll work directly with our product, technical, and customer teams to deliver a reliable, secure, and scalable LMS used daily by organisations across the care sector. ________________________________________ Key Responsibilities • Develop new features and improvements in Laravel with clean, maintainable code. • Work across the full stack, including backend, frontend, databases, and APIs. • Build secure, scalable, and optimised solutions that support high volumes of learners. • Maintain and refine database structures using MySQL (including migrations, indexing, optimisation, etc.). • Implement responsive frontend components using Blade, Vue, React, or similar frameworks (depending on stack). • Integrate third-party APIs and build internal RESTful endpoints. • Contribute to architectural decisions and technical planning. • Monitor performance, troubleshoot issues, and contribute to ongoing platform stability. • Collaborate with the product team to translate requirements into practical solutions. • Participate in code reviews and maintain high coding standards. ________________________________________ Skills & Experience Essential: • Strong experience with Laravel (or similar modern PHP frameworks). • Solid understanding of MySQL, including optimisation and relational database design. • Good frontend development skills (Blade, Vue, React or similar). • Experience with version control (Git). • Strong understanding of API development, authentication, and web security best practices. • Ability to write clean, scalable, well-documented code. • Strong problem-solving skills and the ability to break down complex requirements. • Experience working in an agile environment or similar collaborative workflow. Desirable: • 4+ years professional experience as a Full-Stack or Backend Developer. • Experience working on SaaS products or LMS platforms. • Knowledge of queues, workers, and asynchronous processing (e.g., Laravel Queues). • Experience with server management, Linux, or cloud hosting (AWS, DigitalOcean, etc.). • Familiarity with Docker, CI/CD pipelines, or automated testing. • Understanding of UX principles or design best practices. ________________________________________ Who We’re Looking For • A capable, confident developer who enjoys owning features end-to-end. • Someone who takes pride in writing clean, scalable code. • A fast learner who enjoys working with modern tools and technologies. • A proactive problem-solver who loves improving how things work. • A collaborative team member who communicates clearly and contributes ideas. • Someone who thrives in a growing tech business where their work will have a real impact. ________________________________________ What We Offer • The chance to work on a meaningful, mission-driven product in a growing sector. • Opportunities to expand your role into architecture, DevOps, leadership, or product. • A supportive team, autonomy in your work, and room to innovate. • Full overview and onboarding into our platform, workflows, and development practices.
N8n Automation Engineering Project – For Registered Companies
We are seeking a reputable automation engineering company to develop and deploy automation workflows using n8n. The project involves connecting accounting platforms, CRM systems, and internal APIs into a seamless automation layer that supports our AI-driven accounting operations. This project is not for individual freelancers — only established firms or verified agencies with prior automation experience will be considered. Responsibilities: • Design and implement automated workflows using n8n (self-hosted). • Integrate systems like Xero, Sage, QuickBooks, Google Workspace, and other APIs. • Automate accounting tasks: VAT, payroll, client queries, and document flow. • Provide robust error handling, testing, and documentation. • Deliver a secure, scalable, and maintainable automation environment. Requirements: Proven experience in n8n automation and API integrations. Company or agency with a registered business profile. Technical expertise in Node.js, Docker, and workflow automation. Strong understanding of data protection and GDPR. Ability to provide end-to-end delivery and ongoing support. Deliverables: • Complete n8n workflow setup (self-hosted). • Integration documentation and handover manual. How to Apply: Please include the following: 1. Company profile and registration details. 2. Portfolio or previous automation projects. 3. Approach, estimated duration, and budget range. 4. Technical team information. ⸻ Note: ⚠️ Only companies and agencies will be shortlisted. ⚠️ Individual freelancers, please do not apply.
Full-Time React/Next Developer for Ongoing Projects
We are seeking a proficient React/Next developer for ongoing SaaS projects. The ideal candidate will exhibit a comprehensive understanding of GitHub Actions and Docker, along with expertise in microservices architecture and third-party service integration. You will work with diverse services, including LLMs, SMS/CALL providers, AWS, Stripe, Clerk, and transcription services. Daily updates and commits are essential to maintain consistent progress and collaboration. This is a remarkable opportunity to engage in dynamic projects that demand technical acumen and strong communication skills. Join us to foster innovation and deliver outstanding results. The ability to meet deadlines, overcome problems that can't be Googled or GPT'd is a must as we work in new product development. Sometimes there is no hard specification and we are expected to build using gut feeling in order to deploy rapid prototypes and working concepts. My preference is to have a native English speaker in a timezone close to BST.