We are seeking a senior Python developer with strong communication skills to lead our team. The ideal candidate will have extensive experience in Python development, particularly with Django and Scrapy, and be able to effectively collaborate with team members and clients. Responsibilities include developing and maintaining Python applications, ensuring high-quality code, and providing technical guidance to junior developers.

Python backend developer wanted to join our team. You will help build backend systems, APIs, databases, and data workflows. Experience with Python, PostgreSQL, FastAPI/Django, and data processing is preferred. We need someone who can work independently and communicate clearly. Long-term remote opportunity for the right developer.

Slackbot Developer (API Integration, Single Sign-On) We’re looking for an experienced developer to build a custom Slackbot that integrates with our existing APIs. This application will run as a small Python app on Heroku, hosted by Qwoted. The goal is to create a seamless, user-friendly bot that authenticates via Single Sign-On, can interact with our platform, retrieve data, and trigger actions directly within Slack. This is a freelance project with potential for ongoing work as we expand functionality. What You’ll Do Design and develop a Slackbot using Slack’s APIs (Events API, Web API, or Bolt framework) Integrate our existing REST APIs into the bot Build structured workflows (buttons, forms, popups) Ensure secure authentication and handling of API requests Test, deploy, and document the solution Collaborate with our team to refine use cases and user experience Key Features We’re Looking For Ability to trigger actions via Slack (e.g., commands, buttons) Pull and display data from our APIs in a clean, readable format Handle user authentication Scalable structure so we can add features over time Requirements Proven experience building Slack apps/bots Experience connecting outside logins into an existing system a prominent requirement: single sign-on, automatic account creation Strong experience with API integrations (REST/JSON) Experienced in Python Familiarity with Slack Bolt framework (preferred) Understanding of authentication methods (OAuth, API keys, etc.) Ability to write clean, maintainable, and well-documented code Project Details Project Type: Freelance / Contract Duration: Short-term (with potential extension) Start: ASAP To Apply Please include: Examples of Slackbots or similar integrations you’ve built Brief description of your approach to this project Estimated timeline and cost

**Project Overview:** I am looking for an expert developer to build a lightweight desktop stock ticker application (Windows/macOS preferred) where the MAIN focus is high-utility, fully customizable AUDIBLE alerts. I want to monitor the markets by ear without constantly staring at my screen. The app will feature a customizable "Quote Builder" layout running on fast user-defined refresh loops, but the sound engine is the absolute priority of this project. **Core Audio Requirements (The Main Point):** * Event-Driven Sound Profiles: I need to assign distinct, custom text-to-speech (TTS) speeds, pitches, or triggers based on user-defined price movements. * Directional Audio Logic: Distinctly different tone pitches or speech profiles for "Up" ticks versus "Down" ticks so I can instantly hear market direction. * Speech Profiles: A drop-down menu to toggle between "Standard Mode" (reads full labels: "Tesla 100, up 2, bid 99...") and "Pro Mode" (strips all labels for high-speed tracking: "TSLA, 100, up 2, 99..."). * Global Panic Mute: Hitting the Spacebar or a dedicated hotkey must instantly mute/unmute all active audio feedback immediately. * API Key Settings & Data Feeds: The app must use a "Bring Your Own Data Feed" architecture. It must feature a configuration settings screen where users input their personal, API credentials (keys and tokens) to feed data into the ticker. * Brokerage Dropdown Selector: The UI must include a simple drop-down menu allowing users to choose which data provider or brokerage connection to activate (e.g., [Dropdown: Alpaca Markets, Polygon.io, Interactive Brokers, Yahoo Finance]). The developer must build modular data adapters for these connections. **Data & Interface Requirements:** * Custom Quote Builder: Ability to save layout templates choosing from fields like Symbol, Last Price, Up/Down, Bid/Ask Size, Day High/Low, Open, and Close. * Fast Polling Loops: Drop-down selector for data intervals per ticker: 1 second, 5 seconds, 30 seconds, 1 minute, or 5 minutes. * Multi-Monitor Support: Global hotkeys to switch saved templates instantly without needing the app window to be in active focus. * Ticker Looping: Supports inputting a single ticker or a comma-separated list to cycle through multiple stocks on the interval loop. **Budget & Contract Setup:** * Contract Type: Fixed-Price * Total Project Budget: $3,000 (To be broken into milestones upon signing an NDA) ⚠️ CRITICAL: You must start the very first word of your cover letter/proposal with the word "TICKER" to prove you are a human and not an automated bot. If your proposal does not start with the word "TICKER", it will be instantly declined without review. Please reply by explaining your experience with asynchronous programming, audio-based desktop systems, or handling high-speed financial APIs (like Alpaca or Polygon.io). Selected candidates will be asked to sign an NDA before receiving the full requirements document.

We are building an early-stage real estate data platform that collects, cleans, enriches, and serves public-record and legal-notice data for real estate investors and professionals. This is not a greenfield build. We already have an existing backend repo with API routes, database models, migrations, scraping workers, tests, Docker configuration, and cloud deployment pieces. We need a strong backend engineer who can step into the existing system, understand what is working, identify what is risky, and help us get the backend stable enough for launch. The right person is practical, scrappy, and comfortable working in a startup environment where the goal is not perfection. The goal is to find the highest-leverage path to a reliable product. The platform involves: -Public-record and legal-notice data -Property data enrichment -API endpoints used by a frontend application -Data quality, reliability, and launch-readiness Current Backend Stack The backend is built primarily in Python and includes: -FastAPI -SQLAlchemy and Alembic -Postgres / Google Cloud SQL -MongoDB helper/caching layer -Scraping and ETL pipeline for public-record and legal-notice data -Playwright/Patchright-based scraping -reCAPTCHA-aware scraping workflows -LLM-based data extraction / AI-assisted parsing of unstructured notice data -Pydantic models -Google Cloud integrations: Cloud Run, Cloud Scheduler, Pub/Sub, Secret Manager, Cloud Storage, Artifact Registry -Docker -Pulumi infrastructure-as-code -GitHub Actions CI/CD -pytest, Ruff, uv You do not need to be world-class in every tool listed above, but you should be strong enough in Python backend systems, scraping/data pipelines, and cloud deployment to quickly understand the architecture and make sound technical decisions. What We Need Help With We need someone who can: -Review and understand the current backend architecture -Stabilize and improve the scraping / ETL pipeline for public-record and legal-notice data -Make sure public-record and legal-notice data is collected, parsed, stored, and served correctly -Improve backend APIs used by the frontend -Improve data quality checks for incomplete, missing, or inconsistent property records -Build and maintain property enrichment workflows using external data sources -Help design database models for richer property history and event tracking -Improve LLM-assisted parsing of unstructured legal notice data where appropriate -Debug deployment, CI/CD, Cloud Run, and infrastructure issues -Improve logging, error handling, monitoring, and observability -Strengthen test coverage where it matters -Help document the backend so future developers can contribute -Coordinate with our frontend developer to support product launch -Help prioritize backend work based on launch impact, data reliability, and technical risk Who This Is For You are likely a strong fit if you: -Like working inside existing codebases -Can diagnose messy systems without needing everything rewritten -Think in practical tradeoffs, not just ideal architecture -Are comfortable with incomplete documentation -Have experience with scraping/ETL workflows and unstructured data extraction -Can explain technical risks clearly to a non-technical founder -Prefer shipping useful improvements over debating perfect abstractions -Are willing to own outcomes, not just complete assigned tickets Who This Is Not For This is probably not the right fit if you: -Only want clean, fully documented codebases -Prefer to rebuild from scratch by default -Need enterprise-level process before making progress -Are an agency sending rotating developers -Only want tightly defined tickets with no ambiguity -Are uncomfortable with scraping, data quality, or production debugging Hiring Process We want to keep the hiring process practical and focused on real work. 1. Initial Screening We will review your proposal, background, and screening question responses. 2. Real-World Technical Scenario Strong candidates may be asked to respond to a specific backend issue from our current roadmap. We are looking for how you think, what tradeoffs you notice, and how clearly you communicate. 3. Paid Finalist Review A small number of finalists may be invited to complete a paid review of the existing backend codebase before any larger implementation work begins. Budget / Working Style We are an early-stage company and are looking for a practical, startup-minded developer. This is a paid contract role, but we are not looking for enterprise-agency rates. We value clear communication, efficient execution, and someone who can help us prioritize the highest-leverage backend work first. The first paid technical review may be structured as a fixed-price milestone. Continued implementation work may be hourly or milestone-based depending on fit. Long-Term Opportunity Our goal is to find someone who can become a long-term backend partner for the product, not just complete isolated tickets. For the right person, there may be an opportunity to grow into a technical lead / backend ownership role with additional upside tied to company performance. We are looking for someone who wants to help take a real product to market, but the initial engagement will be paid, scoped clearly, and focused on proving mutual fit.

We are looking for a hands-on senior Python/FastAPI trading-system developer with strong testing, debugging, and broker API experience. This person should be able to work inside an existing codebase, identify what is breaking, fix the issues, and prove the fixes with tests, logs, API output, and dashboard evidence. Ideal experience: • Python backend development • FastAPI • MongoDB • Heroku logs and deployment workflow • React/TypeScript frontend debugging • Alpaca API or similar broker API experience • Trading bot lifecycle experience • Automated testing and regression testing • Market data, candle/bar data, indicators, and timestamp handling • Ability to trace scanner → scoring → decision → order readiness → position state → sell/hold logic This is not a rebuild project. The goal is to test and repair the current system.

I'm looking for an experienced Python developer who is familiar with: - Hugging Face's Diffusers and Transformers Libraries - PyTorch - Hosting model inference efficiently You also have to be okay with adult media (NSFW). I'm building a platform to host inference for AI models, particular image and video generation models, and some traditional LLMs / VLMs as well. We're currently using HF Diffusers and Transformers, although I'm open to using other runtimes. We're also building a python-library for our platform. Most of the code has been written by AI (Claude Code and Codex), and needs to be audited and improved / refactoed. The inference is way slower than I think it should be, so I'd like someone to take a look and recommend ways to speed it up; I'm down for any ideas you have really. When posting, please explain concisely why you think you'd be a good fit for this role. For example, 'at company Y, I built X, getting inference time down from 10s to 2s'. Any templated or LLM applications will be rejected immediately. A few sentences is long enough. Thanks and good luck.

Looking for an expert that can help with this one time project.

Sunstone Systems is a managed platform business that builds data infrastructure and custom applications for operations-heavy clients. We are looking for a versatile implementation partner to take on fixed-price projects across our delivery pipeline. Start with a smaller paid task to confirm fit; ongoing work follows for the right person. The Stack - n8n (self-hosted) for workflow automation - Supabase / PostgreSQL - Next.js (App Router, TypeScript, tRPC) - Python for scripting, data work, and AI agent builds - AI agent development with Claude Agent SDK, MCP servers, and tool use patterns - Integrations work across APIs like Salesforce, Slack, ClickUp, and various SaaS platforms You don't need to be an expert in every line item, but you should be genuinely strong in at least three and comfortable in the rest. What You'd Actually Do Projects vary, but typical work includes: - Building n8n workflows that move data between client systems and Supabase - Working within new and existing Postgres / Supabase databases. Comfortable reading schemas, writing queries, and debugging triggers, functions, and RLS policies. - Writing Next.js features against an existing codebase - Building Python services and AI agents that integrate with the rest of the stack - Debugging production issues across the stack What I Need From You Operational thinking. Real experience with business workflows, SOPs, and processes, not just code. You understand that the system has to fit how the business actually runs. Resourcefulness above all else. When you hit something you don't understand, you dig. You read the docs, trace the code, build a small reproduction, and figure it out. This is the trait that I look for above any technical skill. Strong written communication and the ability to update a project within a PM tool. Comfortable working from a written spec and pushing back when something's wrong. Git discipline. Clean commits, sensible PRs. Logistics Fixed-price per project. Budgets vary by scope, typically defined in a short SOW before kickoff Start with one smaller paid task ($500 to $1,500 range) to confirm fit before larger work. Open to a long-term engagement for the right person. To Apply Skip the generic cover letter. Instead, tell me: One project from your portfolio that's closest to this stack, with a one-paragraph description of what you actually built. Your honest strengths and weaknesses across the stack listed above. A link to code you've written (GitHub, a gist, simple file share, anything real is fine). A short example of a time you hit a wall on a project and how you got past it. One paragraph is fine. I read every application personally. Applications without those four things won't get a response.

Job description Corprex builds on-premises AI infrastructure for regulated enterprises. Think sovereign, private AI deployments for manufacturers, utilities, financial firms, and law firms. We keep sensitive data off the cloud entirely. We're a lean, fast-moving startup and we need a senior full stack developer to own a broad scope: our cloud-hosted SaaS portal, customer-facing dashboards, internal platform tooling, and integration work that ties into our on-prem Omega platform. You'll be working directly with the CEO. What you'll work on → Single-tenant cloud SaaS portal (new build) — the hosted version of our on-prem product → Customer-facing dashboards for AI usage, document access, and activity monitoring → REST API development and integration with our backend AI platform → Active Directory / SSO integration work for enterprise deployments → Demo environments and sales-facing tooling used in Fortune 500 prospect demos → Internal ops tooling as needed Requirements → US-based, available during Eastern or Central business hours → 5+ years full stack experience — strong backend required (Node.js, Python, or similar) → React or Next.js on the frontend → Cloud deployment experience — AWS, GCP, or Azure → Comfortable working in a startup environment with minimal oversight → Experience with enterprise auth (Active Directory, LDAP, SAML, or OAuth) is a strong plus → Prior work on AI-integrated products (RAG pipelines, LLM APIs, vector DBs) is a plus Engagement details Scope: Ongoing / retainer Hours: Part-time to full-time Location: US only To apply, answer these in your proposal 1.What's a backend-heavy project you've shipped end-to-end? Briefly describe the stack and your role. 2.Have you worked with enterprise auth (AD, SAML, SSO)? If yes, in what context? 3.What's your availability and hourly rate?