I build reliable, automated cloud systems that help teams deploy faster and operate with confiden...

I build reliable, automated cloud systems that help teams deploy faster and operate with confiden...I build reliable, automated cloud systems that help teams deploy faster and operate with confiden...

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Oluwaferanmi Dada

• 10h

I build reliable, automated cloud systems that help teams deploy faster and operate with confidence.

As a DevOps Engineer, I work with:

AWS & Azure Docker & Kubernetes CI/CD with GitHub Actions Infrastructure as Code with Terraform Monitoring with Prometheus & Grafana Logging with Loki and alerting with Alertmanager

Recently, I've been building projects around infrastructure automation, observability, Kubernetes operations, and AI-powered incident response.

My goal is simple: reduce manual work, improve system reliability, and help teams build better software delivery processes.

I am available for DevOps and cloud automation projects. If you're looking to automate deployments, improve your infrastructure, or set up monitoring for your applications, let's connect.

Ruslan Kyrychenko

• Aug 24

I recently finished building AIVELOFT V2, a premium Framer template for AI automation agencies and consultants.

One principle shaped the product from the start:

automation should be observable, measurable, and controlled.

Instead of relying on generic AI visuals or hype, I focused on real workflows, human checkpoints, integrations, responsive UX, and an exploratory ROI calculator.

The goal was to make complex automation services easier to understand and easier to present credibly.

Built in Framer.

Framer Web Design Product Design

MD Rafee Alam

• 1d

the automation flow panel with timestamps next to the headline is a smart move, it shows the product instead of just claiming it works. the 38h saved and 24/7 active stats sell it better than any copy could.

satendra singh

• Aug 24

🚀 Building Scalable Backend Systems & AI-Powered Applications

I’m a Senior Software Engineer specializing in backend engineering, distributed systems, cloud infrastructure, and AI-powered applications.

I help startups and businesses turn ideas into reliable, scalable, and production-ready software.

🔧 What I Can Help You Build

Backend & APIs

Node.js / TypeScript backend development

Golang services and high-performance APIs

REST APIs & backend architecture

Microservices and distributed systems

WebSocket & real-time applications

Databases & Performance

PostgreSQL

MongoDB

Redis

Database architecture and optimization

Caching and performance improvements

Cloud & Infrastructure

AWS

Docker

Kubernetes

Production deployments

Scalable cloud architectures

AI Engineering

LLM integrations

RAG applications

AI agents

AI-powered APIs and workflows

Integration with modern AI platforms and models

Full-Stack Integration

Next.js

React

Backend/API integration

End-to-end application architecture

💡 What I Focus On

I don't just write code—I focus on building systems that are:

⚡ Fast 📈 Scalable 🔐 Reliable ☁️ Production-ready 🤖 AI-enabled when it makes sense

If you're building a SaaS product, AI application, real-time platform, API, or scalable backend, I'd be happy to discuss how I can help.

📩 Open to freelance projects, contract work, and long-term collaborations.

#BackendDevelopment #NodeJS #Golang #TypeScript #Microservices #AWS #Kubernetes #Docker #PostgreSQL #MongoDB #Redis #AI #LLM #RAG #AIAgents #NextJS #React #SoftwareEngineering #FreelanceDeveloper

Dean L

• Aug 24

Title: AI-Native Full-Stack Engineer for Private Portfolio Intelligence App

I’m building ThesisFrame, a private, single-user portfolio intelligence app. It is not a trading or signal product: it helps the user review what changed in a portfolio, connect evidence to an investment thesis, and clearly surface missing or stale data.

The existing project already includes:

TypeScript / Node.js intelligence service

PostgreSQL

React-based Wealthfolio add-on

Docker / Compose deployment setup

Written architecture and phased development plan

I’m looking for one strong, pragmatic full-stack engineer who uses AI tools productively but still ships tested, understandable, maintainable code.

Initial paid trial — 8 to 12 hours: Build a small read-only adapter from Wealthfolio portfolio snapshots into the Intelligence service.

Deliverables:

Clean TypeScript implementation

Fixture-based test data

At least one automated test

Clear README / run instructions

One focused GitHub pull request

No access to real portfolio data, credentials, or production infrastructure

If the trial goes well, this can become a part-time engagement of roughly 10–20 hours per week, delivered through small milestones.

Required experience:

Strong TypeScript, Node.js and React

PostgreSQL schema design and migrations

REST/API integrations, rate limits, retries and error handling

Docker / Docker Compose

Automated testing and GitHub PR workflow

Comfortable reading an existing codebase and following a written architecture

Strong plus:

Financial-data APIs, data provenance, ETL/ingestion pipelines

Hono, Zod, React 19, scheduled jobs

Experience building with Cursor, Codex or Claude Code while retaining engineering discipline

Important constraints:

Every external data point needs source, timestamp and freshness information.

Missing or failed data must become an explicit “Data Gap”, never a silent zero or “no change”.

No automated trading, Buy/Sell/Hold advice, price targets or execution features.

All work must be committed to my GitHub repository. I retain full IP ownership.

Please do not apply if your approach is primarily unreviewed AI-generated code.

When applying, please send:

One relevant GitHub repo or PR you personally wrote.

A short explanation of how you would approach the paid trial.

Your hourly rate and weekly availability.

A brief example of a production bug you caught with a test.

Budget: Please propose an hourly rate for a paid trial first. I value quality, communication and test discipline over the lowest price.

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The network for creativity

Join 1.25M professional creatives like you

Connect with clients, get discovered, and run your business 100% commission-free

Creatives on Contra have earned over $150M and we are just getting started

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Ruslan Kyrychenko

• Aug 24

I recently finished building AIVELOFT V2, a premium Framer template for AI automation agencies and consultants.

One principle shaped the product from the start:

automation should be observable, measurable, and controlled.

Instead of relying on generic AI visuals or hype, I focused on real workflows, human checkpoints, integrations, responsive UX, and an exploratory ROI calculator.

The goal was to make complex automation services easier to understand and easier to present credibly.

Built in Framer.

Framer Web Design Product Design

MD Rafee Alam

• 1d

satendra singh

• Aug 24

🚀 Building Scalable Backend Systems & AI-Powered Applications

I’m a Senior Software Engineer specializing in backend engineering, distributed systems, cloud infrastructure, and AI-powered applications.

I help startups and businesses turn ideas into reliable, scalable, and production-ready software.

🔧 What I Can Help You Build

Backend & APIs

Node.js / TypeScript backend development

Golang services and high-performance APIs

REST APIs & backend architecture

Microservices and distributed systems

WebSocket & real-time applications

Databases & Performance

PostgreSQL

MongoDB

Redis

Database architecture and optimization

Caching and performance improvements

Cloud & Infrastructure

AWS

Docker

Kubernetes

Production deployments

Scalable cloud architectures

AI Engineering

LLM integrations

RAG applications

AI agents

AI-powered APIs and workflows

Integration with modern AI platforms and models

Full-Stack Integration

Next.js

React

Backend/API integration

End-to-end application architecture

💡 What I Focus On

I don't just write code—I focus on building systems that are:

⚡ Fast 📈 Scalable 🔐 Reliable ☁️ Production-ready 🤖 AI-enabled when it makes sense

If you're building a SaaS product, AI application, real-time platform, API, or scalable backend, I'd be happy to discuss how I can help.

📩 Open to freelance projects, contract work, and long-term collaborations.

#BackendDevelopment #NodeJS #Golang #TypeScript #Microservices #AWS #Kubernetes #Docker #PostgreSQL #MongoDB #Redis #AI #LLM #RAG #AIAgents #NextJS #React #SoftwareEngineering #FreelanceDeveloper

Dean L

• Aug 24

Title: AI-Native Full-Stack Engineer for Private Portfolio Intelligence App

The existing project already includes:

TypeScript / Node.js intelligence service

PostgreSQL

React-based Wealthfolio add-on

Docker / Compose deployment setup

Written architecture and phased development plan

I’m looking for one strong, pragmatic full-stack engineer who uses AI tools productively but still ships tested, understandable, maintainable code.

Initial paid trial — 8 to 12 hours: Build a small read-only adapter from Wealthfolio portfolio snapshots into the Intelligence service.

Deliverables:

Clean TypeScript implementation

Fixture-based test data

At least one automated test

Clear README / run instructions

One focused GitHub pull request

No access to real portfolio data, credentials, or production infrastructure

If the trial goes well, this can become a part-time engagement of roughly 10–20 hours per week, delivered through small milestones.

Required experience:

Strong TypeScript, Node.js and React

PostgreSQL schema design and migrations

REST/API integrations, rate limits, retries and error handling

Docker / Docker Compose

Automated testing and GitHub PR workflow

Comfortable reading an existing codebase and following a written architecture

Strong plus:

Financial-data APIs, data provenance, ETL/ingestion pipelines

Hono, Zod, React 19, scheduled jobs

Experience building with Cursor, Codex or Claude Code while retaining engineering discipline

Important constraints:

Every external data point needs source, timestamp and freshness information.

Missing or failed data must become an explicit “Data Gap”, never a silent zero or “no change”.

No automated trading, Buy/Sell/Hold advice, price targets or execution features.

All work must be committed to my GitHub repository. I retain full IP ownership.

Please do not apply if your approach is primarily unreviewed AI-generated code.

When applying, please send:

One relevant GitHub repo or PR you personally wrote.

A short explanation of how you would approach the paid trial.

Your hourly rate and weekly availability.

A brief example of a production bug you caught with a test.

Budget: Please propose an hourly rate for a paid trial first. I value quality, communication and test discipline over the lowest price.