Backend Engineer - AdTech Analytics

Adomik is the leader in AdTech analytics, helping digital media publishers optimize their programmatic revenue at scale. Our AI-powered SaaS platform is used daily by 100+ customers across 20 countries, including industry leaders such as Microsoft, Dotdash Meredith, and Tripadvisor. We process 10 TB+ of data every day across 200+ AWS instances.

Would you like to work in a start-up environment at the forefront of AdTech analytics, using cutting-edge AI tools like Claude Code to accelerate your workflow?

If you enjoy tackling complex problems involving large amounts of data, are curious, passionate, and care about delivering quality software — join our team of talented developers.

As part of the BUILD team, you'll be contributing to a key MCP (Model Context Protocol) project, (brief description of the project — to be completed), working closely with the Product team on a daily basis, as well as with our data engineers and data scientists.

• Build and maintain backend services and APIs in Python as part of our MCP project.


• Design, build and enhance our platform across multiple projects (APIs, internal tools, data pipelines).


• Collaborate closely with the Product team to understand requirements, propose solutions, and iterate on feedback.


• Optimize existing application code to improve performance and maintainability.


• Share best development practices and contribute to technical documentation.


• Take the initiative to improve our architecture, design, and development workflows.

Core Skills

AI-Assisted Development

• Proficiency with Claude Code for AI-assisted development: code generation, refactoring, debugging, and codebase exploration. Ability to craft effective prompts and leverage AI tools to accelerate delivery while maintaining code quality.

Backend (Python)

• Design, development, and maintenance of Python applications and RESTful APIs (FastAPI, Django, Flask). Strong focus on clean architecture, scalable patterns, performance, and best practices: testing, code reviews, continuous integration, and technical documentation.


• Ruby on Rails: familiarity or prior experience is a strong plus.

Data & Storage

• Strong SQL skills with ability to write complex analytical queries. Familiarity with Snowflake is a plus but not required. Experience with environments mixing SQL (MySQL) and NoSQL (MongoDB), and performance/caching tooling such as Redis and Elasticache.

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Quality & Delivery

• Strong engineering discipline: automation and tooling with GitHub, CI/CD (GitHub Actions), testing, linting, and structured review processes. Experience working with cloud and scalable environments.

• 🌍 100% remote, long-term freelance engagement


• 🤖 AI-first environment — Claude Code is part of the daily workflow


• 🧑‍💻 A tight-knit, talented engineering team with a strong technical culture


• 🚀 Start-up environment with real ownership and autonomy


• 📊 Work on genuinely complex data problems at scale (10TB+ daily)

Interested?

Apply directly, we review every application!