Qodo
Qodo is a cutting-edge AI platform designed to enhance coding efficiency and ensure high-quality software development through automation.
Company facts
- Founded
- 2022
- Headquarters
- Israel
- CEO
- Itamar Friedman
About
Qodo (formerly Codium) is a quality-first generative AI coding platform that helps developers write, test, and review code seamlessly within Integrated Development Environments (IDEs) and Git repositories. Launched in 2022, Qodo integrates powerful AI tools that automate code generation, testing, and reviews, significantly enhancing developers' productivity and confidence in their code quality. Qodo's suite of tools ensures robust, reliable software by providing contextual suggestions, automated code reviews, and comprehensive test generation. The platform supports a wide range of programming languages, facilitating smooth integration into existing workflows. With an emphasis on maintaining high standards of code integrity, Qodo also allows developers to define coverage goals, guiding the generation of tests to enhance code coverage efficiently. By focusing on quality-first approaches, it empowers teams to detect vulnerabilities and bugs early in the development process, ultimately leading to better software outcomes.
Open positions
Senior Software Engineer
Senior backend engineer on Qodo's Shift-left Solutions team, building integrations between its AI code-review platform and developer tools like Claude Code, Cursor, and Copilot. Day-to-day: design and ship Python/FastAPI services backed by PostgreSQL, Redis, and GCP with LLM integrations, owning projects end-to-end and mentoring teammates.
Senior Backend Engineer
Senior Backend Engineer building Qodo’s AI code‑review platform, responsible for designing, implementing and maintaining Python‑based backend services on GCP/AWS, working with PostgreSQL and leveraging AI tools to improve development speed and code quality.
Senior DevOps Engineer
Senior DevOps Engineer at Qodo (AI code-review platform) owning end-to-end enterprise deployments of the company's Kubernetes-based stack inside customer-managed AWS/GCP/Azure environments — installing, debugging, and automating with Terraform, Helm, and Python/Bash while working directly with client engineering teams.