Java Software Engineer - Static Code Analysis

Sonar’s industry leading solution solves the trillion-dollar challenge of bad code, equipping developers and organizations to reach a problem-free state in their codebase with Clean Code. Through its unique Clean as You Code methodology, the organization has empowered 7 million developers and 400,000 organizations across the globe to systematically deliver better software.

The impact you will have
The Sonar Code Next team is looking for a passionate Python Developer to join a fast-paced, dynamic group at the intersection of Large Language Models (LLMs), static analysis, and programming languages. Working on cutting-edge, AI-driven projects, you’ll help push the boundaries of automated code quality and security.
Our mission is to harness our expertise in static analysis and large language models (LLMs) to advance AI’s ability to understand, generate, and improve code. We develop prototypes grounded in cutting-edge research, testing innovations across the LLM development lifecycle—from data processing and model training to benchmarking. Our approach leverages techniques such as supervised fine-tuning (SFT), direct preference optimization (DPO), reinforcement learning from human feedback (RLHF), and retrieval-augmented generation (RAG) to enhance model performance and code quality.
As a key member of this team, you’ll directly influence AI-driven solutions by developing and refining the tools that make these initiatives possible. In this hands-on role, you’ll focus on implementing and optimizing methodologies that enhance code quality—ensuring that all solutions are scalable, maintainable, and ready for production.

What You Will Do Daily:
Develop and maintain Python-based tooling and infrastructure to support AI-driven solutions for code quality and security.
Implement and optimize AI-focused experiments, creating robust systems to evaluate modern techniques, including fine-tuning, retrieval-augmented generation (RAG), direct preference optimization (DPO), and reinforcement learning from human feedback (RLHF).
Write scalable, production-quality Python code to support AI workflows, dataset processing, and evaluation frameworks.
Design and maintain benchmarking pipelines to assess Large Language Model (LLM) performance in generating clean, maintainable code.
Process and refine datasets, ensuring they’re structured and optimized for training and evaluation.
Develop integrations between AI systems and static analysis tools, enabling AI-assisted insights for developers.
Collaborate with static analysis experts and AI researchers to turn experimental ideas into practical, working solutions.
Continuously improve the development processes via workflow refinement, automation, and tooling for AI-assisted coding.

The Experience You Will Need:
Proven expertise in Python development, writing clean, maintainable, and efficient code.
Solid software engineering foundation, including algorithms, testing, CI/CD, and best practices for building scalable and reliable software.
Deep curiosity about LLMs, static analysis, and multiple programming languages, recognizing their strengths, challenges, and nuances.
Genuine interest in AI-driven software development, and a willingness to work on projects integrating AI with developer tools.
Pragmatic approach to problem-solving, balancing research-driven innovation with building production-ready systems.
Bonus points for hands-on experience with LLM-related projects, static analysis, or proficiency in additional programming languages (e.g., TypeScript, Java, C#).

Why you will love it here:
Our culture and mission set us apart. We have a dynamic work culture that values respect and kindness – and embraces the right to fail (and get right back up again!). We believe that the best idea wins and everyone has a voice.
We believe that great people make a great company. We value people skills as much as technical skills and strive to keep things friendly and laid-back while still being passionate leaders in our domains. Our 550+ SonarSourcers from 33 different nationalities can relate!
We embrace work-life balance. It is important to maintain a healthy work-life balance. This is why we have a flexible work policy that includes remote and in-office hybrid work (minimum three days a week in the office - Monday/Tuesday/Thursday).
We have a growth mindset. We love to learn and believe that continuous education is critical to our success. In an ever-changing industry, new skills are a must, and we're happy to help our team acquire them.

We prioritize Diversity, Equity, and Inclusion:
At Sonar, we are a global workforce and recognize the value of different backgrounds, and global cultures.
We are committed to creating a diverse work environment and are proud to be an equal-opportunity employer. All qualified applicants will be considered for employment without regard to race, colour, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
All offers of employment at Sonar are contingent upon the clear results of a comprehensive background check conducted prior to the start date.
Please note that applications submitted through agencies or third-party recruiters will not be considered.