Sonar is driving the future of agent-centric software development. As the leader in AI code verification and governance, we solve a critical problem: ensuring that software generated by AI-assisted developers or autonomous agents is reliable, secure, and maintainable.
Integrating seamlessly with Claude Code, Codex, Cursor, GitHub Copilot, Gemini, and Devin, we help over 75% of the Fortune 100 build trusted, reliable, compliant software. Customers who use Sonar are 44% less likely to report an outage due to AI-generated code.
We believe code verification is the critical missing link in the Agent-Centric Development Cycle (AC/DC). Industry giants like Nvidia, ServiceNow, Booking.com, Goldman Sachs, AstraZeneca, and Ford Motor Company count on us to provide independent, explainable, consistent review and governance of their AI-generated code via products like:
- SonarQube: The world’s leading AI code review and verification platform.
- SonarQube Foundation Agent: Currently topping the leaderboards for agentic software repair.
- SonarSweep & Sonar Context Augmentation: Providing the enterprise-grade context and constraints agents need to be truly effective.
Our team operates across global hubs in Austin, Bochum, Dubai, Geneva, London, Singapore, Tokyo, and Washington D.C. We move with a mindset we call CODE:
- Committed to our customers and community.
- Obsessed with quality.
- Deliberate in our decisions.
- Effective as one team.
With over $400M in revenue and profitable, fast-paced growth, we are building the backbone of the AI software revolution. If you’re hungry to have an impact, want to build at a fast pace, and ready to work at the forefront of AI, we want to hear from you.
We want to make the best decisions possible for our products and to do that, we need to make data-driven decisions.
To achieve this goal, we are looking for a talented Data Engineer - you! - to join the Data & ML Platform team.
Together, we will make Sonar’s products the undisputed world-leading code remediation solution!
What you will do
- Design and implement data storage, transformation, and load capabilities of our pipelines.
- Continuously enhance the data platform. Propose, implement and manage data handling services according to stakeholders needs (Product Managers, Marketing, Sales, engineering teams, ...)
- Establish top-class end-to-end pipelines including data cleaning and modelling.
- Develop and deploy connectors to data sources of interest.
- Maintain evergreen data flow documentation across systems.
- Collaborate on Data Governance with other stakeholders/domains.
- Work with the security function to ensure we adhere to expected security standards.
- Collaborate with the incident manager to bring your expertise when asked and own implementation of recommendations from post-mortems.
You will design and develop the data platform to support the functional domains in handling their data and help them in their journey to data ownership. This means:
Experience and qualifications
You have solid software engineering experience, focusing on developing data engineering pipelines and storage in the cloud. You have been exposed to big data architecture essentials, streaming, ETL batches, data store administration, …
You see yourself as a developer working on data. You are motivated by both technical and functional aspects of services.
You are a friendly, enthusiastic, and organized team player. You actively share your knowledge and give and receive feedback to improve the team and yourself.
Strong experience building end-to-end ETLT, ETL, or ELT pipelines with batch or streaming technologies in Python.
Experience working with Databricks as a Platform or building data pipelines with PySpark is a plus.
Strong experience with the AWS platform including, but not limited to, services such as: Glue, RedShift, CloudFormation, S3, CloudWatch, Lambdas, etc… or equivalents
Good knowledge of data engineering concepts (Data Lake, Data Warehouse, etc…)
Experience with Infrastructure as code tools (CDK, CloudFormation, Terraform)
You are fluent in English, both written and spoken
We're intentional about this. We believe the best teams are built in the room together. Three anchor days — Mondays, Tuesdays, and Thursdays — create the collaboration rhythm that makes a hub office worth having.
Candidates need to be genuinely based in the location the role is posted — if that's not where you are today, we're happy to support relocation for the right person.
We value diversity, equity, and inclusion
At Sonar, we believe that our diversity is our strength. We are a global company that values and respects different backgrounds, perspectives, and cultures. We are committed to fostering a diverse and inclusive work environment where everyone feels valued and empowered to contribute their best. We are proud to be an equal opportunity employer and welcome all qualified applicants, regardless of race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status.
If you need any accommodation, please reach out to us at [email protected].
All offers of employment at Sonar are contingent upon the results of a comprehensive background check and reference verification conducted before the start date.
Applications that are submitted through agencies or third party recruiters will not be considered.
Skills Required
- Solid software engineering experience focused on cloud-based data engineering pipelines and storage
- Experience with big data architecture, streaming, ETL batches, and data store administration
- Strong experience building end-to-end ETLT, ETL, or ELT pipelines using batch or streaming technologies in Python
- Strong experience with AWS or equivalent cloud platforms, including services such as Glue, Redshift, CloudFormation, S3, CloudWatch, and Lambda
- Good knowledge of data engineering concepts, including data lakes and data warehouses
- Experience with infrastructure-as-code tools such as CDK, CloudFormation, or Terraform
- Fluent English, written and spoken
- Experience working with Databricks as a platform or building data pipelines with PySpark
- Collaborative, organized, enthusiastic team-player mindset with a willingness to share and receive feedback
What the Team is Saying
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What We Do
Sonar provides the essential verification layer for the AI-driven development era, ensuring all code—whether human-written or AI-generated—is code you can trust. Today, AI coding tools are generating explosive volumes of code. This has created an "engineering productivity paradox" : faster code writing doesn't automatically lead to faster, safer software delivery. The new bottleneck is verification. Sonar solves this. Integrating code quality and code security into a single platform (SonarQube), Sonar is the foundation for high performance software engineering, analyzing over 750 billion lines of code daily to ensure applications are secure, reliable, and maintainable. As an independent verification platform, Sonar enables organizations to securely develop at the speed of AI. We are driven by a deep belief in our people, a commitment to excellence, and an unwavering dedication to delivery. We operate as a united group where our collective success is the sum of each individual's contributions. Our company culture is driven by the values of CODE: Committed, Obsessed, Deliberate & Effective. This mindset reflects our culture of creativity, collaboration, and pride in the work we do. Rooted in the open source community, Sonar’s solutions support over 35 programming languages, frameworks, and infrastructure technologies. Today, Sonar is used by 7M+ developers worldwide, including ServiceNow, Booking.com, Deutsche Bank, AstraZeneca, and Ford Motor Company. Sonar is headquartered in Geneva, Switzerland with additional offices in Austin, Texas; Bochum, Germany; London, Singapore, and Tokyo. The company is rapidly growing with over 800 employees! Join us in our mission to solve the trillion-dollar challenge of bad code!
Why Work With Us
We are a product-first company, with a people-first culture. Every employee has the opportunity to grow and learn. We promote from within, provide regular feedback and professional development opportunities, value the right to fail along with respect and kindness and work with team members to achieve their full potential.
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Sonar Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
At Sonar, we require employees to come into the office 3 days/week.
