Graduate Software Engineer

What you will do

Deliver Features on the Integration Core. You will implement well-scoped backend features that keep our DevOps Platform integrations reliable and extensible — repository importing, binding, authentication, and webhook processing.

Own Your Code from Local to Cloud. You will write clean, testable Java code and own your work from local development to production. You are responsible for the full lifecycle of the features you build. You will deploy to AWS, monitor service health through metrics and logs, and troubleshoot production issues to maintain high availability for our users.

Enable Other Squads. You will contribute to the libraries and APIs that other engineering teams use to interact with DevOps platforms. Small improvements here have a multiplying effect across the organization.

Contribute to Agentic Workflow Features. As the squad expands its integration surface to serve AI agents, you will contribute to these new capabilities — helping build and test the connectors and APIs that allow agents to consume Sonar context and act within DevOps platforms, building practical experience with emerging patterns like MCP.

AI-Native Engineering. Use AI assistants pragmatically to speed up low-level tasks (boilerplate, refactorings, test scaffolding) while keeping full responsibility for architecture and quality.

Collaborate & Grow. You will review PRs, write documentation, and participate in design discussions. You will learn from staff engineers on the squad and contribute your own perspective as you build expertise in your domain.

Experience and qualifications

Strong CS Fundamentals. You have a Bachelor’s or Master’s degree in Computer Science (or related field). You have a solid grasp of Algorithms, Data Structures, and Complexity Analysis.

Polyglot Potential (Java & Python & Typescript). You are proficient in at least one major language (Java or Python is a plus) and are eager to work in a hybrid environment. You care about code style, modularity, and writing clean, testable logic.

Curiosity for Systems. You understand the basics of how computers talk to each other (HTTP, API basics, Linux environment). You might not be an AWS expert yet, but you are eager to learn how to build distributed systems in the cloud.

Interest in AI/LLMs. You have a genuine interest in the AI space. You may have taken university courses on ML, experimented with OpenAI APIs in hackathons, or written a thesis involving NLP. You are excited to apply this to real-world engineering problems.

Analytical Mindset. You are not satisfied with "it works on my machine." You want to understand how things work under the hood and enjoy digging into data to understand why a system behaves the way it does.

Our Technical Stack

Languages: Java (Primary), Python (AWS CDK), TypeScript and React (integrations, frontend)

Infrastructure: AWS (Lambda, ECS, API Gateway, SQS, RDS etc), Docker

Integrations: GitHub, GitLab, Bitbucket, Azure DevOps, Jira, Slack

Principles: Pragmatic code, SOLID, TDD, distributed systems

Additional comments

This role is based in Geneva, Switzerland . We are unable to consider candidates unwilling to be in Geneva , but we are willing to relocate the right candidate.

Benefits

We encourage usage of our robust time-off allocations with 27 PTO days for our employees based out of the Geneva region, plus additional days based on seniority and circumstances.

We contribute 60% of the total cost for your pension; 13.5% to 15.5% of your base salary for savings; 2% for risk.

Generous discretionary Company Growth Bonus, paid annually.

Commuting:Sustainable mobility options, including carpooling and the refund of 60% of the annual transportation subscription.

Global workforce with employees in 20+ countries representing 35+ unique nationalities.

We have an annual kick-off somewhere in the world where we meet to build relationships and goals for the company.