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.
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 . 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.
#J-18808-Ljbffr
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.
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 . 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.
#J-18808-Ljbffr
Graduate Software Engineer Arbeitgeber: SonarSource
SonarSource ist ein hervorragender Arbeitgeber, der Ihnen die Möglichkeit bietet, in einem dynamischen und innovativen Umfeld in Genf zu arbeiten. Wir fördern eine offene und kollaborative Unternehmenskultur, die auf kontinuierlichem Lernen und persönlichem Wachstum basiert. Mit attraktiven Benefits und der Chance, an der Spitze der KI-gesteuerten Softwareentwicklung zu stehen, sind wir bestrebt, unseren Mitarbeitern eine sinnvolle und erfüllende Karriere zu bieten.
