Sonarsource

<h3><strong>Who is Sonar?</strong></h3>
<p>Sonar enables organizations to ship agentic code with confidence. Code creation is abundant, but confidence is scarce. Our core platform, SonarQube, verifies over 750 billion lines of code every day, delivering agentic verification and governance for all code. Trusted by more than 7 million developers and 75% of the Fortune 100, including teams at Nvidia, ServiceNow, <span><a rel="noopener noreferrer ugc" href="http://Booking.com" target="_blank">Booking.com</a></span>, Goldman Sachs, AstraZeneca, and Ford Motor Company, Sonar enables organizations to reduce outages, improve security, and lower the cost and risk of agentic software development.<br /><br />Founded in Geneva and now headquartered in Austin, Texas, Sonar has a global team working across offices and hubs, including Silicon Valley, London, Bochum, Barcelona, Singapore, Tokyo, and the Washington, D.C. area. At Sonar, we’re enabling enterprises to build agentic software factories that can move quickly while maintaining the control, consistency and evidence required to ship with confidence.<span> </span></p><div><br /></div><div>
<h3>Position description</h3>
<p>You will work on pioneering projects that advance the application of AI within the realm of software engineering. This role offers the opportunity to conduct cutting-edge research, develop novel algorithms and contribute to the development of software tools that enhance system performance, reliability, and flexibility. Your work will directly impact the efficiency and effectiveness of our AI products, enabling developers to spend less time fixing issues and more time innovating. You will contribute to the creation of accessible, user-friendly, and performant solutions that integrate seamlessly with our existing infrastructure.</p>
</div>
<h2>What You Will Do:</h2><div>

<li>
<p>Conduct applied research in integrating AI/ML techniques with software engineering practices to improve code quality, testing, and software maintenance.</p>
</li>
<li>
<p>Design and implement experimental prototypes to demonstrate the feasibility and effectiveness of new methodologies.</p>
</li>
<li>
<p>Collaborate with cross-functional teams, including AI researchers, software engineers, and product managers, to translate research findings into practical applications.</p>
</li>
<li>
<p>Stay informed about the latest advancements in AI/ML and software engineering to identify emerging trends and opportunities for innovation.</p>
</li>
<li>
<p>Publish research findings in leading academic conferences and journals, and present innovative work to the broader research community.</p>
</li>
<li>
<p>Participate in code reviews and provide constructive feedback to other developers/researchers. </p>
</li>
<li>
<p>Implement best practices from DevOps to maintain a readable codebase, testable infrastructure and documented research artifacts. </p>
</li>

</div>
<h2>Experience and qualifications</h2><div>

<li>
<p>Bachelor’s degree (or equivalent) in Computer Science, Engineering, or related field. </p>
</li>
<li>
<p>At least 2 years of experience as a Research Engineer, ideally in Software Engineering.</p>
</li>
<li>
<p>Strong research background in AI, ML, and SE</p>
</li>
<li>
<p>Experience working with Agentic technologies (e.g. Astra, Opus, Vertex) </p>
</li>
<li>
<p>Experience in developing and prototyping in Python which utilize AI/ML</p>
</li>
<li>
<p>Understanding of software development processes and terminology.</p>
</li>
<li>
<p>Familiarity with techniques for automated code generation, program synthesis, or software testing using AI/ML</p>
</li>
<li>
<p>Strong problem-solving skills and ability to work independently and collaboratively</p>
</li>
<li>
<p>Excellent communication skills for conveying complex technical concepts</p>
</li>

</div>

Research Engineer

<h3><strong>Who is Sonar?</strong></h3>
<p>Sonar enables organizations to ship agentic code with confidence. Code creation is abundant, but confidence is scarce. Our core platform, SonarQube, verifies over 750 billion lines of code every day, delivering agentic verification and governance for all code. Trusted by more than 7 million developers and 75% of the Fortune 100, including teams at Nvidia, ServiceNow, <span><a rel="noopener noreferrer ugc" href="http://Booking.com" target="_blank">Booking.com</a></span>, Goldman Sachs, AstraZeneca, and Ford Motor Company, Sonar enables organizations to reduce outages, improve security, and lower the cost and risk of agentic software development.<br /><br />Founded in Geneva and now headquartered in Austin, Texas, Sonar has a global team working across offices and hubs, including Silicon Valley, London, Bochum, Barcelona, Singapore, Tokyo, and the Washington, D.C. area. At Sonar, we’re enabling enterprises to build agentic software factories that can move quickly while maintaining the control, consistency and evidence required to ship with confidence.<span> </span></p><div><br /></div><h3><strong>Position description</strong></h3>
<div>
<p>The Business Technology team is composed of passionate technologists who are fully engaged in delivering the best products that help teams deliver their best work. We are focused on reducing friction and getting the most value from solutions to enhance outcomes. We want to expand our Business Technology landscape to manage more systems in a predictable way that accounts for scalability, resilience, and performance.</p>
<p>This role sits at the intersection of AI-native operations, enterprise platform engineering, and IT service management. You will own how Sonar designs, builds, and operationalizes AI-augmented systems across its internal technology ecosystem — engineering AI agents and connectors, automating workflows end-to-end, and integrating our enterprise tool stack, with Jira Service Management and the Atlassian suite as one core platform among several.</p>
<p>While Jira Service Management and the broader Atlassian suite form a core part of your platform footprint, your scope extends well beyond it: you will build and maintain integrations across our enterprise tool stack, engineer automation pipelines that eliminate manual work at scale, and operationalize AI-native capabilities (Enterprise Apps connectors, Claude MCP integrations, Rovo agents) that put Sonar ahead of the curve in AI-driven internal operations.</p>
<p>Your success will directly enable every internal team at Sonar to work faster, smarter, and with less friction — and will give leadership real-time visibility, consistent governance, and a platform that scales effortlessly with the company's global growth.</p>
</div>
<h2>What you will do</h2><div>
<p>You are confident in owning and evolving a multi-platform internal technology ecosystem for a fast-growing, multi-site, multinational organization. You bring deep expertise in building AI-native systems and automations, and you are equally at home administering and evolving ITSM platforms — especially Atlassian — that anchor Sonar's internal operations.</p>
<p><strong>You bring proven, multi-year experience in:</strong></p>

<li>
<p><strong>AI Systems &amp; Agent Engineering (primary focus): </strong>Designing, building, and operationalizing AI-native capabilities across Sonar's internal stack — Claude MCP (Model Context Protocol) integrations, custom Claude skills, Rovo agents, and Enterprise Apps connectors. You prototype on the frontier, then harden what works into reliable, governed production systems that internal teams depend on daily.</p>
</li>
<li>
<p><strong>ITSM Platform Ownership (JSM): </strong>Administering, configuring, and continuously evolving Jira Service Management — including service catalog design, SLA management, queue configuration, request type rationalization, and automated routing. You treat JSM as a product, not a ticket system.</p>
</li>
<li>
<p><strong>Atlassian Suite Administration: </strong>Managing the full Atlassian Cloud ecosystem (Jira Software, Confluence, JSM, Guard, Loom, Trello, Bitbucket) with deep expertise in governance, user access management, project templates, and platform health monitoring.</p>
</li>
<li>
<p><strong>Automation Engineering: </strong>Designing and implementing sophisticated workflow automations — using Atlassian Automation, REST APIs, and third-party middleware — that eliminate manual processes and scale operations without adding headcount.</p>
</li>
<li>
<p><strong>Enterprise Integration Architecture: </strong>Building and maintaining integrations between Atlassian and adjacent enterprise systems (Slack, HR platforms, identity providers, monitoring tools) using webhooks, APIs, and marketplace apps.</p>
</li>
<li>
<p><strong>CMDB &amp; Asset Management: </strong>Owning JSM Assets configuration, data integrity, and lifecycle management across IT hardware, software licenses, and configuration items (CIs) — ensuring a reliable, audit-ready source of truth.</p>
</li>
<li>
<p><strong>ITSM Process Governance: </strong>Defining and enforcing ITIL-aligned processes including incident management, change management, problem management, and access management — translating business needs into governed, automated workflows.</p>
</li>
<li>
<p><strong>Security, Compliance &amp; Audit Support: </strong>Ensuring platform configurations adhere to SonarSource's data protection, access control, and audit requirements. Supporting external audit engagements (KPMG, PwC) with documentation and evidence packages.</p>
</li>
<li>
<p><strong>Stakeholder Enablement: </strong>Partnering with all internal teams (HR, Finance, Legal, IT, Security, GTM) to identify automation opportunities, gather requirements, and deliver continuous improvements — acting as a true internal platform consultant.</p>
</li>
<li>
<p><strong>Platform Roadmap Contribution: </strong>Proactively identifying opportunities to modernize internal processes, adopt new platform capabilities, and drive the platform roadmap forward in partnership with the BizTech BackOffice lead</p>
</li>

</div>
<h2>Experience and qualifications</h2><div>
<p><strong>Experience &amp; Technical Acumen</strong></p>

<li>
<p><strong>AI Engineering (Required): </strong>Hands-on experience with AI-native platforms and building on them — Claude/Anthropic, MCP, agent frameworks (Rovo or equivalent), connectors, and prompt-based workflows. You've built and shipped something real, not just experimented.</p>
</li>
<li>
<p><strong>Atlassian Platform Expertise (Required): </strong>5+ years hands-on administration of Jira Service Management (JSM), Jira Software, and Confluence Cloud in enterprise, multi-team environments. Deep knowledge of JSM request types, workflows, SLAs, queues, automations, and service catalog design.</p>
</li>
<li>
<p><strong>Automation &amp; Integration Engineering: </strong>Proven experience building workflow automations using Atlassian Automation and/or third-party tools. Comfortable with REST APIs, webhooks, and JSON for system integrations. Scripting experience (Python, Groovy, JavaScript) is a strong plus.</p>
</li>
<li>
<p><strong>Enterprise Tool Breadth: </strong>Experience with adjacent enterprise systems — identity providers (Okta, JumpCloud), collaboration tools (Slack, Zoom), or business systems (NetSuite, BambooHR, Salesforce) — is a strong differentiator. We don't need deep expertise in all of them, but curiosity and adaptability across the stack matters.</p>
</li>
<li>
<p><strong>CMDB / Asset Management: </strong>Experience configuring and maintaining a CMDB or IT asset management system (JSM Assets, ServiceNow CMDB, or equivalent).</p>
</li>
<li>
<p><strong>ITSM &amp; ITIL Knowledge: </strong>Strong understanding of ITSM processes and ITIL v3/v4 frameworks — including incident, change, problem, and request management — with the ability to configure platform workflows that enforce these processes at scale.</p>
</li>
<li>
<p><strong>Security &amp; Compliance Awareness: </strong>Understanding of IT General Controls (ITGC), access governance, and audit-readiness requirements. Experience supporting external audit engagements is a plus.</p>
</li>
<li>
<p><strong>Atlassian Certifications (Plus): </strong>ACP-620 (Jira Service Management), ACP-120 (Jira Administrator), or ACP-420 (Confluence Administrator) are highly valued.</p>
</li>

<p><strong>Leadership &amp; Soft Skills</strong></p>

<li>
<p>Exceptional analytical, strategic thinking, and problem-solving abilities — you see patterns others miss and turn complexity into clean solutions.</p>
</li>
<li>
<p>Highly autonomous and pragmatic: you make concrete progress in the face of ambiguity and imperfect information, without waiting for perfect requirements.</p>
</li>
<li>
<p>Strong decision-making skills, with the ability to prioritize across competing demands and manage multiple concurrent initiatives.</p>
</li>
<li>
<p>Self-confident enough to challenge the status quo — and to give and receive direct feedback in the service of continuous improvement.</p>
</li>
<li>
<p>Excellent communication skills for both technical and non-technical audiences. Fluent in English, written and verbal.</p>
</li>
<li>
<p>Collaborative by nature: you share information and ideas freely, and you understand that the best solutions emerge from collective thinking.</p>
</li>
<li>
<p>Leadership mindset: you take ownership of initiatives end-to-end and drive them to completion with accountability and autonomy.</p>
</li>
<li>
<p>Values "done" over "perfect" — while continuously looking for ways to improve processes and deliver measurable impact.</p>
</li>

</div>

AI Systems Engineer

AI Systems Engineer (f/m/d)

<h3><strong>Position description</strong></h3>
<div> </div>
<div>
<p>At Sonar, we are seeking an innovative Research Engineer to join our Data &amp; Agentic team and pioneer the next generation of our code analysis and verification engines. You will be at the forefront of applying cutting-edge AI, advanced agentic workflow and static analysis techniques to complex source code. Your work will directly shape our core products—ensuring both AI-generated and developer-written code meets rigorous enterprise quality and security standards. If you are driven to turn state-of-the-art research into practical, high-impact solutions, this is the role for you.</p>
<p> </p>
</div>
<div> </div>
<h2>What you will do</h2><ul><li><strong>Create &amp; Innovate:</strong> Actively participate in the conceptualization phase. Brainstorm novel ways to improve our products and provide immediate, practical feedback to steer exploratory research toward paths that are both impactful and engineering-feasible.</li>
<li><strong>Develop Agentic Workflows</strong>: Design, prototype, and validate intelligent agentic systems and automated workflows that facilitate writing clean code, identifying root causes of system issues, and remediating complex bugs and vulnerabilities.</li>
<li><strong>Develop Pragmatic Prototypes: </strong>Build hands-on prototypes that prove the viability and scalability of research concepts. Proactively identify engineering bottlenecks or scalability limits and propose effective mitigations early in the research phase.</li>
<li><strong>Evaluate &amp; Benchmark: </strong>Drive the rigorous evaluation of new product features. Construct high-quality datasets, define relevant success metrics, and implement comprehensive benchmarks leveraging Sonar’s existing IP alongside third-party and open-source AI tools.</li>
<li><strong>Engineer Data Pipelines</strong>: Build and manage robust data pipelines to gather, process, and version massive code-centric datasets required for training and evaluating specialized models at scale.</li>
<li><strong>Translate Prototypes to Products</strong>: Collaborate closely with engineering and product teams to integrate successful prototypes into Sonar's cutting-edge products, ensuring they meet the needs of our global user base.</li>
<li><strong>Communicate and Evangelize</strong>: Clearly articulate and document complex technical concepts and research findings to both technical and non-technical stakeholders</li></ul>
<h2>Experience and qualifications</h2><p>Must have:</p>

<li>
<p>Advanced academic background in Computer Science, Machine Learning, or a related quantitative field.</p>
</li>
<li>
<p>Strong software engineering experience (minimum 2+ years in industry) with proficiency in Python and major modern programming languages.</p>
</li>
<li>
<p>Practical experience with modern agentic frameworks, software automation tools, and LLM architectures.</p>
</li>
<li>
<p>Experience of driving research projects from initial ideation to a demonstrable prototype with a high degree of autonomy.</p>
</li>
<li>
<p>Hands-on experience integrating third-party tools, program analysis frameworks, or open-source libraries into functional prototypes.</p>
</li>
<li>
<p>Proven experience in data handling: constructing high-quality datasets, defining objective success metrics, and building robust benchmarks for new solutions.</p>
</li>
<li>
<p>The ability to fast context-switch and maintain momentum across multiple concurrent, fast-moving research topics.</p>
</li>
<li>
<p>Excellent communication skills in English, with a talent for translating complex research findings into clear, actionable artifacts for product engineering squads.</p>
</li>

<p>Plus:</p>

<li>
<p>Background in static analysis: abstract syntax trees (ASTs), code security, bug detection, etc..</p>
</li>
<li>
<p>Familiarity with LLM techniques such as model fine-tuning, semantic search engines, etc.</p>
</li>
<li>
<p>Experience with large-scale data processing frameworks and cloud infrastructure (e.g. AWS). </p>
</li>

<p> </p>
<div> </div>

Research Engineer (f/m/d)

<h3><strong>Who is Sonar?</strong></h3>
<p>Sonar enables organizations to ship agentic code with confidence. Code creation is abundant, but confidence is scarce. Our core platform, SonarQube, verifies over 750 billion lines of code every day, delivering agentic verification and governance for all code. Trusted by more than 7 million developers and 75% of the Fortune 100, including teams at Nvidia, ServiceNow, <span><a rel="noopener noreferrer ugc" href="http://Booking.com" target="_blank">Booking.com</a></span>, Goldman Sachs, AstraZeneca, and Ford Motor Company, Sonar enables organizations to reduce outages, improve security, and lower the cost and risk of agentic software development.<br /><br />Founded in Geneva and now headquartered in Austin, Texas, Sonar has a global team working across offices and hubs, including Silicon Valley, London, Bochum, Barcelona, Singapore, Tokyo, and the Washington, D.C. area. At Sonar, we’re enabling enterprises to build agentic software factories that can move quickly while maintaining the control, consistency and evidence required to ship with confidence.<span> </span></p><div><br /></div><h3><strong>Position description</strong></h3>
<div>
<p>At Sonar, we are seeking an innovative Research Engineer to join our Data &amp; Agentic team and pioneer the next generation of our code analysis and verification engines. You will be at the forefront of applying cutting-edge AI, advanced agentic workflow and static analysis techniques to complex source code. Your work will directly shape our core products—ensuring both AI-generated and developer-written code meets rigorous enterprise quality and security standards. If you are driven to turn state-of-the-art research into practical, high-impact solutions, this is the role for you.</p>
<p><br /><br /></p>
</div>
<div> </div>
<h2>What you will do</h2><ul><li><strong>Create &amp; Innovate:</strong> Actively participate in the conceptualization phase. Brainstorm novel ways to improve our products and provide immediate, practical feedback to steer exploratory research toward paths that are both impactful and engineering-feasible.</li>
<li><strong>Develop Agentic Workflows</strong>: Design, prototype, and validate intelligent agentic systems and automated workflows that facilitate writing clean code, identifying root causes of system issues, and remediating complex bugs and vulnerabilities.</li>
<li><strong>Develop Pragmatic Prototypes: </strong>Build hands-on prototypes that prove the viability and scalability of research concepts. Proactively identify engineering bottlenecks or scalability limits and propose effective mitigations early in the research phase.</li>
<li><strong>Evaluate &amp; Benchmark: </strong>Drive the rigorous evaluation of new product features. Construct high-quality datasets, define relevant success metrics, and implement comprehensive benchmarks leveraging Sonar’s existing IP alongside third-party and open-source AI tools.</li>
<li><strong>Engineer Data Pipelines</strong>: Build and manage robust data pipelines to gather, process, and version massive code-centric datasets required for training and evaluating specialized models at scale.</li>
<li><strong>Translate Prototypes to Products</strong>: Collaborate closely with engineering and product teams to integrate successful prototypes into Sonar's cutting-edge products, ensuring they meet the needs of our global user base.</li>
<li><strong>Communicate and Evangelize</strong>: Clearly articulate and document complex technical concepts and research findings to both technical and non-technical stakeholders.</li></ul>
<h2>Experience and qualifications</h2><p>Must have:</p>

<li>
<p>Advanced academic background in Computer Science, Machine Learning, or a related quantitative field.</p>
</li>
<li>
<p>Strong software engineering experience (minimum 2+ years in industry) with proficiency in Python and major modern programming languages.</p>
</li>
<li>
<p>Practical experience with modern agentic frameworks, software automation tools, and LLM architectures.</p>
</li>
<li>
<p>Experience of driving research projects from initial ideation to a demonstrable prototype with a high degree of autonomy.</p>
</li>
<li>
<p>Hands-on experience integrating third-party tools, program analysis frameworks, or open-source libraries into functional prototypes.</p>
</li>
<li>
<p>Proven experience in data handling: constructing high-quality datasets, defining objective success metrics, and building robust benchmarks for new solutions.</p>
</li>
<li>
<p>The ability to fast context-switch and maintain momentum across multiple concurrent, fast-moving research topics.</p>
</li>
<li>
<p>Excellent communication skills in English, with a talent for translating complex research findings into clear, actionable artifacts for product engineering squads.</p>
</li>

<p>Plus:</p>

<li>
<p>Background in static analysis: abstract syntax trees (ASTs), code security, bug detection, etc..</p>
</li>
<li>
<p>Familiarity with LLM techniques such as model fine-tuning, semantic search engines, etc.</p>
</li>
<li>
<p>Experience with large-scale data processing frameworks and cloud infrastructure (e.g. AWS). </p>
</li>

<p> </p>
<div> </div>

Sonarsource

Open jobs at Sonarsource

Research Engineer

AI Systems Engineer

AI Systems Engineer (f/m/d)

Research Engineer (f/m/d)

Research Engineer

Working for Sonarsource?

Featured companies