Partner Engineer - Technology Partnerships

What you will do:

Act as the primary technical expert for Sonar’s technology partners, translating their capabilities into integration and GTM opportunities for Sonar.

Identify integration options between Sonar and its tech partners. Construct reference architectures. Assess feasibility of custom technical integrations with partners if necessary. Present partner integration requirements to Sonar’s Product Management and Engineering functions, and influence Sonar’s partner integration roadmap as required.

Design, architect, prototype, and demonstrate integration-based solutions with Sonar’s products and those from Sonar’s technical partners, including DevOps and CI/CD providers (e.g., GitHub, GitLab, Atlassian, Azure DevOps), IDE platforms (e.g., VS Code, JetBrains, Cursor, Cognition), agentic coding providers (e.g., Claude Code, OpenAI Codex, GitHub Copilot, Google DeepMind), and vibe coding platforms (e.g., Vercel, Replit, Lovable).

Evangelize these integrations by producing technical content, including integration guides, blog posts, and demos. Conduct joint webinars with partners and speak at industry and partner events.

Assist partners (and customers, as required) with integration deployments and implementations, facilitating interactions between partners and Sonar’s Product Management and Engineering functions.

Experience and qualifications

5+ years of experience working in a partner-facing or sales-facing technical role, such as Partner Engineering, Solutions Engineering, Sales Engineering, or Developer Advocacy. .

Strong understanding of (and passion for!) agentic software development, including MCP and CLI integration methods and plugin models for leading agentic code providers (e.g., Claude Code, OpenAI Codex, GitHub Copilot, Cursor and Cognition).

5+ years of experience in software engineering with the ability to architect, design and develop software in languages such as Java, TypeScript/JavaScript, Python, or Go. Proficiency with REST APIs, GraphQL, webhooks, and authentication standards (OAuth, SAML), including experience designing or consuming complex APIs is a strong plus

Practitioner proficiency with DevOps and CI/CD tools (e.g., GitHub, GitLab, Atlassian, Azure DevOps, Jenkins) and IDE platforms (e.g., VS Code, JetBrains), particularly with respect to their integration and plugin frameworks.

Familiarity with AI/ML platforms (e.g., Databricks, AWS Bedrock, AWS SageMaker, Google Cloud Vertex AI, and Azure AI Foundry) including experience with marketplace listings, partner directories, and positioning developer tools within cloud-native AI workflows is a plus.

Strong written and verbal communication skills, with the ability to create compelling technical content and explain complex integration architectures to both business and technical stakeholders. Demonstrable track record of thought leadership through published content and speaking engagements.

Strong business acumen, and adept at discussing go-to-market strategy with business leaders