Sonarsource1mo ago

Software Engineer (Java) - Integrations & Agentic Workflows (f/m/d)

Bochum · BochumEmployee / Full-Timemid

EngineeringSoftware Engineer

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Quick Summary

Key Responsibilities

You communicate with clarity, seek alignment early, and view candid feedback as a tool for growth. AI-native mindset: You treat AI tools as collaborators — not oracles — validating their output,

Technical Tools

EngineeringSoftware Engineer

Who is Sonar?

Sonar is driving the future of agent-centric software development. As the leader in AI code review and verification, 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.

Position description:

At Sonar, we are the gateway between our products and the entire developer ecosystem. Our squad owns the "connective tissue" that over 400,000 organizations rely on to weave Sonar into their daily development lifecycle — deep integrations with DevOps platforms (GitHub, GitLab, Bitbucket, Azure DevOps) and a growing suite of third-party applications such as Jira and Slack.

We are entering a transformative era: the shift toward an Agentic SDLC, where AI agents and humans collaborate seamlessly to build better software. As a Software Engineer on this squad, you will help keep our high-scale integration infrastructure reliable and evolving, while beginning to explore how these same connective systems will serve the next generation of AI-driven workflows.

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.

Solid Backend Engineering (3+ years). You have a track record of building and maintaining backend systems. You write clean, testable code and care about getting the details right.

Java Proficiency. Java is our primary language. You are comfortable with the Java ecosystem and can navigate a large, established codebase effectively.

Cloud or Distributed Systems Fundamentals. You understand how services communicate in a distributed environment — REST APIs, message queues, async processing. You have hands-on experience with AWS (or equivalent cloud platforms) and are comfortable with deployment, logging, and observability basics.

Ownership Mindset. You don't just "take tickets." You own the delivery of your tasks, raise risks early, and ensure your work meets high quality standards before it reaches production.

Curiosity About AI and Agentic Systems. You are excited about where software development is heading. Experience with LLM APIs (OpenAI, Anthropic) is a plus, but genuine curiosity and a willingness to learn is what matters here.

Ownership and accountability: You feel responsible for the long-term health and correctness of what you ship, whether written by you or generated with AI assistance.

Collaborative by default: You communicate with clarity, seek alignment early, and view candid feedback as a tool for growth.

AI-native mindset: You treat AI tools as collaborators — not oracles — validating their output, understanding their limits, and using them to focus on higher-value design and problem-solving.

Pragmatic and incremental: You balance architectural excellence with the need to deliver value quickly and iteratively.

Languages: Java (Primary), Python (AWS CDK), TypeScript (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

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