11 annunci per il ruolo di java application (recruiting in corso)

Senior Software Engineer (Java) - Remediation Agent
SonarSource —Ginevra, GE
- 100%
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- Master
- Python
6 ore
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- Inglese
- JavaScript
- HTML
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- Bilingue
- Inglese
- Java
Ingénieur IAM / SSO Senior (F/H/X)
Ekkiden —Ginevra, GE
- 100%
- Inglese
- Windows
- Java
Candidatura rapida
5 giorni
System Architect for GPS ART (f/m/d) 100%
Julius Baer —Zurigo, ZH
- 100%
- Inglese
- Java
- Master
Senior Consultant ServiceNow (all genders)
adesso Schweiz —Basilea, BS
- Part-time
- Inglese
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EPAM Systems, Inc. —Zurigo, ZH
- Gestionale
- Inglese
- Java
- Congedo parentale
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Digital Solutions SA —Ginevra, GE
- Part-time
- Oracle
- Conception de systèmes
- Manutenzione
Product Security Engineer
MLabs —Svizzera
- CHF 75’000 - CHF 85’000 all'anno
- 100%
- Remoto
- Oracle
- Java
- Competenze analitiche
Candidatura rapida
7 giorni
Test Automation Engineer (80-100%)
TWINT —Zurigo, ZH
- Parzialmente remoto
- Inglese
- Java
- Master
- Lavoro da casa
- Congedo parentale
1 ora
Test Architect (80–100%)
Lombard Odier & Cie —Ginevra, GE
- 100%
- Inglese
- Java
- JavaScript
1 ora

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Senior Software Engineer (Java) - Remediation Agent

SonarSource -
Ginevra, GE

Candidati adesso

Dettagli della posizione

100% | Orario di lavoro: 90-100%
6 ore fa

Qualifiche

Conoscenza lingue straniere
Java
Master
GitHub
Python

Descrizione completa della posizione

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 believe that simply reporting code issues is not sufficient. To truly level up the quality of the world's software, we must empower millions of developers to fix them automatically. With over 400,000 enterprises relying on our products, we hold a unique lever to shape how software is built.

Recent breakthroughs in AI have made autonomous remediation a reality, but one major hurdle remains: Trust. Generative AI makes mistakes, and enterprises cannot automate what they do not trust. This is where you come in. As a Senior/Staff Engineer, you will architect the backend for Verified Autonomous Remediation, a sophisticated Agentic workflow that doesn’t just generate code, but rigorously tests and validates it using Sonar’s analysis engine. You will tackle the hard engineering problems required to close the "Trust Gap."

What you will do

Architect the "Unified Remediation Engine". You will design the high-throughput decision logic that powers our remediation efforts. You will build the backend services that intelligently route requests between deterministic instant QuickFixes, LLM-based reasoning fixes, and complex Agentic flows.
Build Robust Agent Architecture. You will contribute to the Sonar Remediation Agent code, transitioning research concepts to a resilient, high-scale production service. You will implement self-healing workflows where the Agent iteratively fixes the code it produces until the build is green.
Solve the "Sandboxing" Problem. You will architect the secure execution environments required to run untrusted, AI-generated code. You will design the isolation layers that allow Agents to iterate on code improvements without compromising our infrastructure.
Engineer for Reliability & Safety. You will implement critical safety mechanisms, like Circuit Breakers to automatically reroute requests to the proper engine when acceptance rates drop. Crucially, you will own the cost/performance trade-off, ensuring our AWS architecture scales to millions of events without letting token costs spiral.
Act as a Technical "Force Multiplier". Beyond building systems, you’ll mentor the squad through design reviews and collaborate with the Research team to ensure our agent is not just state-of-the-art, but production-safe.

Experience and qualifications

Strong Backend & Cloud Expertise. You have 8+ years of experience building scalable resilient systems. You are strong in AWS architecture and know how to design for high availability and low latency with cost in mind.
Polyglot Ecosystem (Java & Python). You are comfortable operating in a hybrid environment: Java for deep integration with the Core Sonar analysis engine and Python for the AI/Agent reasoning layer. You should be strong in one and capable in the other. We make use of various LLM tools, and are looking for people not afraid of different languages.
Systems Thinking. You understand that "AI" in production is mostly "Systems Engineering." You know how to handle asynchronous event-driven architectures, manage queues, and design sandboxed execution environments to run untrusted code safely.
AI & LLM Integration. You have practical experience building applications that orchestrate LLMs (OpenAI, Anthropic, or hosted open models). You understand the backend complexity of RAG, context window management, and prompt engineering at scale.
Data-Driven Mindset. You care about the "Why." You want to build telemetry pipelines that distinguish between "Bad UX" and "Bad Code," focusing on the metrics that matter.

Additional comments

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

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 [email protected].

All offers of employment at Sonar are contingent upon the results of a comprehensive background check and reference verification conducted before the start date.

We do not currently support visa candidates in the US.

Applications that are submitted through agencies or third party recruiters will not be considered.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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