Lead/Senior FullStack Software Engineer with AI experience

N-iX is a global software development company founded in 2002, connecting over 2,400+ tech professionals across 40+ countries. We deliver innovative technology solutions in cloud computing, data analytics, AI, embedded software,IoT, and more to global industry leaders and Fortune 500 companies. Join us to create technology that drives real change for businesses and people across the world.

Client - Europe's largest online car marketplace with 30M+ monthly users across 18 countries - is investing in a next-generation Agentic Software Delivery platform. The goal: run autonomous engineering tasks at scale, starting with SDLC automation and expanding beyond. Humans steer, agents deliver.
This is greenfield work. A dedicated team will build an end-to-end platform on top of AWS, integrating with existing internal systems and delivery processes. The north star is 10–20% of JIRA stories flowing through fully autonomous delivery within 12 months.

We are looking for a mature, self-driven Full-Stack Engineer with AI experience who thrives in ambiguity and takes ownership without waiting to be directed. This is not a request-response role - the ideal candidate proactively identifies what needs to be done, picks it up, and drives it forward.
Beyond core engineering, a meaningful part of the role (~10%) involves engaging with internal delivery teams: understanding how they work today, where friction exists in their SDLC, and feeding those insights back into what's being built. Think of it as technical discovery embedded in engineering - not BA in the traditional sense, but the same curiosity and listening skills applied in a developer-to-developer context.
As the platform rolls out, the engineer will also act as advocate and coach, helping other teams understand and adopt the new tooling.

Must-Have Requirements:

• 5-7+ years of hands-on software engineering experience in full-stack environments.
• AI Tooling: hands-on experience with AI-assisted development tooling - e.g. Claude Code, GitHub Copilot, Codex, Cursor, or similar agentic coding tools. Candidates must show genuine enthusiasm for - and practical experience with - using AI agents in their development workflow.
• Strong full-stack fundamentals; comfortable owning significant pieces end-to-end across frontend and backend.
• Proven ability to work in a proactive, self-directed manner - identifies gaps, proposes solutions, and executes without waiting for detailed instructions.
• Strong communication skills in English (B2–C1); able to engage confidently with peer engineers across teams.

Technical Stack & Experience

The platform is being built on AWS. The application stack is likely Java (backend) and React (frontend), driven by the selection of Camunda as the workflow engine, which runs natively on the JVM, with React used to build a custom UI layer on top of Camunda's interfaces.
That said, the final technology choices are not fully locked - the team should be prepared to adapt (e.g. to Python-based orchestration) if a different engine is selected.

Required:

• Solid Java and React experience (primary stack).
• Practical experience with AWS (core services: Lambda, ECS, etc.).

Strong Plus:

• Workflow Engines: Experience with workflow or orchestration engines (e.g. Camunda, N8N, or similar).
• Camunda experience specifically is a significant advantage given the current architectural direction.
• Familiarity with AWS AI services; AWS AI Practitioner certification (AIF-C01) is a notable bonus.
• Exposure to cloud-native orchestration patterns and multi-agent system design.

Mindset & Soft Skills:

• Energized by the idea of changing how software gets delivered - not just a participant, but a believer.
• Forward-thinking: stays current with the AI/agentic tooling landscape and brings new ideas to the team.
• Comfortable with ambiguity and evolving requirements; can make pragmatic decisions when the path