Location: Berlin (On-site, 5 days – flexibility expected longer term)
Type: Full-time | Permanent
The Role
We’re partnering with a high-growth, AI-led platform reshaping global industrial supply chains across infrastructure, energy, and construction materials.
Having already scaled to triple-digit-million GMV and recently secured Series B backing, the company is building an AI-native operating system that transforms fragmented, manual trade processes into automated, intelligent workflows.
As a Tech Lead, you will sit at the intersection of architecture, execution, and leadership — owning backend systems at a strategic level while guiding engineers and setting the technical direction for the team.
Key Responsibilities
- Own the architecture and evolution of core backend systems in a distributed, event-driven environment
- Lead technical direction across projects, ensuring scalability, reliability, and long-term maintainability
- Act as the primary technical decision-maker within your domain, clearly articulating trade-offs
- Mentor and develop engineers, raising the overall quality and output of the team
- Drive best practices across system design, testing, observability, and performance
- Partner closely with product and data teams to align engineering with business outcomes
- Identify technical risks early and proactively implement solutions
- Play a key role in hiring and shaping the engineering culture
Tech Environment
AI / Agentic Layer:
LLM APIs (OpenAI, Anthropic, etc.), LangGraph-style workflow orchestration, AI-assisted engineering practices
Frontend (exposure beneficial):
TypeScript, Node.js, React
Skills & Experience
- 9+ years in backend engineering, with clear progression into technical leadership
- Strong expertise in Java (Spring Boot) and solid working knowledge of Python
- Proven experience designing and scaling distributed systems (microservices, event-driven architectures)
- Deep understanding of cloud infrastructure (AWS) and data systems (PostgreSQL)
- Experience leading teams or acting as a technical authority on complex systems
- Strong communication skills — able to align stakeholders and influence technical decisions
- Comfortable in ambiguity, with the ability to define and shape technical solutions
Nice to Have
- Experience with agentic AI systems or workflow orchestration frameworks
- Exposure to production LLM integrations
- Familiarity with AI-assisted coding environments and modern developer tooling
What’s on Offer
- True ownership over architecture and technical direction
- Opportunity to lead within a high-growth, AI-native business
- Complex, real-world problems at global scale
- Strong engineering culture with high autonomy and accountability
- Backed company with clear trajectory toward profitability
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