Andercore is the AI-native supplier of industrial materials for energy, infrastructure, and construction in wholesale and beyond.
We trade with global suppliers and distribute to European customers on our own account. Our AI runs the full trade and distribution end-to-end: sourcing, quality, pricing, sales, logistics, and embedded financing. For the customer, it feels like buying from their preferred local supplier; for our partners, it is the most convenient and safe way to do business across borders. Behind it, our software and agentic AI do the heavy lifting that used to take an asset-intensive supply chain with four or five intermediaries and weeks of manual coordination.
Where we are today:
Strong triple-digit-million euro turnover
Seven European markets live
80+ people across Berlin (HQ), offices in London, Mumbai, and Shanghai
$40M Series B just closed, $75M raised to date from Atomico, Project A, and Inven Capital, institutional financing from international banks.
We are building the world's first and last industrial-grade AI operating system for materials, redefining how global trade works in one of the largest and most essential industries on earth.
As a Senior Backend Engineer, you will be a technical anchor across the team — expected to lead by example, shape architecture decisions, and raise the quality bar for everything we ship. You will operate with a high degree of autonomy while staying deeply embedded in collaborative engineering culture.
Tech Stack: Java 21 (Spring Boot 3), Python, LangGraph, LLM APIs (OpenAI, Anthropic, Gemini), PostgreSQL, Kinesis, AWS, Terraform, GitHub Actions, Node.js, TypeScript, Next.js, React.
What you will doTake ownership of complex backend systems from design through production — including architecture, implementation, and long-term maintenance.
Lead technical discussions, drive engineering decisions, and document trade-offs clearly for the team.
Mentor junior and mid-level engineers through code reviews, pairing sessions, and structured feedback.
Identify systemic weaknesses in our infrastructure, propose improvements, and execute on them with minimal direction.
Collaborate across engineering, product, and data to align technical direction with business goals.
Drive improvements to observability, reliability, and performance across our backend stack.
Contribute to hiring by participating in technical interviews and helping define the engineering bar.
7+ years of backend engineering experience, with a track record of owning critical systems in production.
Deep expertise in Java (Spring Boot) and strong familiarity with Python; comfortable navigating a polyglot codebase.
Proven experience designing distributed systems — event-driven architecture, microservices, data pipelines.
Strong command of PostgreSQL and experience working with cloud-native infrastructure on AWS.
Someone who has been through hypergrowth or scale challenges and has the scars and instincts to show for it.
A multiplier: you make the engineers around you better through your presence, feedback, and technical clarity.
Comfortable operating in ambiguity — you can shape requirements, not just execute on them.
We are an equal-opportunity employer and welcome applicants from all backgrounds, regardless of race, ethnicity, gender identity or expression, sexual orientation, religion, age, disability, or any other characteristic. We believe that diversity drives innovation, creativity, and collective strength.
Skills Required
- 7+ years of backend engineering experience
- Deep expertise in Java (Spring Boot)
- Strong familiarity with Python
- Experience designing distributed systems
- Strong command of PostgreSQL
- Experience with AWS cloud-native infrastructure
What We Do
The company is the AI-driven trade platform transforming industrial supply in infrastructure, energy, and construction materials. It connects vetted suppliers across Asia, Europe, and the GCC region with local demand through a single integrated platform. Its proprietary AI stack digitizes and automates the full lifecycle of materials trade — from procurement and pricing to inventory, logistics, and embedded financing — replacing thousands of manual, relationship-driven processes with real-time orchestration. Buyers gain instant quotes, reliable availability, and predictable delivery through a unified operating system. Suppliers benefit from accurate forecasting, disciplined demand management, and seamless integration into cross-border fulfillment networks. The company partners with leading brands to run both dropship and cross-dock fulfillment motions for large-scale transactions, turning global supply chains into predictable, repeatable, software-like workflows. Backed by top-tier investors and institutional financing partners, the company has scaled to triple-digit-million GMV, operates across six international markets, and is rapidly expanding toward profitability. With a team of 80+ people across Berlin (HQ) and Asia, it is building the world’s first industrial-grade AI operating system for materials — redefining how global trade works in one of the world’s largest and most essential industries.
