Andercore is the AI-native supplier of industrial materials and goods for energy and infrastructure. We execute trade and distribution end-to-end, on our own account, at the speed of compute - and we are becoming the supplier of record for the entire industry.
Industrial procurement is a €900B market in Europe alone and the largest manual market on earth. 95% of customers have no direct access to global supply chains. Materials pass through four or five intermediaries before they reach a site, and 40% of the margin evaporates on the way. For decades, the operating system of this industry was people: people to source, negotiate, finance, ship, and sell.
We built the alternative from scratch. We are the supplier. We buy from global sources and sell to European customers on our own account. Our AI runs the full trade: sourcing, quality, pricing, sales, logistics, credit, and financing. One request. A firm quote in minutes. Delivered on time. For the customer, it feels like buying from their preferred local supplier. No warehouses. No fleet. No inventory risk. Every trade is pre-sold before it is bought.
We are also the credit counterparty. Customers are scored and insured in minutes and get up to 60 days of payment terms priced into the quote itself. The working capital behind every trade is bank-funded, not equity-funded.
Where we are today:
Strong triple-digit-million euro turnover run rate, the majority of it from repeat customers
Seven European markets live, sourced from suppliers across Asia and beyond
80+ people across Berlin (HQ), London, and Shanghai
$90M raised in equity and debt, including our $40M Series B, from Atomico, Project A, Target Global, and Inven Capital - with working capital facilities from UniCredit and KfW
The margin is in the bits. The moat is in the atoms. We are building the supplier of record for industrial materials - and redefining how global trade works in one of the largest and most essential industries on earth.
About the role
Andercore runs global trade end to end, from sourcing and pricing to sales, logistics and financing, and AI agents do a growing share of that work. Order values are high and prices and stock change daily, so the systems underneath have to be fast, correct and reliable at all times.
As a Staff Engineer, you own our hardest technical problems and set the architecture across teams. You focus on what a fast-growing trading business cannot afford to get wrong: speed, reliability, security and observability. You report to our VP Engineering and work closely with our Senior Product Engineers, QA and product managers. You stay hands-on: you write code, review designs and raise the bar for everyone around you
Tech stack
Java 21 and Spring Boot 3, Python, LangGraph and LLM APIs (OpenAI, Anthropic, Gemini), PostgreSQL, Kinesis, AWS with Terraform, GitHub Actions, and TypeScript with Node.js, Next.js and React. Including Salesforce, which we are moving our transaction core out of.
What you will do
Set the technical direction across teams: define the target architecture, write the RFCs behind big decisions, and make sure teams build towards the same picture.
Lead the hardest technical work yourself, from design to production, instead of only advising on it.
Shape the carve-out of our transaction core from Salesforce into a modern, modular core system, with a migration path that never disrupts daily trading.
Make reliability, security and observability part of how we build: monitoring, alerting, incident response and postmortems that lead to real changes.
Design how our AI agents act safely on money-touching paths, with evaluations, guardrails, audit trails and human review where it matters.
Set standards for correctness and data integrity, including idempotency, validation and testing, together with QA.
Mentor engineers through design reviews, pairing and direct feedback, and help us hire by defining what great engineering looks like at Andercore.
In your first six months, you might
Design the architecture of our pricing engine so it scales with a growing assortment and more markets, and serves correct prices to sales, and later directly to customers, in milliseconds.
Lay out the target architecture and first steps for moving our transaction core off Salesforce.
Build the observability and incident setup that lets us catch problems before customers or colleagues notice them
What you bring
At least 8 years of experience building and running software in production, including systems where errors cost real money.
Deep backend expertise at production scale in Java or a comparable language such as Kotlin, C# or Go, and willingness to work in Java and Spring Boot.
A track record of setting architecture across several teams, through influence rather than a management title.
Experience designing transactional, distributed and event-driven systems, with a strong focus on correctness, failure modes and performance.
Hands-on depth in reliability, security and observability, and experience leading incidents and postmortems.
Experience in a fast-growing company, and a track record of solving business problems, not only technical ones.
AI is part of your daily work. Experience building or evaluating AI agents in production is a strong plus.
Experience with re-platforming or carving out systems from a platform like Salesforce or an ERP is a plus
Practical details
Location: Berlin, hybrid
Working language: English
A learning budget for your development
Start date: As soon as possible
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.
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