Returns aren't just inconvenient, they're quietly eroding the profitability and sustainability of retail brands. At 8returns, we turn the costly chaos of e-commerce returns into streamlined, data-driven profit.
We've been trusted by some of the fastest-growing European DTC brands like OACE, PEGADOR, and GOT BAG, and are now ready to scale our proven solution to larger retail brands—with iconic brands such as Fielmann, Tommy Hilfiger, and FILA already leveraging our platform. This is where you step in.
As a Solution Engineer at 8returns, you’ll own the technical solutions that make our platform seamless for merchants. You’ll build and maintain integrations, create automation and AI tooling to reduce onboarding time, and quickly resolve technical friction points. If you enjoy delivering pragmatic solutions and thrive at the intersection of product, customers, and technology, this role is for you.
3+ years of experience developing and maintaining production integrations or middleware (APIs, webhooks, job queues).
Proficiency in at least one server-side technology stack (Node.js/TypeScript, Ruby/Rails, or Go), with the flexibility to learn others as needed.
Strong understanding of REST APIs, authentication methods (JWT/HMAC), background job systems (e.g., BullMQ, Sidekiq), and data mapping techniques.
Demonstrated ability to communicate effectively with customers and resolve technical issues efficiently.
Proven capability to independently progress from identifying a vague problem to delivering a robust solution.
Experience or interest in integrating AI tooling (OpenAI function-calling, RAG, LangChain) to automate routine tasks.
Background in e-commerce, logistics, or SaaS integration.
Familiarity with Rails and React
Ship integrations end‑to‑end between the 8returns API and external systems such as ERPs, 3PLs, carriers, and merchant platforms.
Develop reusable middleware and connector tooling, automating repetitive integration tasks.
Provide technical support during merchant onboarding, answering queries asynchronously (Slack, email) and occasionally joining calls to resolve complex issues.
Experiment with and implement AI-driven solutions and Model Context Protocols (MCPs)
Quickly diagnose and fix customer-facing technical issues
Collaborate closely with Engineering, Customer Success, Sales, and Product teams to identify priorities, streamline processes, and deliver impactful solutions.
We foster an async-first, low-meeting, high-ownership culture.
Ownership of a greenfield integration platform with direct impact on revenue.
Competitive salary, VSOP options, and flexibility to choose appropriate tools.
Flexible remote work with initial onboarding weeks in Berlin.
Work within a lean, profitable, product-focused team dedicated to solving real problems.
We believe great hiring is about mutual fit, not hoop-jumping. Our process is straightforward, focused, and respectful of your time—no take-home tasks, no unnecessary steps.
Intro Call (20 min)
Technical Deep Dive (45–60 min)
Case Interview (60-90 min)—a collaborative session (not a test)
Meet the Team (optional)
Reference Checks (optional)
Offer!
If this sounds exciting, we’d love to talk to you!!
Apply Now