Senior Full-Stack Engineer (Python/Django + Vue.js)

About the role

Important: You must be based in Berlin for this role. We offer flexibility to work from home, but this is not a remote-from-anywhere position. Hivebuy is a Berlin-based B2B procurement SaaS transforming how companies manage purchasing, approvals, orders, invoices, budgets and suppliers. We’re building much more than a CRUD application. Our platform combines complex procurement workflows, multi-tenant architecture, ERP and accounting integrations, real-time functionality and increasingly AI-powered workflows. We’re looking for a Senior Full-Stack Engineer with a strong backend focus to help us build and evolve this platform. We’re looking for a T-shaped engineer: someone with deep backend expertise who is also comfortable following a feature across the entire stack. You don’t need to be equally strong in Django and Vue, but you should be willing and able to understand, change and ship both. Our core stack includes Python, Django, PostgreSQL, Redis, Celery, Elasticsearch, Vue 3, TypeScript and AWS. We run our services on ECS Fargate, manage infrastructure with Terraform, and use Prometheus, Grafana, Sentry and CloudWatch to understand what’s happening in production. AI coding agents are a normal part of how we develop software. We believe they make strong engineers significantly more effective, but they also make judgment, verification and ownership more important, not less. Tasks Own features end-to-end. Understand the problem, challenge requirements when necessary, design the solution, implement it, test it, deploy it and verify that it actually works in production. Design and build backend services and APIs using Python, Django and Django REST Framework. Work with PostgreSQL, Redis, Celery and Elasticsearch to build reliable, scalable application and background-processing workflows. Work across the stack when necessary, implementing and debugging functionality in our Vue 3 + TypeScriptfrontend. Build and maintain integrations with external systems such as ERP/accounting platforms, authentication providers, billing systems, Slack and Microsoft Teams. Work on our growing AI-powered product features and help us integrate LLMs responsibly into production workflows. Investigate production issues across the complete system, from browser to API, background workers, databases and infrastructure. Write meaningful automated tests using tools such as pytest, Vitest and Playwright. Improve performance, reliability, monitoring and deployment safety. Participate in architecture discussions and make technical decisions that keep the system maintainable as we grow. Review code and help maintain a high engineering standard across the team. Identify technical improvements proactively. If you see a bad pattern, flaky test, slow endpoint, missing metric or repetitive manual process, we expect you to improve it or make it visible. Use AI coding agents as part of your engineering workflow for implementation, investigation, testing, review and understanding unfamiliar parts of the system. Communicate proactively in our distributed working environment, document important decisions and surface blockers and risks early. For us, “done” does not mean “PR merged.” Done means the change is running in production, works as intended and has been verified. Requirements Strong professional experience building and operating production systems with Python and Django, ideally Django REST Framework. Deep understanding of PostgreSQL, including data modelling, migrations, query performance, indexing and diagnosing database-related production issues. Experience designing and evolving asynchronous and distributed workloads, ideally with Celery and Redis, including retries, idempotency, failure handling and long-running tasks. Strong understanding of software architecture and system design. You can make pragmatic architectural decisions, explain the trade-offs and evolve existing systems without unnecessary rewrites. Experience owning featur

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