Senior Backend Engineer - Data Platform (m/f/d)

tl;dr

We're looking for a Senior Backend Engineer to own the development of core data enrichment, ingestion, and retrieval systems powering GlassDollar’s AI-driven search and startup registry.

Your timezone should be between UTC and UTC+2.

what we´re looking for

• Product-First Background:Experience working within a product team and with business stakeholders, making technical decisions grounded in real user and business impact.
• Experience: 4+ years in backend engineering roles, building and owning systems that process and serve data at scale.
• Technical Skills: Strong proficiency in NodeJS, TypeScript, relational databases, LLMs, and ETLs.
• Problem-Solving Mindset: Skilled in architecture trade-offs, balancing delivery speed with quality, and delivering incremental value.

Bonus:

• Ecosystem Knowledge: Experience working in or with domains such as startup partnering, venture capital, M&A, or corporate procurement.

what you`ll do

• Design, build, and maintain scalable backend services using NodeJS and TypeScript.
• Own backend systems responsible for data ingestion and LLM-based enrichment.
• Own and evolve our in-house RAG-based search architecture.
• Work with Postgres and Prisma to ensure evolutionary data design, performance, and reliability.
• Act as a product engineer, understanding business problems and turning them into robust technical solutions with real impact.
• Take delivery ownership of major initiatives, including architecture decisions, trade-offs, and long-term scalability.
• Continuously improve observability, reliability, and performance of backend systems in production.

how we hire

• We respond within a week of receiving your application.
• Screening call (30 min): A relaxed conversation about your CV, experience, and how it matches our needs.
• Technical interview (2 hours): Open-ended discussion on tech topics and past projects, plus a simple 30-minute coding task.
• Team fit (45 min): An open chat with the team to see how we work together — no HR bullsh*t.
• Paid proof-of-concept task: A 2–3-day task focused on a realistic problem that demonstrates how you work with our domain and tech stack.