Senior Backend Engineer

AI Chopping Block; Berlin; Hybrid; EUR 90.000 - 130.000; Vollzeit

Benefits dieser Stelle

Ownership & impact

Team off-sites

Equity package

Dinner & Uber

Berlin office

Zusammenfassung

Peec AI is building the data plane for AI visibility, handling millions of chats, scrapes, citations, sources, and analytics. This role owns the systems behind that, not just APIs or tickets, focusing on reliability, cost, speed, and simplicity for the team.

The ideal candidate has 5+ years in backend/platform/infrastructure in production, deep TypeScript experience on Bun, and a track record with queues, retries, distributed locks, and observability, shaping architecture under real-world

Qualifikationen

• 5+ years of backend/infrastructure or distributed systems engineering experience in production.
• Deep hands-on TypeScript experience with Bun-based services.
• Strong understanding of queues, retries, rate limits, idempotency, distributed locks, webhooks, and failure handling.
• Experience operating systems under real production pressure: incidents, outages, escalations.
• Comfort with cloud-native infrastructure (GCP, Kubernetes, Cloud Tasks, Pub/Sub, Redis, Postgres, etc.).
• Ability to debug across layers: code, logs, metrics, queues, databases, deployment state.
• Product-minded judgement with awareness of customer/security/cost implications.

Aufgaben

• Own scraping, chat-processing, source-ingestion, and analytics infrastructure behind AI visibility.
• Improve reliability, cost, speed, and maintainability of backend systems.
• Debug outages, design better queueing models, ship TypeScript services, and document fixes for future engineers.

Kenntnisse

Backend infra

TypeScript

Distributed systems

Cloud-native

Observability

Tools

GCP

Kubernetes

Cloud Tasks

Pub/Sub

RabbitMQ

Redis

PostgreSQL

ClickHouse

Jobbeschreibung

About the role

Peec AI is building the data plane for AI visibility: millions of chats, scrapes, citations, sources, model responses, and customer-facing insights running through a fast-moving backend.

This role is for an engineer who wants to own the systems behind that. You will not just add endpoints or close tickets. You will make our scraping, chat-processing, source-ingestion, and analytics infrastructure more reliable, cheaper, faster, and easier for the rest of the team to reason about.

The best fit looks like someone who can debug a provider outage in the morning, design a better queueing model before lunch, ship a TypeScript service change in the afternoon, and write the postmortem or follow-up ticket clearly enough that the next engineer immediately knows what to do.

We are especially interested in people who have built or operated systems with real constraints: rate limits, flaky third-party APIs, queues, webhooks, retries, distributed locks, data migrations, observability gaps, customer pressure, and cost ceilings.

What we’re looking for

• 5+ years of backend, platform, infrastructure, or distributed systems engineering experience in a production environment.

• Deep hands-on TypeScript experience. We run TypeScript services on Bun, and we care about people who can design clean, reliable backend systems rather than only write application code.

• Strong understanding of queues, workers, retries, rate limits, idempotency, distributed locks, webhooks, and failure handling.

• Experience operating systems under real production pressure: incidents, provider outages, customer escalations, noisy alerts, slow dependencies, and incomplete data.

• Comfort with cloud-native infrastructure. Our stack includes GCP, Kubernetes, Cloud Tasks, Pub/Sub, RabbitMQ, Redis, Postgres, Firestore, ClickHouse, Prometheus, Grafana, and OpenTelemetry.

• Ability to debug across layers: application code, logs, metrics, queues, provider APIs, databases, network behaviour, and deployment state.

• Product-minded judgement. You can separate internal detail from customer-safe explanation, and you understand when a “small infra change” has customer, security, or cost implications.

• High ownership and low ego. We want people who take responsibility for ambiguous systems, ask sharp questions, and make the team better through clear thinking and kindness.

• A bias toward durable fixes. You do not stop at “restart the pod” if the real issue is retry amplification, missing backpressure, an unsafe parser assumption, or a provider limit we do not model.

Tech stack

• Languages: TypeScript, Python

• Runtime/frameworks: Bun, Elysia, Node-compatible services

• Cloud/infrastructure: GCP, Kubernetes, Cloud Tasks, Pub/Sub, Firebase/Firestore, Postgres, ClickHouse, Redis, RabbitMQ

• Observability: Prometheus, Grafana, OpenTelemetry, structured logging

• Product/data domain: LLM chats, AI search, source scraping, citation extraction, provider integrations, customer-facing analytics

• AI/model providers: OpenAI, Anthropic/Claude, Perplexity, Gemini, Google AI Mode / AI Overview, plus scraping/provider APIs around them

What we offer

• Exciting and challenging work with real impact and ownership at one of Europe’s fastest-growing Series A startups

• Regular team events and off-sites

• Aggressive equity compensation package

• Paid Dinner & Uber home when working late

• The most beautiful office space and work environment in Berlin