Senior Backend Engineer (Python & TypeScript, Microservices & Data Pipelines)

EquiMatch GmbH; Berlin; In loco; Vertraulich; Tempo pieno

Vantaggi offerti da questo lavoro

Meaningful ownership of core systems

Remote-friendly culture

Budget for learning, conferences, and硬

Descrizione del lavoro

EquiMatch GmbH is seeking a Senior Backend Engineer to own distributed Python and TypeScript services. You will split time between Python pipelines and Encore-based TypeScript services, shaping technical direction and production-grade reliability.

You will design APIs, build data pipelines, optimize PostgreSQL queries, and integrate LLM APIs. The role emphasizes observability, cost-efficiency, and mentoring peers in a pragmatic AI-enabled workflow.

Competenze

• 6+ years of professional backend experience.
• 4+ years of Python in production.
• 2+ years of backend TypeScript/Node.js experience.
• Strong microservice, API design, and observability background.
• Experience with PostgreSQL, data pipelines, and async processing.

Mansioni

• Design, build, and operate Python and TypeScript microservices.
• Build and maintain data pipelines and enrich/score data.
• Model data, optimize queries, and ensure performance.
• Integrate LLM APIs and ensure observability and reliability.
• Own features end-to-end from spec to monitoring.

Conoscenze

Backend engineering

Python production

TypeScript/Node.js

Distributed systems

AI-powered workflows

Strumenti

PostgreSQL

Prefect

NSQ

Docker

FastAPI

NSQ/Celery/RabbitMQ

Descrizione del lavoro

EquiMatch is an AI-powered M&A origination platform connecting private equity firms, search funds, corporate development teams, and M&A advisors with acquisition targets. Behind the product is a data-heavy platform: web crawlers, LLM-driven company analyzers, scoring pipelines, a unified mailbox service, and CRM integrations — orchestrated across dozens of Python and Node.js microservices.
We’re looking for a Senior Backend Engineer who is strong in Python, solid in TypeScript, and used to owning distributed systems in production. You’ll split your time between Python services and pipelines and TypeScript services built on Encore, and you’ll be expected to set technical direction, not just execute on it. We value engineers who use AI daily to move faster and build better.

Tasks

• Design, build, and operate Python and Node.js (TypeScript/Encore) microservices: define service boundaries, APIs, data flows, and integrations.
• Build and maintain data pipelines — crawling, enrichment, company analysis, scoring — orchestrated with Prefect.
• Model data and optimize queries on PostgreSQL (schema design, migrations, indexing, query performance).
• Work with asynchronous messaging (NSQ) and background job queues to build resilient, idempotent processing.
• Integrate LLM APIs into production workflows (extraction, classification, summarization) and make them reliable, observable, and cost-efficient.
• Own features end-to-end: requirements, technical design, implementation, testing, deployment on Railway, and monitoring.
• Improve observability and performance across services and LLM calls: tracing, metrics, slow-query analysis, failure-rate monitoring.
• Drive architecture decisions, write technical designs, and mentor other engineers through reviews and pairing.
• Contribute to automation (n8n) and internal tooling where needed.

Requirements

• 6+ years of professional backend experience, with at least 4 years of Python in production.
• 2+ years of professional TypeScript/Node.js experience building backend services (Encore, NestJS, Fastify, Express, or similar).
• Deep experience with modern Python tooling: async/await, type hints, FastAPI or similar, Pydantic, pytest.
• Strong command of microservice architecture: service decomposition, API design, resiliency, idempotency, observability.
• Production experience with PostgreSQL — schema design, migrations, query optimization.
• Experience with message queues or workflow orchestration (Prefect, Celery, NSQ, RabbitMQ, Kafka, or similar).
• Track record of owning systems end-to-end in production, including incidents and performance work.
• Habitual use of AI tools in day-to-day development; ability to apply AI effectively (prompting strategies, code/test generation, agentic workflows).
• Clear communication, ownership mindset, and a bias toward shipping.

Nice to have

• Encore experience specifically.
• Web scraping and crawling at scale: rate limiting, proxies, anti-bot handling, content extraction.
• Building products on LLM APIs: structured outputs, evaluation, prompt versioning, cost/latency tuning, MCP servers.
• LLM observability and evaluation tooling (LangWatch, Arize Phoenix, or similar).
• Observability stacks (Grafana, Tempo, OpenTelemetry).
• Analytics tooling (PostHog, ClickHouse).
• Docker and cloud deployment (Railway, AWS, GCP); Infrastructure as Code basics.
• Security best practices (OWASP, OAuth2/JWT, secrets management, GDPR-aware data handling).
• Experience with email/CRM integrations (IMAP, Gmail API, Microsoft Graph, HubSpot/Zoho).
• Familiarity with the M&A, private equity, or B2B data space.

Our stack

• Backend: Python microservices, Encore (TypeScript/Node.js) services
• Orchestration & messaging: Prefect, NSQ, background job queues, n8n
• Data: PostgreSQL, ClickHouse (analytics)
• Infrastructure: Railway, Docker, GitHub Actions
• Observability: Grafana, Tempo, LangWatch, Arize Phoenix (LLM tracing & evaluation)
• Analytics & tooling: PostHog, Linear, internal skills/MCP system
• AI: LLM-assisted development workflows, LLM APIs in production, MCP integrations

Benefits

• Meaningful ownership of core systems in a small, senior team
• Direct impact on a product used by PE firms and M&A professionals
• Support for AI-enhanced workflows and tooling
• Budget for learning, conferences, and hardware
• Flexible hours and remote-friendly culture