Staff backend engineer - python & distributed systems | eu, remote

C&D Talent Advisory
Amsterdam, Netherlands
yesterday

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
€ 16K

Job location

Remote
Amsterdam, Netherlands

Tech stack

Adaptable Database Systems
API
Artificial Intelligence
Amazon Web Services (AWS)
Amazon Web Services (AWS)
Cloud Engineering
Data Architecture
Relational Databases
Software Debugging
Distributed Systems
Python
PostgreSQL
Azure
Software Engineering
AI Infrastructure
Large Language Models
Reliability of Systems
Generative AI
Backend
Event Driven Architecture
Build Management
Information Technology
Data Pipelines
Serverless Computing

Job description

As a Staff Backend Engineer, you'll design and build the core infrastructure powering intelligent decision-making across millions of insurance workflows. Working on the Core Backend team, you'll develop distributed services, scalable data models, APIs, and backend systems that transform fragmented data into explainable AI-driven decisions.

This is a high-ownership engineering role for someone who enjoys solving difficult backend challenges, building highly reliable systems, and shipping production software with real business impact. What You'll Do

  • Design and build scalable backend services using Python
  • Architect distributed systems and high-performance APIs
  • Develop data models and processing pipelines for large-scale AI applications
  • Build asynchronous workflows and cloud-native backend infrastructure
  • Improve system reliability, scalability, and observability
  • Design robust PostgreSQL data architectures
  • Collaborate closely with AI, Product, and Infrastructure teams
  • Participate in technical architecture decisions and engineering best practices
  • Continuously improve developer productivity and platform performance

Requirements

  • 8+ years of software engineering experience (exceptional 5+ year candidates with Staff-level impact are encouraged to apply)
  • Strong professional Python development experience
  • Excellent system design, architecture, debugging, and problem-solving skills
  • Experience building distributed backend systems
  • Hands-on experience with AWS, serverless technologies (Lambda, EC2), and cloud-native architectures
  • Experience with asynchronous processing and event-driven systems
  • Strong PostgreSQL or relational database expertise
  • Builder mindset with high ownership and the ability to drive projects independently
  • Excellent communication skills and comfort working in a fast-moving engineering environment
  • EU-based with existing work authorization

Nice to Have

  • LLM or Generative AI experience
  • Large-scale distributed systems
  • Platform Engineering or SRE background
  • AI infrastructure or ML platform experience
  • Top-tier product company or big-tech experience
  • Competitive programming or strong Computer Science background

Benefits & conditions

  • Competitive salary plus meaningful equity
  • Fully remote work across EU
  • Global engineering off-sites
  • Learning and development budget
  • Gym and wellness stipend
  • Mobile phone allowance
  • 20 days paid annual leave
  • Opportunity to build AI infrastructure transforming a $7T global industry
  • High-performing, collaborative engineering culture with exceptional technical talent

Build the backend systems powering the next generation of enterprise AI and help transform one of the world's largest industries...

About the company

When you apply, our AI-powered matching platform considers you not only for this opportunity, but also for other relevant roles across our network, one application can unlock multiple career opportunities. We only work with real companies hiring for live positions. If there's a strong match, we'll guide you through the process; if not, we won't ignore you. About the Company Our client is building the AI operating system transforming the global insurance industry. Their platform enables insurers to automate complex underwriting, claims, pricing, and operational workflows using production-grade AI systems that reason, decide, and act inside real business processes. Backed by leading investors and built by engineers from Facebook, Google, Palantir, Amazon, Uber, Mastercard, and McKinsey, they're redefining how enterprise AI supports critical decision-making at scale.

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