Staff backend engineer - python & distributed systems | eu, remote
Role details
Job location
Tech stack
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...