Senior Backend Engineer

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Cytora

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Cytora is the configurable platform that enables commercial insurers to create digital workflows by digitising, evaluating and routing risks.

Machine Learning • Artificial Intelligence • Commercial Insurance • Commercial Underwriting • Risk Modelling

51 - 200 employees

💰 Series B on 2019-04

📋 Description

• We are a high-growth Series-B InsurTech start-up using data and machine learning to revolutionize the insurance industry. • You will be joining a strong and mission driven team, working to build a customer facing product that fundamentally changes the way insurers evaluate risk, enabling them to move from highly manual workflows to digital risk flows. • Cytora’s Risk Stream is a serverless and cloud native SaaS platform that automates the digitisation, evaluation and decisioning of risks for commercial insurers. • Our product drastically improves the working lives of our users, enables our customers to cover more risks, more competitively. • As backend engineer at Cytora, you will be joining a backend functional team. • Each team has a technical lead and a product owner steering the team to make sure we deliver the right features. • Regardless of team you join, you will be prototyping, implementing, shipping and supporting features that are changing the insurance industry. • The core of our product is to digitize risks and to accomplish that we rely heavily on Generative AI. • Our engineering and product teams are distributed across Europe.

🎯 Requirements

• Git (we use GitHub) • Python (buzzwords: msgspec, httpx, pydantic, fastapi, structlog, sqlalchemy, alembic, jinja2, pytest, ruff, mypy) • Mypy (we use mypy, a lot. We also welcome candidates with experience with other static type checkers!) • Rest APIs • Relational Databases (we use Postgres) • Docker (we use Docker to package our code, and docker-compose to run it locally) • AWS, and more specifically with: • AWS S3 • AWS Lambda (The vast majority of our backend code is deployed as AWS Lambda functions) • AWS API Gateway • AWS SQS • AWS SNS • AWS STEP Functions • Redis • GCP, and more specifically with: • GCP BigQuery (we use it to power our analytics) • OCR engines (we use AWS Textract, GDocAI, and we have used tesseractOCR in the past) • Prompt Engineering • Weaviate (we use it for RAG in LLM powered tasks and for hybrid searches) • Kubernetes (we run Weaviate and other specific services* on Kubernetes) • CircleCI • DataDog • Auth0 (we use it, but we would rather not have to :face_exhaling:) • Role Based Access Control • JsonSchema • Pusher (we use it to push notifications to our Frontend Web App) • LocalStack (we use it to mock AWS services locally) • Terraform

🏖️ Benefits

• Stock options • Enhanced parental leave • Private health insurance - UK only* • Choice of laptop • Flexi-working • £2000 travel budget • Company trips