Senior Backend Engineer, Sprout.ai

£74-104k

+ Share options

React

AWS

Kubernetes

TypeScript

Python

Postgres

Terraform

PyTorch

Flink

Keep

flux

FastAPI

Senior level

London

1-2 days a week in office

Fraud filtering & claims automation for insurance

Job no longer available

Fraud filtering & claims automation for insurance

21-100 employees

B2BArtificial IntelligenceInsurance

Job no longer available

£74-104k

+ Share options

React

AWS

Kubernetes

TypeScript

Python

Postgres

Terraform

PyTorch

Flink

Keep

flux

FastAPI

Senior level

London

1-2 days a week in office

21-100 employees

B2BArtificial IntelligenceInsurance

Company mission

To unlock the future of insurance, solving fraud detection and claims automation, while empowering insurers to deliver amazing customer experiences.

Job

Company

Role

Who you are

We are looking for an engineer passionate about developer enablement and infrastructure as code, who is eager to expand their expertise by contributing to impactful product features
You'll play a key role in improving the lives of millions of insurance policyholders globally, working with a modern and powerful technology stack that includes:
Python for application development
Terraform for AWS infrastructure provisioning
Kubernetes (with Helm and Flux) for managing services
GitLab for CI/CD and version control
AWS as our infrastructure platform
PostgreSQL for application data and event sourcing architecture
Apache Flink for real-time service interactions and state management
Strong experience working in fully cloud-hosted environments (e.g., AWS) along with Infrastructure-as-Code frameworks (e.g., Terraform) and Kubernetes
Strong proficiency in software architecture using Python or similar backend programming languages
Solid RDBMS experience, preferably with PostgreSQL
Experience building RESTful APIs (e.g. FastAPI) and real-time data processing pipelines
Bonus points for experience with Apache Flink and Flux
Deep understanding of modern software development lifecycles, including code quality, pull requests, code reviews, CI/CD, QA, and production releases in an agile, fast-paced environment
Strong problem-solving skills with the ability to think critically and creatively
Collaborative by nature, with excellent communication and teamwork abilities
Self-motivated, with a strong sense of ownership and accountability

What the job involves

As a team, we're driven by a relentless focus on delivering real value to customers at speed
We embrace modern engineering practices such as automated testing, continuous monitoring, feature flags, and on-demand production-like environments to support frequent, reliable releases
Deploying all changes, including complex machine learning models, reliably to customers within 15 minutes
Building a real-time, configuration-driven platform that seamlessly adapts to diverse customer needs
Ensuring autoscaling and cost-efficient model serving in production, with robust support for ML monitoring and experimentation
Centralised reporting/metrics for both the business and our customers
Work with different stakeholders across the business like engineers, product, engagement team to understand a problem space within your area, propose solutions, and own the end to end delivery of complex projects
Own and maintain specific parts of our stack with best in class engineering practices
Write comprehensive unit, integration and end-to-end automated tests in the backend for customer-facing features
Lead on platform-facing work, using infrastructure-as-code (AWS, terraform, k8s) to ensure our platform is reliable and scalable
Take a lead in code reviews, provide constructive feedback, and keep to date with latest trends in the industry
Provide mentoring to other members of the Engineering and Data Science teams
Lead in the continuous improvement of the processes and ways of working for the engineering team
Manage feature rollouts with multiple releases per day by utilising feature flags, metrics, logs and alerting
Champion the Engineering and Sprout company values

Salary benchmarks

Our take

Sprout.ai is a claims automation solution harnessing the power of contextual AI to revolutionise the insurance claims experience for global insurers and their consumers. It aids decision-making and helps triage and process claims better and faster, reducing processing time from weeks to hours.

The huge time saving it offers has helped the company attract attention from a number of large insurers across the world, including Zurich. It now has deployments across three continents, including Europe, South America and APAC. Sprout.ai’s technology is an industry first bringing much needed modernity to an industry that has classically been slowed down by workflow problems and stunted communication.

Kirsty

Company Specialist at Welcome to the Jungle

Company

Funding (last 2 of 6 rounds)

Mar 2024

$1.8m

EARLY VC

Oct 2023

$7.4m

EARLY VC

Total funding: $23.8m

Company benefits

Flexible working
Equity

Company HQ

London, UK

Leadership

Roi Amir

(CEO)

Previously Vice President Of Engineering at Tractable, CTO then CCO at Zift Solutions, and Director of R&D at NICE Systems.

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