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Software Engineer Backend

London
S

Sprout.ai

Startup
Category
Technical
Experience
4-7 years
Type
Full-Time
Location
London
Salary
$65,000 - $80,000
Job Description
Benefits & Culture
Share Options
Annual leave
Hybrid working
Private Health Insurance
Dental Insurance
Core Values
Hungry for Growth
Own It, Deliver It
Seed Innovation
Collaborate to Blossom
This goes straight to the founder
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Founder Signals
Response Rate
85%
Avg Response Time
2 hours
Compensation Calculator
In startups, higher salary usually means lower equity.
Salary (affects equity %)
Link salary ↔ equity
$125,000
$65,000$80,000
Equity % (auto from trade-off model)
0.51%
0%5%
Projected Exit Value
$350,000,000
$10M$500M
Live Trade-off
Salary
Equity %
Est. Equity Value at Exit
$100,000
0.51%
$892,500
$125,000
0.51%
$892,500
$150,000
0.51%
$892,500
$175,000
0.51%
$892,500

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About our Engineering Team

As a business which has AI at its core, we need to have a reliable, scalable and secure real-time ML platform to deliver our product to customers. The Engineering team makes this happen. Our engineers are responsible for all aspects of the software development lifecycle. You will get the opportunity to work across our entire stack building features which deliver AI capabilities to some of the biggest names in the insurance industry. We are developing a modern real-time ML platform using technologies like FastAPI, PyTorch, Ray, k8s (helm + flux), Terraform, Postgres, Flink on AWS, React & Typescript. We operate a fully Python stack except for frontend and infrastructure code. We are very big fans of Infrastructure-as-Code and enjoy Agile practices. Our team is tackling several exciting challenges, including:

  1. Deploying all changes, including complex machine learning models, reliably to customers within 15 minutes
  2. Building a real-time, configuration-driven platform that seamlessly adapts to diverse customer needs
  3. Ensuring autoscaling and cost-efficient model serving in production, with robust support for ML monitoring and experimentation
  4. Centralised reporting/metrics for both the business and our customers
  5. Powering user experience of internal and external users through agentic workflows

Role Summary

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

Responsibilities

  1. Collaborate with Engineers, Product Managers, and the Engagement team to understand problem spaces, contribute to solution design, and support the development of our product.
  2. Take responsibility for maintaining and improving parts of our backend stack, following engineering best practices.
  3. Write robust and well-tested code, including unit, integration, and end-to-end automated tests for backend services that power customer-facing features.
  4. Participate in code reviews, share feedback with peers, and stay informed about emerging backend technologies and patterns.
  5. Contribute to platform-related work, using infrastructure-as-code tools (AWS, Terraform, Kubernetes) to help keep our systems reliable and scalable.
  6. Support the growth of the team by sharing knowledge and collaborating closely with engineers and data scientists.
  7. Help improve engineering workflows and contribute ideas for refining team processes and delivery methods.
  8. Play a role in feature rollouts by using feature flags, monitoring metrics, and responding to logs and alerts.
  9. Embody and promote the Engineering and Sprout company values in your day-to-day work.

Requirements

Technical proficiency

  • Solid proficiency in software architecture using Python and FastAPI.
  • Experience working in fully cloud-hosted environments (e.g. AWS).
  • Solid RDBMS experience, preferably with PostgreSQL
  • Experience building RESTful APIs (e.g. FastAPI) and real-time data processing pipelines
  • Bonus points for experience with Kubernetes, Apache Flink, Flux or Infrastructure-as-Code frameworks (e.g. Terraform). Experience of maintaining your own code in a production environment.A good foundational understanding of modern software development lifecycles, including code quality, pull requests, code reviews, CI/CD, QA, and production releases in an agile, fast-paced environmentStrong problem-solving skills with the ability to think critically and creativelyCollaborative by nature, with excellent communication and teamwork abilitiesSelf-motivated, with a strong sense of ownership and accountability