Software Engineer - Backend

Salary banding:

£55,000 - £75,000 dependent on experienceWorking pattern:

Hybrid; 1-2 days per week in the officeLocation:

London

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.The team is UK-based, with a significant contingent in London, and is made up of pragmatic, curious and collaborative problem-solvers who are passionate about working with our Data Scientists to build state of the art AI products. Our Software Engineers bring together a diverse range of expertise and backgrounds; what unites us is a desire to learn, a mastery of our discipline and strong technical prowess.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 and 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.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.Our team is tackling several exciting challenges, including:Deploying all changes, including complex machine learning models, reliably to customers within

15 minutesBuilding a

real-time, configuration-driven

platform that seamlessly adapts to diverse customer needsEnsuring autoscaling and

cost-efficient

model serving in production, with robust support for

ML monitoring and

experimentationCentralised reporting/metrics

for both the business and our customersPowering user experience of internal and external users through

agentic workflowsRole 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 developmentTerraform

for AWS infrastructure provisioningKubernetes

(with Helm and Flux) for managing servicesGitLab

for CI/CD and version controlAWS

as our infrastructure platformPostgreSQL

for application data and event sourcing architectureApache Flink

for real-time service interactions and state managementResponsibilities

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

Technical proficiencySolid proficiency in software architecture using Python and FastAPI.Experience working in fully cloud-hosted environments (e.g. AWS).Solid RDBMS experience, preferably with PostgreSQLExperience building RESTful APIs (e.g. FastAPI) and real-time data processing pipelinesBonus 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 accountabilitySprout.ai Values

Hungry for Growth - Unleash your inner Sprout: Sprouts embrace growth, forget comfort zones, and help Sprout.ai thrive.Own It, Deliver It - We commit, we deliver, and we exceed expectations - it''s how we achieve outstanding outcomes for our customers.Seed Innovation - The future is shaped by those who dare to innovate. We embrace this mindset, planting the seeds for future growth, experimenting fearlessly and taking bold actions that unleash our ability to scale.Collaborate to Blossom - We cultivate collaboration, working together to create a vibrant and diverse ecosystem where every Sprout can thrive. It drives better results, and creates a better environment for us all.Engineering Values

In addition to our company-wide values, these are some of the values within the Engineering team that define how we work and grow together:Value-Driven Development - We avoid premature optimisation and focus on delivering value to our customers based on known requirements.Proactive Mindset - We embrace the philosophy of asking for forgiveness rather than permission, encouraging innovation and swift action.Efficient Decision-Making - We optimise towards faster decision-making processes, distinguishing between reversible (two-way doors) and irreversible (one-way doors) decisions.Equality of Opportunity - We strive to provide equality of opportunity for all team members, regardless of title or position, fostering a collaborative and inclusive environment.Compensation, benefits and perks

Salary banding: £55,000 - £75,000 dependent on experience. Annual pay reviews.Sprout.ai Share Options28 days’ annual leave (plus bank holidays)Hybrid working with 3 days per week working from homePrivate Health Insurance + Dental InsuranceLearning and Development budgetMonthly socials, both in London and VirtualWeWork perks - barista, social events, snacks etc.Macbook Pro + home working setupAbout Sprout.ai

Sprout.ai was established in London, UK in 2018 with a mission to help people in their time of need when making an insurance claim. Inefficient claims processing for the insurer meant that customer experience was suffering and people were losing faith in their insurance policies. The average insurance customer was having to wait over 25 days to receive an outcome on their claim, often in times of vulnerability.The barriers to rapid claims settlement were clear; understanding of unstructured data, complexity and volume of decision making, legacy systems and processes.Sprout.ai’s patented claims automation platform solves these challenges, and has already delivered instant claims settlement on millions of insurance claims around the world. Our proprietary AI products can automate every step of the claims journey: extracting and enhancing relevant claims data, cross-checking this with policies and providing recommendations to conclude a claim in near real-time. Our tools are allowing claims handlers to spend more time with customers, where human touch and empathy can make the most difference to their customers.Leading VCs saw our company vision to ‘make every claim better’ and have supported our growth journey. This includes our $11M Series A led by Octopus Ventures in 2021 and in total we have raised over ..... full job details .....