Software Engineer – Back-End

NatureMetrics

full-time

Posted on: 10/13/2025

Location Type: Hybrid

Location: London • 🇬🇧 United Kingdom

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Mid-LevelSenior

AWSAzureCloudGoogle Cloud PlatformGraphQLJavaScriptKubernetesMicroservicesNeo4jNode.jsNoSQLPython

About the role

Focus on delivery: Rapidly provide back-end solutions for our biodiversity data platform to budget and timelines.
Be a self-starter: Design complex solutions around our data estate that support our product goals.
Build with modern paradigms : Be comfortable delivering microservices architecture (API, GraphQL), and leverage AI to get things done
Bring your data guru: You will embrace Neo4j, NoSQL and relational databases.
Build/integrate our identity platform for various applications for Single Sign-On.
Be cross-functional: Work closely with our ML engineers to build pipelines for our AI driven products.
Prepare to mentor: Work closely with bioinformatics data scientists to develop cloud-first data pipelines.
KTLO: Help to maintain our infrastructure on AWS/Azure/GCP and take ownership of documentation supporting this.

A degree or higher degree in Computer Science, or equivalent work experience
Time as a Software Engineer within a start-up/scale-up
A strong background in software development, cloud services and SaaS products.
GoLang / Python fluent. Node.js a bonus.
Experience with Restful APIs and GraphQL.
Experience with BDD or TDD automated test frameworks.
Experience with NoSQL, Neo4J, and relational databases.
Experience with microservice architectures including containerisation and K8s deployment via Argo CD.
While not essential, the following experience would also be advantageous:
Experience with DevOps on Azure or AWS.
Experience with securing APIs and their documentation.
Familiarity with geospatial data analysis, frameworks, and formats.
Previous experience in healthtech / life sciences

Benefits

Competitive Salary
Impactful work with a purpose-driven team
Flexible work arrangements - this is a hybrid position, with the expectation that the successful applicant will attend the office 2-3 days a week, depending on location
Opportunities for professional growth
Benefits package including salary sacrifice pension scheme prioritising sustainability; life assurance; Enhanced annual leave; Cycle to Work Scheme; enhanced family friendly policy; £250 L&D budget to use on our Learning platform, Learnerbly.

Tip: use these terms in your resume and cover letter to boost ATS matches.

GoLangPythonNode.jsRestful APIsGraphQLBDDTDDNoSQLNeo4jmicroservices architecture

self-startermentoringcross-functional collaborationfocus on delivery

degree in Computer Science