Fruition Group
Senior Software Engineer
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Software Engineer (Mid+ Senior lvls)
Location: London
Work Arrangement: 2 days a week on site
Salary: £80,000 - 120,000 DOE
About the Opportunity
We're partnering with an innovative HealthTech company that is transforming how healthcare providers identify risks, deliver preventative care, and improve patient outcomes through advanced technology and data-driven insights.
Their multidisciplinary team of engineers, data scientists, researchers, and clinicians is building intelligent software solutions that analyse large-scale healthcare data to support proactive and personalised patient care.
The Role
As a Software Engineer, you'll be responsible for designing, building, and maintaining scalable cloud-based services that power critical healthcare applications. You'll collaborate closely with product, data, and clinical teams to develop robust solutions that have a direct impact on patient care.
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What You'll Be Doing
- Building and maintaining scalable backend services and APIs
- Writing clean, tested, and maintainable code
- Developing data ingestion and processing pipelines
- Deploying and managing cloud-native applications
- Contributing to architectural decisions across infra, automation, and DevOps practices
- Collaborating with engineers, data scientists, and domain experts to deliver new features
- Coaching & mentoring engineers - with pathways into squad leadership
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What We're Looking For
Essential
- Strong backend development experience using Python
- Experience building and deploying applications in cloud environments (AWS preferred)
- Experience working with SQL and/or NoSQL databases
- Experience developing data ingestion or ETL pipelines
- Familiarity with Infrastructure as Code tools such as Terraform, CloudFormation, or similar
- Experience working with serverless architectures (AWS Lambda or equivalent)
- Strong communication skills and ability to work within cross-functional teams
Desirable
- Experience with Node.js
- Previous experience in HealthTech, MedTech, or data-intensive environments
Please apply for more details
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