Full Stack Developer - HR Technology

QRT is a global quantitative and systematic investment manager, operating across all liquid asset classes. We are a data- and technology-driven organisation applying scientific methods to investing. Our collaborative culture and focus on innovation enable us to solve complex challenges and deliver high-quality returns for our investors.

The HR Technology Team builds the applications and integrations that connect QRT’s core HR systems with the wider business, improving the employee experience and streamlining HR operations.

Your future role within QRT

We are seeking a Full Stack Developer to build scalable, cloud-native tools across QRT’s HR technology stack. You will deliver custom applications and integrations from conception through to production, with a strong focus on tested, observable and reliable automation. The role is expected to involve the following activities:

Design, build and deploy full-stack internal tools that address HR requirements beyond standard platform configuration.

Develop front-end interfaces using React, Python Dash or similar technologies.

Build secure APIs and middleware connecting HR systems with other corporate tools.

Create scalable data pipelines using AWS services including S3, ECS and Lambda.

Automate manual HR processes using Python and Kotlin.

Implement testing, error handling, logging and monitoring across applications and integrations.

Translate HR requirements into technical specifications and work with stakeholders to improve employee lifecycle processes.

Document solutions and ensure compliance with GDPR, data privacy requirements and financial services security standards.

Your present skillset

A degree in a numerate, scientific or computing discipline.

Strong Python skills and a good understanding of object-oriented design.

Experience with Kotlin or another statically typed JVM language.

Front-end experience across JavaScript, HTML and CSS, with familiarity with React, Bootstrap or Python Dash.

Hands-on experience with AWS, including S3, Lambda and ECS.

Strong knowledge of REST and SOAP APIs, JSON and XML.

Experience with data modelling and SQL for transactional applications and analytical reporting.

Strong analytical and communication skills, including explaining technical concepts to non-technical HR stakeholders.

Desirable to have experience or a willingness to learn in the following areas

CI/CD pipelines and Git.

Infrastructure as code using Terraform or similar tools.

HR platforms such as Workday or Greenhouse, HR KPIs or employee lifecycle data.

Integrating LLMs or AI agents into workflows, including HR ticketing or data categorisation.