Full Stack Engineer

We are hiring a Full Stack Engineer on a 12-month contract to join a leading quantitative technology firm. This team is responsible for developing and managing a cutting-edge high-performance compute (HPC) platform, empowering researchers to perform complex scientific and financial research at scale.You will play a critical role in enhancing user experience through the design and development of intuitive, visually appealing web interfaces, collaborating directly with world-class researchers and research engineers.

Key Responsibilities

• Design and build user-friendly front-end interfaces using modern frameworks (React or Angular preferred)
• Contribute to the design and implementation of robust APIs (Golang preferred)
• Implement secure authentication mechanisms, ideally using OIDC
• Work with both relational and non-relational databases (PostgreSQL ideal)
• Deliver responsive, performant, and scalable web applications
• Collaborate with stakeholders across research and engineering to gather requirements and deliver features
• Contribute to testing, CI/CD pipelines, and performance tuning
• Help ensure code modularity and maintainability across the stack
• Visualise large datasets in the UI with clarity and usability in mind
• Drive product and stakeholder management for frontend-related initiatives

What We're Looking For

• Proven experience building and scaling full-stack web applications
• Strong front-end skills with modern frameworks (React or Angular)
• Experience building and consuming APIs, ideally in Golang
• Proficiency with databases such as PostgreSQL
• Solid understanding of authentication flows, particularly OIDC
• Ability to visualise and manage large data sets through the UI
• Sound knowledge of software architecture principles and performance optimisation
• Excellent communication and stakeholder engagement skills
• Familiarity with responsive design, automated testing, and CI/CD best practices

Nice to Have (Not Essential)

• Experience working in HPC, cloud, or Kubernetes-based environments
• Contributions to or usage of CNCF open-source projects
• Exposure to data-intensive applications or research-oriented tools
• Experience working in a fast-paced, highly technical environment