Software Engineer - Alternatives

In this role you will build and support cloud-native applications, data services, APIs, and platform capabilities for the Alternatives group, enabling the investment team to automate workflows with modern tooling. You’ll work with engineering leadership to align solutions with the architecture and long-term platform vision, while delivering hands-on software and supporting ongoing operations. You will contribute to platform improvement, automation, and scalability, partnering with cross-functional teams to drive value. This is a hands-on, impact-focused engineering position in a collaborative, growth-oriented environment.

• Hybrid working
• Generous holiday policies
• Health and wellbeing benefits (including ClassPass)
• Paid volunteer time
• Professional development and tuition reimbursement
• Parental leave and family services

• Develop and support cloud-native applications, data services, APIs, and platform capabilities for the Alternatives domain
• Collaborate with Team Lead, Technical Lead, and engineering team to align with architecture, standards and long-term platform vision
• Perform hands-on software development, testing, deployment, and support following governance and delivery processes
• Engage with investment teams across requirements, design, implementation and ongoing support
• Contribute to continuous improvement of the Alternatives technology platform focusing on automation, scalability, reliability, and user experience
• Provide support for Alternative Investments-specific applications, platforms, and business processes
• Undertake additional responsibilities as required

• Strong software engineering background with production-grade applications and platforms
• Expert-level Python development (design, development, testing, deployment, support)
• Experience with Python libraries/frameworks such as Pandas, NumPy, PySpark, FastAPI
• Cloud-native solutions on Azure (preferred) or AWS
• Experience building data platforms, APIs, data pipelines, integration services, event-driven architectures
• Experience with CI/CD, DevSecOps, Infrastructure as Code, automated testing, source control
• Strong SQL and database skills across operational, analytical, cloud data platforms
• Ability to influence stakeholders and drive technology adoption
• Analytical, problem-solving, self-organised with ability to manage multiple initiatives
• Strong communication skills across technical and non-technical audiences
• Commitment to delivery of measurable business value through automation and modernization
• Experience with Agile delivery methodologies and product-oriented operating models
• Degree educated in Computer Science, Engineering, Mathematics, Physics, or related discipline

• Client-focused and collaborative
• Detail-oriented and engineering-excellence oriented
• Inspires cross-functional teams and fosters alignment
• Python development
• Pandas, NumPy, PySpark, FastAPI
• Azure (preferred) or AWS cloud platforms