Senior Software Engineer; C#, Azure & AI Leading PE

I'm working with a highly successful buy-side investment manager that's investing heavily in software engineering, data platforms and AI as part of a firm-wide technology transformation.

They're looking for a Senior Software Engineer to join a small, high-performing team where engineers have genuine ownership, work directly with investment, finance and operations teams, and deliver technology that has a visible impact across the business.

This isn't a role where you'll spend years maintaining a single application. You'll lead projects from design through to deployment, building modern business systems, cloud data platforms, APIs, automation and AI-enabled solutions that support the firm's investment platform.

The business has embraced AI-assisted engineering, with developers actively using Claude Code, OpenAI Codex and modern AI tooling as part of their day-to-day development process while exploring agentic workflows across the organisation.

• Designing and building full-stack applications and internal business platforms using C#/.NET
• Developing APIs, integrations and cloud-native solutions across Azure
• Building and maintaining Azure SQL and ETL/ELT data pipelines
• Modernising reporting, automation and operational workflows
• Working directly with investment, finance and operations stakeholders to solve complex business problems
• Building AI-enabled solutions and leveraging modern AI tools to improve software delivery

• Experience building business applications, APIs and backend services
• Experience with Azure technologies such as Azure Data Factory, Logic Apps, Function Apps or similar cloud services
• Experience designing or supporting ETL/ELT pipelines and data platforms
• Familiarity with CI/CD pipelines and modern software engineering practices
• Comfortable working directly with business stakeholders and owning technical delivery
• Experience using AI tools to accelerate software development

Experience with in asset management, private markets, private equity, banking, hedge funds or other regulated financial services environments would be highly advantageous.

• High ownership and autonomy from day one
• Direct exposure to investment professionals and senior business stakeholders
• Broad engineering role spanning software, cloud, data engineering and AI
• Opportunity to influence technology strategy within a growing investment platform
• Hybrid working and highly competitive compensation

For engineers who enjoy solving complex business problems, owning solutions end-to-end and working at the intersection of software engineering, data and AI, this is a genuinely outstanding opportunity.