Mondrian Alpha
Senior Software Engineer (C#, Azure & AI) | Buy-Side Investment Management | London
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Senior Software Engineer (C#, Azure & AI) | Buy-Side Investment Management | London
Senior Software Engineer — High-Ownership Technology Transformation
About the Role Join a highly successful buy-side investment manager undergoing a dynamic technology transformation, prioritising software engineering, data platforms, and AI. You’ll join a small, fast-moving team where engineers drive meaningful impact across finance, operations, and investment—owning projects from design to deployment.
The ideal candidate thrives in a role that bridges software development, cloud innovation, data solutions, and AI-enabled workflows. This is not a maintenance-heavy position; instead, you’ll lead initiatives that modernise business systems, from full-stack applications to data platforms, while collaborating directly with cross-functional teams to solve essential business challenges.
The team already leverages AI-assisted engineering tools daily (e.g. Claude Code, OpenAI Codex), exploring agentic workflows and techniques that accelerate software delivery.
Key Responsibilities
- Design and build full-stack applications and internal business platforms using C#/.NET
- Develop RESTful APIs, integrations, and cloud-native solutions on Microsoft Azure, including scalable deployment architectures
- Build and maintain Azure SQL databases alongside ETL/ELT pipelines to enable data-driven decisions
- Modernise reporting, automation, and operational workflows with efficient, reusable systems
- Partner with investment, finance, and operations teams to deliver tailored, business-aligned technical solutions
- Craft AI-enabled applications, from feature extraction to model integration, while exploring AI tools like LLMs to augment (not replace) traditional software-engineering workflows
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Technical & Industry Requirements
Essential Skills & Experience:
- Advanced proficiency with C# and .NET (Core, Web APIs, Frameworks)
- Extensive experience building backend systems, including microservices and inter-service interactions
- Robust SQL Server or Azure SQL expertise, including complex queries, optimisation, and schema design
- Strong background in Azure Technologies, such as:
- Azure Data Factory for data orchestration
- Azure Logic Apps or Function Apps for event-driven workflows and automation
- Azure DevOps/CI/CD or similar tooling for robust pipeline automation
- Hands-on experience with ETL/ELT processes, including transformation frameworks (SSIS, custom scripts, or orchestration tools)
- Experience designing data platforms or supporting business intelligence (Power BI or equivalent) is a bonus
- Knowledge of modern engineering practices: modular architectures, design patterns, version control (Git-based), and cost-optimised cloud deployment
- Confidence working discreetly with cross-functional stakeholders—translating business requirements into scalable technical solutions
AI & Automation Advantage:
- Previous use of AI tools (rows editors, vector DBs, DALL·E, Claude Code, Copilot/X)—or enthusiastic curiosity—to speed development, test automation, or architecture guidance will be beneficial
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Highly Desirable (Asset Management Preference):
- Background in private markets, private equity, hedge funds, or other regulated financial services (e.g. investment management, banking)
- Familiarity with data governance, compliance standards (e.g. MiFID, MiCAR, GDPR), especially within a high-frequency financial workflow
Cultural Fit & Compensation
• High ownership: Immediate access to end-to-end project decisions and technology guidance. • Direct impact across investment, finance, and operations—your work will be visible and valued by senior leaders. • Holistic development opportunity: Position overlaps software, data engineering, cloud architecture, and AI strategy—Step deeper into technical generalism as the platform scales. • Strategic influence: Shape the firm’s platform roadmap by addressing pain points at an early stage. • Flexible working model: Hybrid schedule with competitive compensation (NPI/bonus, benefits, relocations covered in select cases).
This role is perfect if you: ✔ Enjoy complex problem-solving that spans multiple disciplines. ✔ Have entrepreneurial energy—owning tech stacks from blueprint to production. ✔ Embrace continuous learning, particularly around AI frameworks and next-gen infrastructure.
To Apply: Submit your CV via LinkedIn or email gala.santaballa@mondrian-alpha.com for a confidential discussion. We look forward to hearing from creative innovators!
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