Java Software Developer

Founded in 2011, Fasanara is a global asset manager and technology platform.

We manage c. USD 6 billion AUM (as of December 31, 2025) in Fintech strategies on behalf of pension funds and insurance companies in Europe and North America.

With c.110 employees globally, we are a pioneer investor in Fintech Lending, enabling Real Economy Impact.

Fasanara manages the largest and longest standing Fintech Lending fund in Europe and invests in early-stage Fintech companies via its venture capital vehicles, using its central role in the Fintech ecosystem to identify and back revolutionary new businesses.

We are strong believers in meritocracy, and we seek to reward people based on impact and excellence. There is no bureaucracy, typical of large organisations. The environment is collaborative, entrepreneurial, and trust based. We set ambitious goals, work extremely hard, stress the importance of teamwork, and adhere to the highest level of excellence in everything we do. We are only as good as our team. Thus, we are building the firm around exceptional talent.

We are looking for an experienced Java Software Engineer to join Fasanara Digital and take significant ownership of systems supporting our 24/7 trading activity.

The role will focus on the development and maintenance of our multi-venue collateral management platform, alongside new reference data and accounting infrastructure supporting both digital assets and traditional financial markets.

This is a hands-on engineering role within a small, high-performing team where engineers have a high degree of ownership and autonomy. You will work across both new development and existing production systems, designing new solutions while maintaining, improving, and scaling established code.

The successful candidate will ideally bring experience from financial services, trading, banking, or digital assets, although strong distributed systems experience from another high-performance environment will also be considered.

• →Develop, maintain, and enhance our multi-venue collateral management system supporting 24/7 trading activity.
• →Build resilient distributed, real-time, and event-driven systems with high-availability requirements.
• →Build and maintain integrations with trading venues to source account, position, collateral, and other operational data.
• →Design reference data frameworks and accounting pipelines supporting both traditional financial instruments and digital assets.
• →Develop primarily in Java and Kotlin, contributing to architecture and technical design while remaining highly hands-on.
• →Maintain, refactor, and improve existing production code alongside developing new functionality.
• →Take end-to-end ownership of technical problems, from design through to production delivery and ongoing support.
• →Work closely with engineers and investment stakeholders to translate business requirements into effective technical solutions.
• →Use modern AI-assisted development tools to improve engineering productivity and software quality.

• At least 5 years of professional software engineering experience.
• Strong commercial Java experience.
• Experience designing and developing distributed systems.
• Experience working with real-time, event-driven, and/or high-availability production systems.
• Strong understanding of software engineering fundamentals, system design, and production reliability.
• Comfortable maintaining, debugging, and improving existing production code as well as developing new systems.
• Strong problem-solving and analytical skills.
• Ability to work independently and take ownership in a fast-paced, high-performance environment.
• Strong communication and collaboration skills.

• Commercial Kotlin experience.
• Previous experience within financial services, trading, banking, hedge funds, or fintech.
• Experience within cryptocurrency or digital assets.
• Knowledge of crypto exchanges, trading venues, protocols, or market infrastructure.
• Experience developing collateral, position, accounting, market data, or reference data systems.
• Experience with Python.
• Experience with Apache, Kafka or other event streaming technologies.
• Experience using AI-assisted software development tools.
• Understanding of traditional financial instruments and financial market infrastructure.