Java Fintech Developer
First seen by Alion on Oct 9, 2026.
Luxonit builds trading systems for investment banks and financial services providers – and has done so for more than 20 years. Our platforms handle several million financial records at millions of updates per second, distributed across server farms of 100+ machines. We are a team of architects and developers in Brno and Frankfurt, working on multiple long-term projects, including modern market making platforms for leading European financial players.
What you will work on
Developing large-scale, real-time trading applications, mainly in Java (with some Python and C#)
Designing architectures and implementing technical and business modules – pricing, quoting, execution, risk monitoring, hedging
Owning complex application logic where correctness, latency and throughput all matter
Talking directly to clients, analysing their requirements and turning them into solid solutions
Working in an international team with motivated and experienced colleagues
How we think about AI
AI-assisted development using tools such as GitHub Copilot is already part of our day-to-day work on client systems. Soon a new “AI-first” project will start. For us, AI is a powerful tool in the hands of engineers who understand what happens underneath – not a replacement for that understanding. In low-latency, high-reliability systems you still need to know why the code is right.
What we are looking for
Excellent knowledge of Java (21+): concurrent programming, data structures, API design
A genuine interest in what happens under the hood – Java Memory Model, GC behaviour, performance
Experience with complex distributed systems, or a strong drive to get into them
Comfort working in Linux/Unix
Good communication skills in English
University degree in Computer Science, IT or a related field
Extra points for
Knowledge of financial markets and products (equities, derivatives, fixed income, crypto) or IT experience in banking/financial services – and if you don’t have it yet, you will pick it up with us
Low-latency techniques: zero-garbage design, lock-free programming, GC tuning (e.g. Shenandoah, ZGC)
Data distribution technologies (Redis, Apache Ignite, Infinispan, GigaSpaces etc.)
Market data platforms such as LSEG RTDS (Reuters), Bloomberg
Python, C#/.NET
MongoDB, Couchbase, PostgreSQL, ClickHouse
Docker, Kubernetes and virtualisation
Hands-on experience with AI-assisted development or LLM-based tools
What we offer
Work on systems where performance really matters
Long-term projects in a stable company
Room to grow – from core Java engineering towards architecture, the finance domain and AI-first projects
Attractive salary reflecting your experience
Flexible working hours, office in Brno, home office possibilities
Benefits including extra vacation, sick days, pension contributions and lunch allowance
A small team that shares knowledge and enjoys discussing hard problems
Interested? Send your CV or a link to your LinkedIn profile.