WE ARE:
At Adaptive, we are a financial consulting firm that partners with capital, commodity, and digital market participants. We value differentiation through technology. Our experienced teams design and deliver complex front-office technology solutions using our proven accelerators to create long-term competitive advantage.

Our clients include the world's leading investment banks, investment managers, fintechs and capital market service providers. With a general reach with offices in London, New York, Barcelona , Manila and Montreal, we have a proven track record delivering powerful, elegant and intuitive trading technology solutions.

We are expanding our product capability and looking for talented individuals to help build transformational capital markets products including:

Aeron - our flagship high-performance messaging infrastructure.

Hydra - our developer framework for accelerating the development and delivery of trading systems.

Artio - our market-leading open-source FIX engine.

Aeron Sequencer - replicated state machines at scale.

YOU ARE:





A great team player who loves sharing knowledge and learning from others

A problem solver with strong analytical skills

Excited about learning new things and keeping up to date

Happy to work in a test-driven and Agile development fashion

YOU HAVE:

Experience in Java server-side software development

Experience designing, building, debugging, and operating distributed systems

Experience designing and evolving messaging protocols

Experience designing and evolving software libraries

Experience applying various forms of testing to underpin software qualities, e.g., correctness and performance

Experience in measuring, benchmarking and profiling components and systems

Excellent communication skills, both written and verbal, with the ability to communicate technical concepts to non-technical stakeholders

Strong analytical and problem-solving skills.

YOU WILL:

Design and develop Java applications and librarie

📌 Java Developer (Madrid)
🏢 Adaptive
📍 Madrid