Back End Developer

Salary: Highly Competitive + Meaningful Equity

About the Company

Our client is a fast-growing Series C AI infrastructure company building the data layer powering modern AI. Founded by former computer scientists, physicists and quants, the platform is used by hundreds of AI teams across robotics, autonomous systems and enterprise.

With a strong engineering culture and complex data challenges, the company is looking for engineers who have built and operated sophisticated systems in demanding environments, particularly those coming from financial trading, quantitative finance or trading technology backgrounds.

The Role

You’ll join the Foundations team, responsible for the core backend infrastructure that underpins the entire platform.

The challenge is to design, build and scale high-performance distributed systems responsible for storing, indexing, querying and processing massive volumes of multimodal data, including video, images, 3D data and documents.

We’re particularly interested in engineers who have worked in trading firms, market makers, quantitative hedge funds or investment banks , where performance, reliability, data integrity and system design are critical.

You’ll take ownership of systems end to end, make key architectural decisions and help shape the platform as it scales significantly.

Requirements

• Trading or financial markets background: Experience building backend systems or infrastructure within a trading firm, market maker, quantitative hedge fund or investment bank.
• Strong programming skills: Fluency in Python or TypeScript, alongside a statically typed language such as Rust, C++, Java or Go.
• High-performance systems: Experience designing and building robust, scalable backend services where performance, reliability and efficient data processing matter.
• Distributed systems expertise: Strong understanding of databases, replication, partitioning, caching, consistency and large-scale data processing.
• Strong computer science fundamentals: Excellent knowledge of data structures, algorithms and system architecture.
• End-to-end ownership: Proven experience building systems from scratch, deploying them to production and taking responsibility for their ongoing performance and reliability.
• Engineering judgement: Ability to navigate ambiguity, make sound architectural decisions and operate with a high degree of autonomy.

Nice to Have

• Experience developing trading infrastructure, market data systems, pricing engines, order management systems or other mission-critical financial technology.
• Experience with low-latency or performance-sensitive systems.
• Background in storage engines, indexing, databases or query optimisation.
• Experience working with large-scale ML infrastructure or multimodal data.
• Strong Rust experience.
• Experience scaling systems through significant increases in data volume, throughput or complexity.

Why Join?

• Meaningful technical ownership: Build and own critical systems from architecture through production.
• Complex engineering challenges: Apply your experience building sophisticated systems in trading or other performance-critical environments to large-scale AI infrastructure.
• Real architectural influence: Make decisions that will shape the platform as it scales.
• Exceptional engineering culture: Work alongside talented engineers, computer scientists, physicists and quants who value thoughtful design and long-term technical quality.
• Equity and impact: Join a Series C company at a pivotal stage, with a competitive package and meaningful equity.