Founding Engineer

We are partnering with a tech company founded by industry veterans with deep expertise in enterprise architecture and quantitative systems. The company is establishing its founding engineering team to design, build, and scale their core platform from the ground up, delivering high-performance solutions for complex data processing and mission-critical workflows.

We are seeking an exceptional Founding Engineer, a hands-on technical expert who takes complete ownership of delivering complex systems to the highest standard, end-to-end.

You will operate with high individual autonomy, taking raw, complex business or quantitative ideas and turning them into fault-tolerant, high-throughput systems.

You will own the total realisation of complex ideas into working solutions, architecting systems from scratch, refactoring paradigms where needed, creating high-performance code across the tech stack, and taking full responsibility for end-to-end execution.

• Build & Refine Core Platform Foundations:
  Drive the architectural vision and hands-on execution from the ground up, designing and building the foundational systems that power our mission-critical solutions.

• End-to-End Delivery & Ownership:
  Own solutions across their entire lifecycle - from initial problem definition and architecture down to deployment, system security, data integrity, operational resilience, and production support.

• Flat Structure & High Accountability:
  Work in a streamlined, non-hierarchical environment with direct access to decision-makers and domain experts, taking direct accountability for core system delivery.

• Set the Technical Bar:
  Establish pristine engineering standards, clean system design, automated validation, and operational patterns that will define the team culture as the company scales.

• Foundational Scale & Leverage:
  Identify structural friction, optimise system bottlenecks, and build reusable tools that elevate the execution capacity of the whole engineering environment.

Languages, frameworks, and storage paradigms are simply tools chosen for the specific problem ptability, fast learning, and deep computer science fundamentals are valued far above specialisation in any single framework.

• Broad Computing Fundamentals:
  Strong foundations in algorithms, system architecture, concurrency, distributed systems, and performance tuning.

• Low-Latency & High-Throughput Systems:
  Deep understanding of performance at the hardware level (memory layout and allocation, garbage collection, lock-free concurrency, binary serialisation and efficient I/O), with experience building systems that process millions of events per second with predictable latency.

• Polyglot Execution:
  Fluid ability to work across multiple languages and paradigms (e.g., Python, C++, Java, Type Script) as required by system demands.

• Modern Data Ecosystems:
  Experience working across diverse, modern data paradigms, ranging from real-time analytics and time-series pipelines to big data processing engines, memory-mapped stores, and machine learning integration workflows.

• Production Operations:
  Hands-on capability deploying and operating latency-sensitive production systems, from bare-metal and OS-level tuning to cloud-native infrastructure, containerisation, automated testing, continuous delivery pipelines, and system monitoring.