Head Of Engineering

Keyrock Logo

Keyrock

📍Remote - Belgium

Summary

Join Keyrock as the Head of Engineering - Trading and lead our engineering teams in developing and maintaining the backoffice and trading data platform systems. You will be a hands-on leader, experienced in building scalable, resilient, and high-performance systems. The ideal candidate thrives in fast-paced environments, manages and mentors engineers, fosters collaboration, and drives product-centric initiatives. Key responsibilities include architecting, developing, and maintaining large-scale trading data platforms, applying data engineering principles, ensuring seamless integration between systems, leading cloud-native infrastructure initiatives, and fostering a DevSecFinOps culture. The role requires a Bachelor's or Master's degree in a related field or equivalent experience, along with extensive experience in building and maintaining data-intensive trading platforms and proficiency in various technologies. Remote and flexible work options are available, primarily for candidates based in the UK or Europe.

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, or equivalent experience
  • Proven experience in building and maintaining data-intensive, large-scale, high-performance trading data platforms
  • Strong expertise in Rust (or C++), Python, and TypeScript for system development and automation in the financial services industry
  • Deep understanding of data engineering principles, including data modeling, ETL pipelines, and stream processing
  • Experience with financial services data workflows, including trading, middle office, and back office operations
  • Extensive experience in cloud-native architectures, with proficiency in AWS
  • Proficient in GitOps tools and methodologies for infrastructure automation and deployment
  • Strong background in DevSecFinOps, ensuring compliance, security, and cost efficiency across the development lifecycle
  • Hands-on experience with CI/CD pipelines, infrastructure as code (IaC), and monitoring tools
  • Experience managing and leading engineering teams, fostering collaboration, innovation, and knowledge sharing
  • Strong interpersonal skills with the ability to work effectively across cross-functional teams
  • Ability to translate complex technical concepts into clear, actionable insights for business stakeholders
  • Passion for building scalable, reliable, and secure systems in a fast-paced environment

Responsibilities

  • Architect, develop, and maintain large-scale, high-performance trading data platforms with a focus on low latency and high availability
  • Apply data engineering principles to design efficient, scalable, and fault-tolerant data pipelines for trading, risk management, and reporting
  • Ensure seamless integration between trading operations and backoffice systems, improving operational efficiency and automation
  • Lead cloud-native infrastructure initiatives, leveraging AWS, Kubernetes, and Terraform to deploy and scale systems efficiently
  • Implement GitOps-driven workflows to enhance deployment automation, observability, and system governance
  • Foster a DevSecFinOps culture, ensuring security, compliance, and financial accountability within the development lifecycle
  • Optimise data storage and retrieval strategies, balancing performance, cost, and compliance in a financial services environment
  • Collaborate with engineering leads, risk managers, product managers, and engineering teams to enhance the overall platform capabilities
  • Provide technical leadership and mentorship, fostering a culture of innovation and professional growth
  • Stay ahead of emerging trends in cloud infrastructure, security, and blockchain technologies to drive continuous improvement

Preferred Qualifications

  • Previous experience in crypto trading infrastructure or traditional financial markets
  • Knowledge of blockchain protocols, smart contracts, and decentralized finance (DeFi)
  • Experience working in high-frequency trading (HFT) or algorithmic trading environments

Benefits

  • A competitive salary package, with various benefits depending on the method of engagement (employee or freelancer)
  • Autonomy in your time management thanks to flexible working hours and the opportunity to work remotely
  • The freedom to create your own entrepreneurial experience by being part of a team of people in search of excellence

Share this job:

Disclaimer: Please check that the job is real before you apply. Applying might take you to another website that we don't own. Please be aware that any actions taken during the application process are solely your responsibility, and we bear no responsibility for any outcomes.