Head Of Engineering
Keyrock
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