Engineering Lead, Keyrock

• We are looking for a hands-on leader who is not only experienced in building scalable, resilient, and high-performance systems but also willing to roll up their sleeves and actively contribute to engineering efforts
• The ideal candidate thrives in fast-paced environments, has a strong track record of managing and mentoring engineers, fosters a collaborative work culture, and drives product-centric initiatives while staying deeply engaged in technical challenges
• 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

Desirable

• As the Head of Engineering - Platform at Keyrock, you will lead our engineering teams in developing and maintaining the backoffice and trading data platform systems at the core of our organisation
• 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