Engineering Lead

Summary

Join Keyrock as their Software Engineering Manager - Trading and lead engineering teams in developing and maintaining backoffice and trading data platform systems. You will be a hands-on leader, building scalable, resilient, and high-performance systems while mentoring engineers and fostering a collaborative work culture. The ideal candidate possesses strong experience in building data-intensive platforms, expertise in relevant programming languages (Rust, Python, TypeScript), and a deep understanding of data engineering principles. This role requires experience managing engineering teams and working effectively across cross-functional teams. Keyrock offers a competitive salary package, flexible working hours, remote work options, and a commitment to building an inclusive and diverse work environment.

Requirements

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

• Have previous experience in crypto trading infrastructure or traditional financial markets
• Possess knowledge of blockchain protocols, smart contracts, and decentralized finance (DeFi)
• Have 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