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Lead Engineering Director for Scalable Data Systems
3 weeks ago
Job Overview
We are seeking an experienced Lead Engineering Director to lead our engineering teams in developing and maintaining large-scale, high-performance trading data platforms at the core of our organization.
About the Role
This is a hands-on leadership position that requires a strong technical background in building scalable, resilient, and secure systems. The ideal candidate will thrive in fast-paced environments, have a strong track record of managing and mentoring engineers, foster a collaborative work culture, and drive product-centric initiatives.
Main Responsibilities:
- Platform Development: Architect, develop, and maintain large-scale, high-performance trading data platforms with a focus on low latency and high availability.
- Data Engineering: Apply data engineering principles to design efficient, scalable, and fault-tolerant data pipelines for trading, risk management, and reporting.
- Cloud-Native Infrastructure: Lead cloud-native infrastructure initiatives, leveraging AWS, Kubernetes, and Terraform to deploy and scale systems efficiently.
- Git Ops-Driven Workflows: Implement Git Ops-driven workflows to enhance deployment automation, observability, and system governance.
- Dev Sec Fin Ops Culture: Foster a Dev Sec Fin Ops culture, ensuring security, compliance, and financial accountability within the development lifecycle.
- Data Storage and Retrieval Strategies: Optimise data storage and retrieval strategies, balancing performance, cost, and compliance in a financial services environment.
- Cross-Functional Collaboration: Collaborate with engineering leads, risk managers, product managers, and engineering teams to enhance the overall platform capabilities.
- Technical Leadership and Mentorship: Provide technical leadership and mentorship, fostering a culture of innovation and professional growth.
Requirements and Qualifications
- Technical Skills: Strong expertise in Rust (or C++), Python, and Type Script for system development and automation in the financial services industry.
- Experience: Proven experience in building and maintaining data-intensive, large-scale, high-performance trading data platforms.
- Education: Bachelor's or Master's degree in Computer Science, Engineering, or a related field, or equivalent experience.
Benefits
We offer a competitive salary package, flexible working hours, and the opportunity to work remotely. Our company values self-awareness in our recruitment process and seeks people who understand themselves and their career goals.
