Bachelor’s or Master’s degree in Computer Science, Engineering, or 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. Good 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.