Platform Engineer

This role offers the opportunity to engage directly with cutting-edge distributed systems, platform development, and the operation of fully automated trading systems. Additionally, you will gain valuable experience in quantitative finance. You will join a team where your creativity, initiative, and teamwork will make direct impacts on trading profits for our investors. We invite platform developers with a proven record of innovation and achievement in their fields to apply. Job Responsibilities • Quantitative Development: Work directly as a member of the Quantitative Development team, collaborating daily with other Quantitative Developers, Researchers, and Portfolio Managers.• Platform Development: Provide software contributions to evolve the Quantic infrastructure platform, building foundational technology for the entire quantitative investment business. Contributions will include:  Build cutting-edge CI/CD pipelines for continuous delivery, leveraging the latest technology in automated build systems, integration testing, and environment management.  Leverage Kubernetes, OpenShift, and the latest open-source technologies to automate distributed deployments across multiple nodes.  Automate the management of key infrastructure using tools such as Terraform and the AWS CDK. Manage compute capacity across the entire Quant fleet, ensuring our ability to scale to support growing business needs.  Deploy and manage key distributed systems, optimize performance, and ensure continuous uptime.  Work with databases (relational, non-relational) and key data storage layers, including network filesystems and cloud-based storage. Enable critical alpha research and strategy development workflows by partnering directly with the Quantitative Research team to ensure environment, dependency, and compute needs are met• Tech Strategy: Participate in shaping the future of our technology platform, making foundational decisions on technology that will dictate our success, including:  Workflow management and orchestration: Define strategies to help meet the complex needs of online and offline quantitative workflows.  Compute strategy: Help facilitate our adoption and migration of cloud computing, in partnership with onprem compute in a cloud-hybrid set up.  Data strategy: Define a data platform that will allow us to sidestep scaling bottlenecks while remaining productive and help manage our ever-growing and diverse quant datasets.  Access Control: Define systems for authorization, permissions, and policy enforcement to help boost group productivity while protecting critical investment IP.  Dependency management: Support Quantic’s constantly evolving, cross-language dependency chains, involving both first and third-party dependencies.  Development process: Define robust standards and processes to help the team avoid outages and ship higher quality code. • Operational Excellence: Define strategies, systems, and toolkits to maintain continuous uptime to support trading systems, applications, and research. Participate in supporting trading strategies and platform infrastructure. • Research Tools: Build and maintain sophisticated tools and software to facilitate data analysis, modeling, portfolio simulation, and trade execution. Skills & Qualifications• Bachelor’s or advanced degree in Computer Science, Mathematics, Statistics, Engineering, or related field. • Strong ability to prioritize and multi-task. • Demonstrated ability to think independently, identify creative approaches to complex problems, and articulate those ideas clearly through verbal, written, and visual media. • Programming proficiency, preferably in Java, Python, and R. • Experience in UNIX/Linux/BSD environments is required. • Strong grasp of high-level design and system architecture in software systems. • Background using database technologies, including relational and no-SQL databases.• Experience with one or more market-leading cloud platforms, including AWS, GCP, or Azure. • Experience with containerization and dependency management (Docker or Podman a plus). • Experience with Kubernetes (OpenShift a plus), or similar cloud-based deployment managers such as Amazon ECS. • Background writing unit and integration tests using the latest testing platforms in Python and Java (pytest, JUnit, Mockito). • Experience with distributed filesystems as a plus.