Senior Linux Engineer

SENIOR LINUX ENGINEER AT GLOBAL FINTECH FIRM Base Salary is $250K to $300K (based upon candidate and experience) Incredible Organization | Year-end Bonus | Excellent Benefits Solidly established Global FinTech Firm is looking for an experienced senior systems engineer with extensive Linux experience to join its Quant Systems Team as a Senior Linux Engineer . This is a hands-on technical role within an Engineering Team responsible for high-performance trading and research infrastructure. We work in a hybrid model where you will be in the office Tuesdays through Thursdays, with the option to work from home on Mondays and Fridays. SKILLS AND QUALIFICATIONS Degree in Computer Science (or another technical discipline) is required. Ten to Twenty (10-20) years of Comparable Work Experience. In-depth knowledge of Linux-based operating systems and associated configuration management tools is required. Development experience in Python is required. Experience with Rust, C, and Go is preferred, but not required. Individuals with experience with automated build, software deployment, and CI/CD systems b Should have excellent troubleshooting capabilities and experience with diagnostic/tracing tools. Impressive communication skills are essential, as the role will entail significant interaction with different departments across the firm. Experience maintaining infrastructure related to distributed systems, high-performance computing, large-scale storage, and a working knowledge of network protocols is preferred. RESPONSIBILITIES OVERVIEW You will be part of a global team that designs and maintains the firm's largest compute infrastructure, which includes operating system platforms, software development tooling, high-performance computing, networking, and storage for research and trading. You will have the opportunity to work on a wide variety of technology initiatives in a distributed computing environment with a primary focus on Linux-based systems. This includes, but is not limited to, workload scheduling design and implementation, fleet management, clustered file system design and operation, software design and life cycle (SDLC), kernel and network performance tuning for low-latency and high-throughput applications, and metrics collection and data mining analysis.