Senior Linux Platform Engineer (Research Team)
Posted 1 day ago by Levy Professionals
Negotiable
Undetermined
Undetermined
London, England, United Kingdom
Summary: The Senior Linux Platform Engineer will lead the Research Infrastructure Engineering team, focusing on high-performance trading and research infrastructure. The role involves hands-on management of Linux-based systems, including workload scheduling, system management, and performance tuning. The candidate will collaborate closely with research and trading teams, leveraging extensive experience in Linux systems administration and platform engineering. Key responsibilities include optimizing system performance, utilizing DevOps tools, and staying updated on industry trends.
Key Responsibilities:
- Lead the Research Infrastructure Engineering team in managing high-performance trading and research infrastructure.
- Design and implement workload scheduling and manage systems at large scale.
- Oversee high-performance file system design and operation.
- Engage in software design and life cycle management (SDLC).
- Tune Linux kernel and network performance for low-latency and high-throughput applications.
- Identify, troubleshoot, and resolve high-complexity system issues.
- Utilize DevOps tooling including Terraform/Ansible and CI/CD technologies such as Gitlab and Jenkins.
- Provide strategic insights on industry trends and emerging technologies.
- Demonstrate strong knowledge of programming and scripting languages like Python and Golang.
- Visualize infrastructure metrics using tools like Splunk, Prometheus, and Grafana.
- Manage container technologies like Docker and orchestration platforms like Kubernetes.
Key Skills:
- 10+ years of experience in Linux systems administration and platform engineering.
- Deep knowledge of high-performance analysis, tuning, and optimization.
- Expertise in DevOps tooling and CI/CD technologies.
- Strong programming and scripting skills in Python, Golang, or similar languages.
- Experience with infrastructure metric visualization tools.
- Familiarity with container technologies and orchestration platforms.
Salary (Rate): undetermined
City: London
Country: United Kingdom
Working Arrangements: undetermined
IR35 Status: undetermined
Seniority Level: Senior
Industry: IT
The successful candidate will join the infrastructure team as a hands-on Lead within our Research Infrastructure Engineering team. This team are responsible for our cutting-edge high-performance trading and research infrastructure and are responsible for the development and maintenance across operating system platforms, software development tooling, high-performance computing, high performance networking and large-scale storage systems. The candidate will work directly with our research and trading teams with a primary focus on Linux-based systems. This includes, workload scheduling design and implementation, management of systems at large scale, high performance file system design and operation, software design and life cycle (SDLC), kernel and network performance tuning for low-latency and high-throughput applications instrumentation and telemetry collection. As a senior engineer, you will partner closely with our research and other infrastructure engineering teams and work in a highly collaborative manner You will have 10+ years of experience in Linux systems administration and platform engineering, with a proven track record of technical leadership Deep knowledge of high-performance analysis, tuning and optimisation across Linux kernel tuning, hardware optimisation, network performance and storage performance You will identify, troubleshoot, and resolve high-complexity system issues, optimizing system performance and reliability You will have deep knowledge of DevOps tooling including Terraform/Ansible and be able to demonstrate use of CI/CD technologies such as Gitlab and Jenkins You will stay at the forefront of industry trends and emerging technologies, providing strategic insights to optimize our infrastructure and operations, performing POC and presenting results where applicable You will have strong knowledge of Python, Golang or similar programming and scripting languages You will have strong knowledge of Infrastructure metric visualisation using Splunk, Prometheus and Grafana You will have expertise with container technologies like Docker and orchestration platforms like Kubernetes.