Cloud Empregos à distância e ao domicílio em United Kingdom, London ∙ Página 1

PlayStation is looking for an IT Support Engineer II to help operationally support the transformation of our machine learning environment and it's software supply chain to the next level! This role requires an understanding of specialised hardware, storage, networking, cloud, software pipelines, and security practices. This team will focus on the daily operations support of our machine learning environment including onboarding, incidents, and provide 24/7 support across the US, EU, and JP regions.

Core Responsibilities

• Support Machine Learning & Artificial Intelligence compute cluster environments and local/S3 storage systems.
• Demonstrate extraordinary customer service and establish close partnerships with customers/researchers from various Sony companies
• Collaborate closely with multiple IT teams across Sony to upgrade and improve infrastructure while enhancing the customer experience.
• Collaborate with our Information Security team on multi-functional initiatives and investigations
• Respond to researcher questions and trouble tickets
• Open tickets and work with vendors to resolve hardware and software issues in the environment.
• Onboard and offboard users and projects
• Participate with DevOps teams to install HW/SW upgrades, patches, new features and policies. Coordinate maintenance work with customer schedules and milestones
• Author and maintain documentation of systems and processes.
• Some traveling may be required.

Required Skills

• Customer and peer relationship focused with solid interpersonal and communication skills.
• In-depth understanding of Unix/Linux systems internals and networking.
• Experience at building, deploying, and operating services.
• Strong problem-solving skills across software, system, and network with a methodical and detailed approach to fixing issues.
• Execution oriented and results driven with the ability to learn new skills/technologies quickly and independently.
• Moderate understanding of datacenter, cloud, and live production standard methodologies and experience working in live high availability internal customer facing production environments.
• Familiarity of DevOps workloads including management of Ubuntu, Kubernetes, Docker, GitHub, Artifactory, web applications, filesystems, AWS, S3, CI/CD pipelines.
• Five+ years of experience supporting enterprise environments including cloud.

Desirable Experience

• Experience using monitoring tools (Zabbix, Nagios, Manage-Engine, SolarWinds, Prometheus, Grafana).
• Familiarity with Run.Ai, Omniverse, Weights and Biases, Jupyter, TensorBoard, Bright, Weka, NVIDIA.
• Proficient with code languages and automation tools (Salt, Landscape, Bright Cluster Manager, Python, etc.).
• Experience working with Atlassian Stack (Jira, Confluence)
• Experience with networking principles as they relate to systems and code.
• Understanding of modern OS platforms (Linux, Windows, Mac.)