Cloud Ops Engineer - London, N1C 4AG

Cloud Ops Engineer - London, N1C 4AG, United Kingdom

Job Summary:

We are UMG, the Universal Music Group. We are the world’s leading music company. In everything we do, we are committed to artistry, innovation, and entrepreneurship. We own and operate a broad array of businesses engaged in recorded music, music publishing, merchandising, and audiovisual content in more than 60 countries. We identify and develop recording artists and songwriters, and we produce, distribute, and promote the most critically acclaimed and commercially successful music to delight and entertain fans around the world.

We are currently seeking an eager and collaborative individual to serve as the technical resource on CloudOps team. Responsible to provide technical support and guidance regarding cloud-based SAP solutions as well a being a key technical support resource in supporting the greater cloud landscape.

Job Functions:

The responsibilities of this position include, but are not limited to, the following functions in the Operations organization:

• Utilize technical skills and tools to coordinate, maintain, enhance, and deploy cloud-based solutions while following corporate standards and best practices.

• Work within a CloudOps team to meet project objectives in a timely fashion.

• Update project status reports (progress/risks/issues/roadblocks) as required by Senior Management.

• Use CloudOps methodology and toolsets to implement and support solutions in AWS, Azure, and GCP.

• Implement proposed solutions to ensure the delivery of a quality product or service.

• Ensure cloud resources meet UMG’s operational requirements and are in compliance with UMG infrastructure and security standards.

• Provide documentation and communication to peers and other IT Teams for status, coordination, objectives, and performance.

• Compile and remediate vulnerabilities identified by the securities team.

• Assess and troubleshoot, consult with vendors, and coordinate with other teams for problem resolution.

• Ensure high work standards regarding incident and change management tasks.

• Other tasks as deemed necessary or appropriate.

Job Requirements:

Skills/Abilities:

• Critical and Required Daily Skills.

• SUSE Linux Enterprise Server (SLES) Administration: Deploy, configure, and manage SLES EC2 instances in AWS; troubleshoot boot issues; manage LVM (LVS, VGS, PVS); configure SUID, SGID, Sticky Bit; expand XFS file systems and EBS volumes; manage permissions and ACLs. User/group management, SSH security, package management (zypper, rpm), process/service management (systemd), log analysis, networking (TCP/IP, DNS, routing, firewalls), backup/restore, patching and security hardening.

• AWS Services: EC2, S3, EFS, Storage Gateway, EBS, VPC, VPC Endpoints, IAM, CloudWatch, CloudTrail; provisioning, configuration, monitoring and optimization.

• Automation & Scripting: Bash/shell scripting, AWS CLI, Infrastructure-as-Code (Terraform/Ansible), cron jobs and system automation.

• Monitoring & Performance: System resource monitoring, capacity planning, AWS monitoring tools, and troubleshooting performance bottlenecks.

Overall Skillset:

• Proficient usage and management of Linux and Windows technology stacks (Ubuntu, Windows Server, Nginx, Apache, MySQL, PHP, IIS, MS SQL, .NET, and more).

• Proven experience with AWS, GCP, and Azure in an enterprise setting (personal use of these services will not be considered as equivalent).

• Experienced usage of Kubernetes technology stacks (K8s, EKS, GKE, Helm, Prometheus, Cortex, Grafana, Istio, and more).

• Accomplished with Modern CloudOps methodologies and toolsets (Chef, Terraform, Jira, Slack, Vault, Python, Cortex).

• Solid grasp and usage of version control and release management concepts and tools, particularly Git (Github / SVN/Bitbucket) for code branching and merging.

• Understanding of Modern Auth (OIDC, SSO, SAML, Federation).

• Build and support solutions using both serverless and server-based infrastructure in AWS, Azure, and GCP cloud environments.

• Follow deployment practices using CICD Processes and Technologies (Jenkins, TeamCity, Tekton, Spinnaker, Octopus, CodeDeploy, Automate).

• Solid understanding of key cloud design concepts such as “High Availability” (HA), “Elastic Load Balancing” (ELB), Principle of Least Privilege, Resiliency, Ephemeral Computing, Stateless Computing, Virtual Networking, and Scaling.

• Detailed knowledge and demonstrated experience with key AWS specific technologies including EC2, S3, RDS, Redshift, CloudWatch, CloudFormation, CloudTrail, Storage Gateway, VPC, Transit Gateway, Dedicated Instances, Large Memory U-Type Instances, and Lambda.

• Detailed knowledge and demonstrated experience with key GCP specific technologies including Compute Engine, BigQuery, IAM, BigTable, VPC, Shared VPC, Flow Logs, and Cloud Functions.

• Depth of knowledge of VPC, Cloud Networking, Hybrid Cloud, and IAM constructs in AWS, Azure, and GCP.

• Clear understanding that implementation of security principles and tools is not “optional”.

• Experience with serverless technologies (K8s, RDS, Lambda, SNS, SQS, S3, BigQuery, EKS, GKE, BigTable, Azure AD, Azure B2C, API Gateway, CloudFront, Lambda at Edge).

• Skill configuring and administering different distributions of Linux (Amazon Linux, Ubuntu, Red Hat Enterprise Linux, SLES).

Experience:

• 5 years minimum Experience in delivering IT infrastructure and cloud projects with multiple stakeholders and delivery teams.

• Extensive experience in technical server and Enterprise storage management.

• Practical (hands-on) Experience with all 3 leading cloud providers (AWS, Azure, GCP).

• Practical (hands-on) Experience with UMG primary DevOps toolsets (Chef, Terraform Enterprise, Jira, Confluence, Git, Vault, Slack).

• Practical (hands-on) Experience with UMG primary serverless technologies (k8s, GKE, EKS, Lambda, RDS).

• Practical (hands-on) experience with UMG primary VM technologies (EC2, Dedicated Instances, Compute Engine).

• Practical (hands-on) experience using scripting languages (Python, PowerShell, Golang, AWS CLI, GCP CLI, Bash).

• Practical (hands-on) experience using AWS Linux, Ubuntu Linux, and SLES Linux.

• Practical (hands-on) experience using Windows.

• Practical (hands-on) experience using Kubernetes (K8s) and related toolsets (K8s, EKS, GKE, Grafana, Prometheus, Cortex).

• Other tools: Dynatrace, Azure AD, Intune, SEP, Redlock, Prisma Cloud, SAP, GoAnywhere).

Education:

• BA or BS degree in an IT related field or an equivalent combination of formal education and applicable experience required.

• MCSE, AWS, GCP and UNIX certifications strongly preferred.