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SYSTEM OPERATIONS SPECIALIST
Salary undisclosed
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ROLE: SYSTEM OPERATIONS SPECIALIST II
Location: Sacramento, CA
DevOps Duties and Responsibilities
Journey-level technician supporting systems management functions, such as Performance and Capacity Management, System Configuration Management, Release Management, Build Coordination, and Batch Job Scheduling.
Manages Configuration Item promotion, build, and deployment across environments. Prepare builds for production release and support production releases. Performs code deliveries and merges code between streams. Builds applications and deploys to nonproduction environments.
Provides problem resolution support, specific to systems and server issues; identifies and resolves system/server problems, coordinating with application users to determine symptoms and ensure accurate problem definition.
Handle code deployments and code merging in all environments.
Monitor metrics and develop ways to improve.
Maintains the batch schedule and runs play books for both production and non- Production environments.
Build and test automation tools for infrastructure provisioning.
Qualifications
Over 5 years of enterprise level experience in IT
Strong administration skills (OS: Windows Server different versions including 2016, Web Hosting: IIS including version 10.0)
Solid troubleshooting skills on Windows Operating System Configuration and Maintenance.
Experience on IIS configuration and maintenance.
TFS management system both on On-premises and Azure.
Scripting languages:- must have PowerShell knowledge.
Must have experience in - Windows Batch Scheduler.
Experience in End point virtualization tools like SOA Akana / API-Gateway etc.
Experience in System Security triaging.
Nice-to-have:
Experience in .NET/C#.
Experience in supporting .ASP.NET application and MS Windows(Forms) Application.
Windows administration skills.
WCF and REST web services configurations.
Exposure in maintaining JavaScript / JQuery / HTML / CSS.
Manage CI and CD tools with team.
Containerization (Docker) plus orchestration (Kubernetes).
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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