Senior DevOps Engineer
نُشرت في :
17-03-2025
صاحب العمل نشط
1 وظيفة شاغرة
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أرسل الوظائف
الوصف الوظيفي
We are seeking a dedicated Senior DevOps Engineer to oversee our Azure DevOps platform. This is a critical role that bridges the gap between Project Management Development Technical Support and Backend Teams. With the increasing workload and expanding team size this role is essential to ensure smooth operations and efficient deployments both cloudbased and onpremise.
Key Responsibilities
- Azure DevOps Management: Establish maintain and optimize the Azure DevOps environment ensuring high availability and performance.
- Pipeline Development: Design implement and manage CI/CD pipelines using Azure DevOps ensuring seamless integration and deployment.
- DevSecOps Integration: Integrate security practices into the DevOps pipeline utilizing tools such as SonarQube and OWASP.
- Collaboration: Work closely with Project Managers Developers Tech Support and Backend Teams including DBA and Solution Architects to ensure coordinated and efficient operations.
- Cloud and OnPremise Deployments: Manage and support both cloudbased and onpremise deployments ensuring compatibility and performance.
- Git Management: Oversee the Git repository ensuring best practices in version control and branching strategies.
- Performance Monitoring: Implement monitoring and logging solutions such as Azure Monitor and ELK Stack to ensure system reliability and performance.
- Automation: Develop and maintain automation scripts using PowerShell Bash and other scripting languages to streamline operations and reduce manual efforts.
- Containerization: Extensive experience with containerization technologies like Docker and Kubernetes.
- Telemetry: Utilize Application Insights and other telemetry tools to monitor and optimize application performance.
- Security and Access Control: Address security and access control/roles/workflows in Azure DevOps maintaining them in line with internal policies and team structures ensuring granularlevel permissions and privileges.
- Repository Management: Proficiency in working with multiple repositories and branches handling merge conflicts with developers and
maintaining solid tracking of releases versioning dependencies libraries and NuGet packages. - Bonus:MLOps Support: Collaborate with the AI unit to establish and maintain MLOps practices supporting ML Engineers and Data Scientists.
Requirements
- Education:
- Bachelors degree in Computer Science Information Technology or related field. Advanced degree preferred.
- Experience:
- Minimum of 5 years in DevOps with a strong focus on Azure DevOps.
- Proven experience in managing cloudbased and onpremise deployments.
- Handson experience with .NET Webforms and .NET Core applications.
- Extensive experience with containerization technologies like Docker and Kubernetes.
- Technical Skills:
- Proficient in CI/CD pipeline development and management.
- Strong knowledge of DevSecOps practices and tools (SonarQube OWASP).
- Expertise in Git version control and branching strategies.
- Experience with automation tools and scripting languages (PowerShell Bash etc..
- Familiarity with monitoring and logging tools (Azure Monitor ELK Stack Application Insights).
- Proficiency in multiple operating systems including Windows Linux and Unix.
- Experience with a variety of opensource and licensed tools and databases.
- Certifications:
- Mandatory :
- Microsoft Certified: Azure DevOps Engineer Expert
- Certified Kubernetes Administrator (CKA)
- Optional:
- AWS Certified DevOps Engineer
- Certified Jenkins Engineer
- Docker Certified Associate
- HashiCorp Certified: Terraform Associate
- Soft Skills:
- Communication: Excellent verbal and written communication skills with the ability to articulate complex technical concepts to nontechnical stakeholders.
- Problem Solving: Strong analytical and problemsolving abilities.
- Team Player: Ability to work collaboratively with crossfunctional teams.
- Leadership: Demonstrated leadership skills with the ability to mentor and guide junior team members.
Bonus Skills:
- Experience with MLOps practices and tools.
- Knowledge of AI/ML frameworks and collaboration with Data Science teams.
- Experience with deployments across multiple infrastructures/environments following Infrastructure as Code (IaC) practices.
- Proficiency in DevOps automation and collaboration with developers to optimize and streamline deployment processes.
Required Experience:
Senior IC
نوع التوظيف
المهارات المطلوبة
الإبلاغ عن هذه الوظيفة
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