Azure Devops Engineer

Cloud Platform Engineering

Focuses on building, maintaining, and automating the infrastructure for functions & applications that support our cloud & connectivity platform.

Key responsibilities

• Independently take product design specifications and deliver well-defined design, implementation, and testable solution
• Demonstrate knowledge of multiple cloud environments and deployment methodologies
• Cultivate relationships with developers, engineers (geo-diverse teams) to understand their infrastructure needs and deliver solutions
• Provide mentorship and technical direction to associate team-members
• Evangelize cloud native best practices and methodologies
• Identify opportunities to automate processes and procedures
• Provide scalable engineering and supportability deliverables, resulting in products and services with more efficiency, lower risk, and reduced customer impact
• Identify potential security and performance issues at multiple layers of deployment, from hardware, operating environment, network and application
• Support deployment of Kubernetes infrastructure and containers hosted within cloud platforms
• Provide technical expertise in identifying issues that affect availability and quality across the software product portfolio

Experience & Skills

• 5-14 years of experience with Microsoft Azure cloud
  Architect Level Exposure is Mandatory
• Fluency in one or more programming or scripting languages, with the ability to review and understand workflow and language. Some level of proficiency in error analysis
• Linux/Unix based machine set up for all nix command line functions
• Proficiency with Git, including branching/merging strategies, Pull Requests, and basic command line functions
• Proficiency with Terraform, which is necessary to manage or add anything related to our infrastructure
• Proficiency with Kubernetes/containers to perform basic troubleshooting, deployment, and onboarding tasks
• Proficiency with Kubernetes internals to understand security, services, and certificate management (this is critical for effective troubleshooting)
• Proficiency with Kubernetes networking concepts
• Proficiency with DevSecOps leveraging ADO, GitHub & GitLab
• Proficiency with Python, to effectively understand and contribute to infrastructure code
• General understanding of Azure, AWS Cloud, including all managed services & offerings of the cloud service providers
• Proficiency with Datadog, as our primary platform for telemetry & operations
• Understanding of the infrastructure lifecycle, from requirements to design, to implementation, testing, environment set-up, multi-phase builds, and deployment approaches
• Understanding of Configuration Management approaches, including trade-offs involved with different solutions
• Effective experience with Cloud-based Architecture, Services, and Provisioning
• Understanding of instrumentation, logging levels, and system/software troubleshooting. Advanced understanding of Operating System components
• Advanced understanding of Operating System components
• Strong written and oral communications skills with the ability to clearly articulate complex concepts
• CKA certification is a plus