NetApp Software Engineer 

United States, North Carolina 

913292904

As a Cloud Infrastructure/Site Reliability Engineer, you operate seamlessly between development and operations. You will engage in and improve the lifecycle of cloud services - from design to development, deployment, operation, and refinement. You will maintain services by measuring and monitoring availability, latency, and overall system health. You will play an important role in scaling systems sustainably through automation and evolving them by pushing for changes to improve reliability and velocity. You will architect and manage our cloud-based environments that support our SaaS / IaaS offerings that are implemented on a microservices, container-based architecture (Kubernetes).

Job Responsibilities

• Work with other Cloud Infrastructure Engineer and developers to ensure maximum performance, reliability and automation of our deployments and infrastructure.
• Work with, consult and influence developers on new features and software architecture to ensure scalability.
• Architect the current platform.
• Develop software, both as components of our solution and outside of the solution, for deployment automation, packaging, and monitoring visibility.
• Identify tasks and areas where automation can be applied to achieve time efficiencies and risk reduction.
• Debug and troubleshoot service bottlenecks throughout the whole software stack.
• Measure and monitor availability, latency, and overall system health.
• Provide advanced escalation support (tier 2 and 3) to NetApp ‘s Cloud Data Services solutions.
• You will have direct influence on the decisions and outcomes related to solution implementation.
• Good interpersonal communication and customer service skills to work successfully with stakeholders in high stress and/or ambiguous situations

• A minimum of 5+ years of relevant experience automation and/or software development
• Scripting and infrastructure automation using for example, Ansible, Python, Go, Perl or Ruby.
• Development experience in Python or Terraform. Java or .net. would be a plus.
• Deep working knowledge on Containers, Kubernetes, Serverless computing implementation.
• Understanding of SDLC lifecycle and DevOps development methodologies
• Demonstrated Linux/Unix, CORE OS experience.
• Ability to provide architecture solutions
• Experience with cloud hyperscalers like GCP, AWS, Azure-ANF, or Oracle

Bachelor of Science Degree in Computer Science, a master’s degree, or a PhD; or equivalent experience is required.