Software Engineer

Cloud Infrastructure / Site Reliability Engineer

As a Cloud Infrastructure / Site Reliability Engineer, you will operate at the intersection of development and operations. You will engage and enhance all aspects of the cloud services lifecycle from design through deployment, operation, and refinement. You will be responsible for maintaining these services by measuring and monitoring their availability, latency, and overall system health and building automation for efficient cloud operations management. You will play a crucial role in sustainably scaling systems through automation and driving changes that improve reliability and velocity.

You will administer cloud-based environments that support our SaaS/IaaS offerings implemented on a microservices, container-based architecture (Kubernetes). In addition, you will oversee a portfolio of customer-centric cloud services (SaaS/IaaS), ensuring their overall availability, performance, and security. You will work closely with NetApp and cloud service provider teams (to include Azure) from Research Triangle Park (RTP), D.C., Pittsburg and more. Due to the critical nature of the services we support, this position involves participation in a rotation-based on-call schedule as part of our global team. This role offers the opportunity to work in a dynamic, global environment, ensuring the smooth operation of vital cloud services.

To be successful in this role, you should be a motivated self-starter and self-learner, possess strong problem-solving skills, and be someone who embraces challenges.

Responsibilities

• Automation and Efficiency: Identify tasks and areas where automation can be applied to achieve time efficiencies and risk reduction. Develop software for deployment automation, packaging, and monitoring visibility.
• Team Collaboration and Influence: Work in tandem with other Cloud Infrastructure Engineers and developers to ensure maximum performance, reliability, and automation of our deployments and infrastructure. Consult and influence developers on new feature development and software architecture to ensure scalability.
• Debugging, Troubleshooting, and Advanced Support: Undertake debugging and troubleshooting of service bottlenecks throughout the entire software stack. Additionally, provide advanced tier 2 and 3 support for NetApp's Cloud Data Service solutions.
• Analysis, and Infrastructure Maintenance: Continuously monitor, analyze, and measure system health, availability, and latency using tools like Prometheus, Stackdriver, ElasticSearch, Grafana, and SolarWinds. Develop strategies to enhance system and application performance, availability, and reliability. In addition, maintain and monitor the deployment and orchestration of servers, docker containers, databases, and general backend infrastructure.
• Incident Response and Troubleshooting: Address and perform Root Cause Analysis (RCA) of complex live production incidents and cross-platform issues involving OS, Networking, and Database in cloud-based SaaS/IaaS environments. Implement SRE best practices for effective resolution.
• Document system knowledge as you acquire it, create runbooks, and ensure critical system information is readily accessible. Security Management: Stay updated with security protocols and proactively identify, diagnose, and resolve complex security issues. Issue Tracking and Resolution: Use Atlassian's tool chain along with first party cloud service management tools to track and resolve issues based on their priority.
• Directly influence the decisions and outcomes related to solution implementation: measure and monitor availability, latency, and overall system health.

Job Requirements

* 5+ years experience in scripting and infrastructure automation using tools such as PowerShell, Python, Go or Ruby.

* Deep working knowledge of Containers, Kubernetes, Serverless computing implementation, and distributed systems design patterns. Knowledge of DevOps/SRE development methodologies.

* Proficiency in Linux/Unix and CoreOS. Experience with cloud platforms such as AWS, Azure, or Google Cloud.

* Ability to lead a scrum team, influence stakeholders to effectively maintain a product backlog, manage sprints.

* This position will have ON-CALL rotations as well as an ask to work odd hours.

Education

A Bachelor of Science Degree in Computer Science, a master's degree; or equivalent experience is required

Compensation: The target salary range for this position is $148,000 - $200,000. The salary offered will be determined by the candidate's location, qualifications, experience, and education and may be outside of this range. Final compensation packages are competitive and in line with industry standards, reflecting a variety of factors, and include a comprehensive benefits package.