DevOps Deployment Automation Engineer (9394) San Jose - Onsite
San Jose, California, United States
Extreme Networks
We provide networking solutions to power your business. Our flexible and scalable cloud networking services help optimize your network infrastructure.
Over 50,000 customers globally trust our end-to-end, cloud-driven networking solutions. They rely on our top-rated services and support to accelerate their digital transformation efforts and deliver unprecedented progress. With double-digit growth year over year, no provider is better positioned to deliver scalable outcomes than Extreme.
Inclusion is one of our core values and in our DNA. We are committed to fostering an inclusive workplace that embraces our differences and creates an atmosphere where all our employees thrive because of their differences, not in spite of them.
Become part of Something big with Extreme! As a global networking leader, learn why there’s no better time to join the Extreme team.
Position: DevOps Deployment Automation EngineerLocation: San Jose, HybridJob Type: Full Time
We encourage people from underrepresented groups to apply. Come Advance with us! In keeping with our values, no employee or applicant will face discrimination/harassment based on: race, color, ancestry, national origin, religion, age, gender, marital domestic partner status, sexual orientation, gender identity, disability status, or veteran status. Above and beyond discrimination/harassment based on “protected categories,” Extreme Networks also strives to prevent other, subtler forms of inappropriate behavior (e.g., stereotyping) from ever gaining a foothold in our organization. Whether blatant or hidden, barriers to success have no place at Extreme Networks.
Inclusion is one of our core values and in our DNA. We are committed to fostering an inclusive workplace that embraces our differences and creates an atmosphere where all our employees thrive because of their differences, not in spite of them.
Become part of Something big with Extreme! As a global networking leader, learn why there’s no better time to join the Extreme team.
Position: DevOps Deployment Automation EngineerLocation: San Jose, HybridJob Type: Full Time
Responsibilities:
- Develop and implement unified deployment automation framework for ExtremeCloud services in Public, Private, and Edge Cloud.
- Automate infrastructure service provisioning in AWS, Google, and Azure as code.
- Champion DevOps best practices, streamline CI/CD workflows, and improve deployment efficiency.
- Create and maintain effective and efficient CI and CD pipelines to deliver applications and services.
- Collaborate with applications team to integrate deployment automation into their own CI/CD environments, as well as feature-level sanity verification integration.
- Participate in cloud security and compliance implementation.
- Implement and advocate for security best practices and integrate security scans into the CI/CD workflow.
- Automate monitoring and logging configuration as part of the deployment automation process.
- Maintain up-to-date DevOps best practices, processes, and standard procedures.
Qualifications:
- BS level technical degree required; Computer Science or Engineering background preferred.
- 5+ years of experience in a CloudOps / DevOps role.
- Hands-on experience with AWS or any public cloud (Azure, GCP etc).
- Proficient in using Terraform to provision and manage cloud infrastructure
- Working knowledge of container-based architecture and deployment (Docker, Kubernetes).
- Working knowledge of deployment automation development (Argo CD, Helm, Ansible).
- Knowledge of Linux, security, and networking fundamentals.
- Experience with monitoring tools (Nagios, Kibana, Prometheus).
- Experience with cloud security and compliance implementation is a plus.
- Strong follow-through and initiative to stay with issues until they are resolved.
- Comfortable working within a distributed team located in multiple time zones.
- Strong programming skills with good knowledge of Python is a plus.
We encourage people from underrepresented groups to apply. Come Advance with us! In keeping with our values, no employee or applicant will face discrimination/harassment based on: race, color, ancestry, national origin, religion, age, gender, marital domestic partner status, sexual orientation, gender identity, disability status, or veteran status. Above and beyond discrimination/harassment based on “protected categories,” Extreme Networks also strives to prevent other, subtler forms of inappropriate behavior (e.g., stereotyping) from ever gaining a foothold in our organization. Whether blatant or hidden, barriers to success have no place at Extreme Networks.
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
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Category:
Engineering Jobs
Tags: Ansible Architecture AWS Azure CI/CD Computer Science DevOps Docker Engineering GCP Helm Kibana Kubernetes Linux Machine Learning Pipelines Python Security Terraform
Perks/benefits: Career development
Region:
North America
Country:
United States
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