Senior Cloud Operations Architect

Devopsroles

San Jose (CA)

Hybrid

USD 180,000 - 260,000

Full time

14 days+

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Benefits offered by this job

Medical, dental, and vision insurance
Flexible work schedules / work-from-ss
Paid time off
401(k) matching (US)
Employee stock purchase program
Tuition reimbursement

Job summary

Extreme Networks is hiring for a Cloud Operations Engineer in the San Jose area, leading cloud infrastructure initiatives, driving operational excellence, and delivering secure, scalable solutions across public/private cloud environments. The role emphasizes collaboration with cross-functional teams and leveraging AI for efficiency.

You will design and optimize deployment of Kubernetes-based microservices, ensure high availability, and stay current with industry trends in cloud platforms and

Qualifications

  • BS level technical degree required; Computer Science or Engineering background preferred.
  • 8+ years of experience in a CloudOps / DevOps role.
  • Hands on experience with AWS or any public cloud (Azure, GCP etc.).
  • Knowledge of Linux, security and networking fundamentals.
  • Working knowledge of container-based architecture and deployment (Docker, Kubernetes).
  • Working knowledge of deployment automation development (Terraform, Helm, ArgoCD).
  • Experience in diagnosing and resolving complex application problems.
  • Working knowledge of Elasticsearch, PostgreSQL, Redis, Ignite, Flink, Kafka, and RabbitMQ.
  • Experience with monitoring tools (Nagios, Grafana, 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.

Responsibilities

  • Provide technical leadership in cloud architecture, operational excellence, reliability, and cost optimization across large-scale production environments.
  • Stay current with industry trends and best practices, and leverage AI technologies and cloud service provider platforms (AWS, Google Cloud, and Azure) to improve operational efficiency, scalability, security, and resiliency.
  • Design and ensure secure, reliable, and high-performance communication across multiple regions and cloud service providers.
  • Configure, tune, and operate middleware services, including SQL and NoSQL databases, messaging and streaming platforms, and related infrastructure components.
  • Evaluate, recommend, and lead the adoption of CloudOps and DevOps tools, platforms, and automation solutions.
  • Troubleshoot complex production infrastructure and application issues, providing deep technical expertise and hands-on support when required.
  • Drive root cause analysis (RCA), implement corrective actions, and establish preventive measures to avoid recurrence.
  • Collaborate closely with engineering cloud architects in system design discussions, architecture reviews, and whiteboard sessions.
  • Partner with Development, QA, SRE, and external service providers or carriers to resolve issues and improve system reliability.
  • Design, implement, and evolve deployment automation platforms for Kubernetes-based microservices.
  • Improve service availability, performance, and scalability through automation, tooling, capacity planning, and process improvements.
  • Analyze system and service performance, identify bottlenecks, and deliver actionable recommendations to improve efficiency and resilience.

Skills

CloudOps
DevOps
AWS
Kubernetes
Terraform
Helm
ArgoCD
Linux
Monitoring
Security basics
Networking basics
CI/CD

Education

BS in Computer Science/Engineering

Tools

Docker
PostgreSQL
Elasticsearch
Redis
Kafka
RabbitMQ

Job description

Extreme Networks is hiring for a Cloud Operations Engineer in the San Jose area, leading cloud infrastructure initiatives, driving operational excellence, and delivering secure, scalable solutions across public/private cloud environments. The role emphasizes collaboration with cross-functional teams and leveraging AI for efficiency.

You will design and optimize deployment of Kubernetes-based microservices, ensure high availability, and stay current with industry trends in cloud platforms and

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