Sr Cloud Engineer

Position Summary

The Grade 10 Cloud Engineer within the Customer s Cloud Collaboration Technology Group will play a key role in building and operating scalable observability and infrastructure platforms supporting Webex microservices. This role requires strong hands-on expertise in Kubernetes, cloud infrastructure, and observability systems, along with the ability to operate independently and to own components end-to-end in production environments. Candidates will demonstrate extensive use of generative AI tools for code generation and production system troubleshooting.

Key Responsibilities

• Design, develop, and operate observability platforms to perform logging, metrics, and/or tracing for Webex microservices.
• Manage and optimize Kubernetes clusters across multi-region environments.
• Own CI/CD pipelines using Argo CD and Helm.
• Implement Infrastructure as code (IaC) using Terraform on AWS.
• Operate monitoring ecosystems, including but not limited to:
  • OpenSearch/ELK
  • Prometheus
  • Grafana
  • Splunk
  • Kafka
• Build automation to detect and remediate production issues.
• Ensure security compliance through vulnerability patching.
• Collaborate cross-functionally to improve reliability.
• Participate in on-call rotations and incident response.
• Contribute to distributed system design and operations.

Required Skills

General Abilities

• Bachelor s degree in computer science or related field

General Technical Skills

• At least eight (8) years of experience in a DevOps and/or SRE platform engineering role
• Incident response and on-call operations: Demonstrated experience in a 24/7 production environment, including but not limited to:
  • Triaging alerts
  • Leading incident response
  • Writing post-incident reviews
  • Maintaining SLA commitments across large-scale distributed systems
• IaC and automation: Proficiency with Terraform, Ansible, and/or equivalent IaC tooling for provisioning and managing cloud infrastructure at scale on AWS
• Scripting and development: Working proficiency in Python, Golang, and/or Bash for building automation scripts, operational tooling, and/or CI/CD pipeline integrations (e.g., Drone, GitHub Actions, Argo CD)

Specific Technical Skills

• Kubernetes and container orchestration: Production experience operating and troubleshooting workloads on Kubernetes at large scale (i.e., hundreds of deployments and thousands of pods), including but not limited to:
  • Helm chart management
  • Pod scheduling
  • Resource tuning
  • Multi-cluster operations
• Observability stack expertise: Hands-on experience performing pipeline design, query optimization, and/or capacity planning for high-volume environments in at least two (2) of the following:
  • OpenSearch/Elasticsearch
  • PrometheMimir
  • Grafana
  • Loki
  • Splunk
  • Logstash