Sr Cloud Engineer

Hi, Position Name :

Sr Cloud Engineer Location :

Bay Area,CA Position Type :

Contract Duration :

6 months with high possibility of extension. Candidates need to

CURRENTLY

reside in the San Francisco Bay area and be willing to work a hybrid schedule. 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, and 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 If you are interested in this opportunity, please submit your updated resume in MS Word format along with your expected hourly rate to [Insert contact email or Phone #]. Rick P