Cloud Engineer - 5+yrs - SRE, Cloud Operations, DevOps / Platform Engineering

Overview

Cloud Engineer and Site Reliability Engineer on the Webex Contact Center Cloud Operations and SRE team, responsible for the availability, performance and operational health of shared AWS and Kubernetes platforms.

What you'll do

• Monitor service health and investigate application and infrastructure failures.
• Participate in a shared on-call rotation using PagerDuty, logs, metrics, traces and Kubernetes events to understand customer and service impact.
• Restore service during incidents and contribute to incident coordination, root-cause analysis, blameless post-incident reviews and corrective actions.
• Use Python and Terraform to automate infrastructure provisioning, deployment validation, Kubernetes lifecycle activities, recovery procedures and repetitive operational work.
• Improve release safety through automated health checks, progressive delivery, rollback and tested recovery procedures.
• Improve logging, monitoring and alerting with Grafana, VictoriaMetrics, Splunk, OpenSearch, Elasticsearch and CloudWatch.
• Help define service-level indicators and objectives, improve capacity and performance, and create dashboards, runbooks and troubleshooting procedures.

What you'll need

• Bachelor's degree in Computer Science, Engineering, Information Technology or a related field plus 5 years of relevant experience; or a master's degree plus 3 years of relevant experience; or equivalent practical experience.
• Experience operating and improving business-critical production services, cloud infrastructure or distributed applications in Site Reliability Engineering, cloud operations, DevOps or platform engineering.
• Experience operating and troubleshooting production Kubernetes environments, preferably Amazon EKS, including Linux, containers, networking, storage, configuration, secrets, health probes and resource management.
• Experience diagnosing application and infrastructure failures using logs, metrics, traces, Kubernetes events, network behavior, dependency information and deployment history.
• Experience with AWS infrastructure and services such as VPC networking, IAM, load balancing, S3 and CloudWatch, along with Python and Terraform automation.
• Experience using Git and supporting CI/CD pipelines, automated testing, production deployments, health validation and rollback.
• Experience participating in an on-call rotation and responding to production incidents, including triage, service restoration, communication, root-cause analysis and corrective actions.

Nice to have

• Experience creating actionable dashboards, alerts, service-level indicators, service-level objectives and error-budget practices for customer-facing services.
• Experience with observability technologies such as Grafana, VictoriaMetrics, Splunk, OpenSearch, Elasticsearch, Prometheus or CloudWatch.
• Experience troubleshooting Istio-based service communication and Kafka-based distributed services.
• Experience using PagerDuty or a comparable incident-management platform and improving escalation, incident-coordination and alerting practices.
• Experience with Helm, Kustomize, Argo CD, GitLab, Jenkins or comparable Kubernetes delivery technologies.
• Experience improving the availability, scalability, capacity, performance, disaster recovery or cost efficiency of distributed cloud services.
• Experience leading incident investigations, operational-readiness reviews or reliability improvements and helping other engineers develop production-support skills.
• Clear written and verbal communication skills, including experience creating runbooks, troubleshooting guides, operational procedures and incident reports.
• Experience using AI-assisted engineering tools for code analysis, test development, incident investigation, documentation or change-impact analysis.

Details

• Location: Bangalore, India.
• Shared on-call rotation.