Cloud Observability Engineer
- Zealogics Inc.
13 Days Ago
NA
W2, C2C
New York-NY
5-20 Years
Required Skills: Monitoring, Observability, AWS, Azure, Google Cloud Platform, GCP, Cloud-Native Monitoring, Third-Party Monitoring Tools, DevOps, Embedded Systems, GitHub, Good Clinical Practice, Jenkins, Management, Microsoft Azure, Performance Monitoring, Amazon Web Services, AWS, Capacity Management, Cloud Computing, Continuous Delivery, Cloud Observability Engineer, Cloud Engineer
Job Description
- Responsible for designing, implementing, and supporting monitoring and observability solutions across AWS, Azure, and Google Cloud Platform
- Focus on cloud-native monitoring, third-party monitoring tools, and end-to-end observability
- Support complex multi-cloud and hybrid cloud environments
- Ensure all infrastructure and monitoring deployments are implemented through Terraform, Infrastructure as Code (IaC), and automated pipelines
- Work within enterprise delivery models using Jenkins, GitHub pipelines, landing zone pipelines, and Auto SDLC
Design and manage monitoring and observability solutions for public cloud environments
- Build and support cloud-native monitoring solutions using native tools available in AWS, Azure, and Google Cloud Platform
- Integrate and manage third-party monitoring and observability platforms
- Create and maintain:
- Dashboards
- Alerts
- Reports
- Health checks
- Service visibility frameworks
- Collect and analyze:
- Metrics
- Logs
- Traces
- Events
- Telemetry
- Perform proactive issue detection, troubleshooting, and root cause analysis
- Support performance monitoring, capacity planning, availability monitoring, and incident response
- Collaborate with cloud, platform, security, and operations teams
- Develop operational standards, documentation, and runbooks
- Ensure observability is embedded into cloud deployment standards and operational practices
Automation / DevOps Responsibilities
- Deploy all monitoring, observability, and infrastructure configurations using Terraform
- Implement Infrastructure as Code (IaC) best practices
- Build and support deployment automation through:
- Jenkins
- GitHub pipelines / GitHub Actions
- Landing zone pipelines
- Auto SDLC pipelines
- Support pipeline-driven, secure, scalable, and repeatable deployments
- Contribute to CI/CD processes for infrastructure and monitoring solutions
- Maintain version-controlled infrastructure and deployment templates
Required Skills and Experience
- Strong experience in monitoring and observability
- Strong experience with public cloud platforms across:
- AWS
- Microsoft Azure
- Google Cloud Platform (Google Cloud Platform)
- Experience with cloud-native monitoring tools
- Experience with third-party monitoring and observability tools
- Strong hands-on expertise with Terraform
- Strong understanding of Infrastructure as Code
- Experience with:
- Jenkins
- GitHub pipelines / GitHub Actions
- Landing zone deployment models
- Auto SDLC processes
- Strong knowledge of:
- Hybrid cloud environments
- Multi-cloud architecture
- Performance monitoring
- Telemetry and observability practices
- Strong troubleshooting and incident resolution skills
Preferred Monitoring / Observability Tool Experience
- Experience with one or more of the following:
- Datadog
- Dynatrace
- Splunk
- Grafana
- Prometheus
- New Relic
- AppDynamics
Other enterprise monitoring and observability platforms
