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Cloud Observability Engineer

New York, NY, US • Posted 6 hours ago • Updated 5 hours ago

Contract Corp To Corp

Contract W2

Contract Independent

12 Months

No Travel Required

On-site

Depends on Experience

Zealogics

Fitment

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Job Details

Skills

Description: Role Summary Responsible for designing
implementing
and supporting monitoring and observability solutions across AWS
Azure
and GCP 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
and GCP 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 (GCP) 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
Continuous Delivery
Continuous Integration
Amazon Web Services
Capacity Management
Cloud Computing
DevOps
Embedded Systems
GitHub
Good Clinical Practice
Google Cloud Platform
Jenkins
Management
Microsoft Azure
Performance Monitoring
ROOT
Software Development Methodology
Terraform
Cloud Observability Engineer
Cloud Engineer

Description: Role Summary Responsible for designing
implementing
and supporting monitoring and observability solutions across AWS
Azure
and GCP 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
and GCP 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 (GCP) 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
Continuous Delivery
Continuous Integration
Amazon Web Services
Capacity Management
Cloud Computing
DevOps
Embedded Systems
GitHub
Good Clinical Practice
Google Cloud Platform
Jenkins
Management
Microsoft Azure
Performance Monitoring
ROOT
Software Development Methodology
Terraform
Cloud Observability Engineer
Cloud Engineer

Summary

Description:

Role Summary

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

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 90824428
Position Id: 9139544
Posted 6 hours ago

Company Info

About Zealogics

Welcome to Zealogics

Zealogics LLC provides a broad range of IT consulting, systems implementation and application outsourcing services through an optimized global delivery model. Zealogics also built deep knowledge of traditional product engineering across mechanical, electronics and software platforms, to enable clients to navigate their digital transformation.

Zealogics value engineering techniques, automation frameworks, and reference models are refined through engagements with Fortune 500 enterprises and OEMs. We combine customer-centric product strategies with a collaborative approach to execution. It helps harmonize processes, identify bottlenecks, and eliminate non-value adding tasks to deliver world-class products.

We also focus on connecting the right people with the right positions whether for a full-time career opportunity or a temporary assignment. Our long-term relationships with employees and clients have been built in an environment of integrity and commitment, with a shared goal of mutual success. We hire talented people to solve a wide array of IT and Engineering challenges that our clients face day to day. Here at Zealogics we provide the best services for the best price in town. That s our guarantee.

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New York, New York

•

Today

Key ResponsibilitiesKey Responsibilities 1. Hybrid & Multi-Cloud Architecture Design Architect and implement secure, enterprise-grade multi-cloud infrastructure across AWS and Azure (Google Cloud Platform is a plus), ensuring alignment with benchmarks and corporate security policies. Adopt complex hybrid connectivity solutions to link on-premise and cloud based systems. Establish scalable IAM hierarchies, cross-account trust relationships, and organizational units across multiple cloud tenant

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Contract, Third Party

Depends on Experience

L3 Cloud Infrastructure Engineer

Remote

•

Yesterday

The engineer is the escalation point for L2 on infrastructure issues, executes UAT and production releases through GitHub Actions and Terraform, and is accountable for the stability, security, and capacity of the platform's Azure estate: API Management, Azure Front Door/WAF, Container Apps, Service Bus, storage, and Azure OpenAI deployments. Key responsibilities Release and deployment operations Execute Workbench and aIQ Chat UAT and production deployments across AMER, EMEA, and ASPAC using Git

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Contract

60 - 70

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