Senior Cloud Observability Engineer
$60 - $74 per hourPTR Global
Position: Senior Cloud Observability Engineer
Location: New York, New York
Duration: Contract
Job ID: 180550
This Operations (Tech) | Level 4 role focuses on designing, implementing, and supporting advanced monitoring and observability solutions across multi-cloud environments, including AWS, Azure, and GCP. The position emphasizes cloud-native monitoring, integration of third-party observability tools, and end-to-end visibility across complex hybrid and multi-cloud infrastructures. The successful candidate will leverage Terraform, Infrastructure as Code (IaC), and automated CI/CD pipelines to ensure scalable, secure, and repeatable deployments, while collaborating closely with cloud, platform, security, and operations teams to embed observability into enterprise cloud standards and operational practices. Responsibilities:
- Design, implement, and manage monitoring and observability solutions for public cloud environments (AWS, Azure, GCP).
- Build and support cloud-native monitoring solutions using native tools available in AWS, Azure, and GCP.
- Integrate, configure, and manage third-party monitoring and observability platforms to provide comprehensive visibility.
- Create and maintain dashboards, alerts, reports, health checks, and service visibility frameworks for critical services and infrastructure.
- Collect and analyze metrics, logs, traces, events, and telemetry to support operational insights and decision-making.
- Perform proactive issue detection, troubleshooting, and root cause analysis to minimize downtime and improve reliability.
- Support performance monitoring, capacity planning, availability monitoring, and incident response activities.
- Collaborate with cloud, platform, security, and operations teams to align observability solutions with enterprise standards.
- Develop and maintain operational standards, documentation, and runbooks for monitoring and observability processes.
- Ensure observability is embedded into cloud deployment standards, reference architectures, and day-to-day operational practices.
- Deploy all monitoring, observability, and infrastructure configurations using Terraform and related IaC tools.
- Implement Infrastructure as Code (IaC) best practices to ensure consistency, repeatability, and compliance.
- Build and support deployment automation using Jenkins, GitHub pipelines / GitHub Actions, landing zone pipelines, and Auto SDLC pipelines.
- Support pipeline-driven, secure, scalable, and repeatable deployments for infrastructure and monitoring solutions.
- Contribute to CI/CD processes for infrastructure, monitoring, and observability components.
- Maintain version-controlled infrastructure and deployment templates to support change management and auditability.
- Work within enterprise delivery models and landing zone deployment frameworks to align with organizational standards.
- Collaborate with stakeholders to continuously improve observability coverage, alert quality, and operational readiness.
- Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
- Experience level aligned with a Level 4 technical operations role, with strong hands-on expertise in monitoring and observability.
- Strong experience designing and operating monitoring and observability solutions across public cloud platforms (AWS, Microsoft Azure, Google Cloud Platform).
- Proven experience with cloud-native monitoring tools and services offered by AWS, Azure, and GCP.
- Experience integrating and managing third-party monitoring and observability tools in enterprise environments.
- Strong hands-on expertise with Terraform for infrastructure and monitoring configuration management.
- Deep understanding of Infrastructure as Code (IaC) concepts, patterns, and best practices.
- Experience working with Jenkins for CI/CD and automation of infrastructure and monitoring deployments.
- Experience with GitHub pipelines / GitHub Actions for automated builds, tests, and deployments.
- Familiarity with landing zone deployment models and Auto SDLC processes in large-scale cloud environments.
- Strong knowledge of hybrid cloud environments and multi-cloud architecture patterns.
- Solid understanding of performance monitoring, telemetry, and observability practices across distributed systems.
- Demonstrated ability to troubleshoot complex issues and drive incident resolution in production environments.
- Experience with one or more enterprise monitoring and observability platforms such as Datadog, Dynatrace, Splunk, Grafana, Prometheus, New Relic, or AppDynamics.
- Ability to develop clear documentation, standards, and runbooks for operational teams.
- Strong collaboration and communication skills to work effectively with cross-functional technical and non-technical stakeholders.
- Experience in mobile operations or related operations (tech) environments is a plus.
- Ability to work in a fast-paced, enterprise-scale environment with complex, multi-cloud and hybrid infrastructures.
About PTR Global: PTR Global is a leading provider of information technology and workforce solutions. PTR Global has become one of the largest providers in its industry, with over 5000 professionals providing services across the U.S. and Canada. For more information visit
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Pay Range: $60 - $74/hour
The specific compensation for this position will be determined by several factors, including the scope, complexity, and location of the role, as well as the cost of labor in the market; the skills, education, training, credentials, and experience of the candidate; and other conditions of employment. Our full-time consultants have access to benefits, including medical, dental, vision, and 401K contributions, as well as PTO, sick leave, and other benefits mandated by applicable state or localities where you reside or work.
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During the hiring process, we may use artificial intelligence (AI) tools to assist in evaluating information related to your application. These tools may help analyze job-related qualifications or assist recruiters in reviewing applications and interview responses. AI-generated information is one factor considered in our hiring process. Final employment decisions are made by qualified hiring personnel and are not based solely on AI-generated recommendations.
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