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# Cloud Engineer, Observability Platforms

- **Company:** Vanguard
- **Location:** Dallas, TX, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Bash Shell, Software as a Service, Cloud Computing, Cloud Engineering, Computer Programming, Continuous Integration, Software Design Patterns, Python (Programming Language), Performance Tuning, Software Engineering, Software Systems, Systems Integration, Data Logging, Scripting, Cloud Platform System, System Availability, Containerization, Kubernetes, Infrastructure Automation Frameworks, Information Technology, Cloudwatch, Splunk, Dynatrace, Serverless Computing, Docker
- **Published:** September 17, 2026
- **Apply:** http://www.vanguardjobs.com/job/23613324/cloud-engineer-observability-platforms-dallas-tx/?utm_medium=%22mcloud%2Djobads%22&utm_campaign=Technology&utm_content=Cloud%20Engineer%2C%20Observability%20Platforms&utm_term=180531

## About the Role

* Bachelor's degree in Computer Science, Information Technology, or a related field, or equivalent experience
 * 3+ years of experience in cloud engineering, platform engineering, or related roles
 * 3+ years experience with AWS services and cloud-native architectures (required)
 * Hands-on experience with Docker and orchestration platforms such as ECS and/or Kubernetes (required)
 * Experience with serverless architectures and modern cloud design patterns
 * Strong programming and automation skills using Python, Bash, or similar languages
 * Experience with observability or monitoring platforms (logs, metrics, tracing) with tools such as Splunk, Honeycomb, OpenTelemetry or CloudWatch preferred
 * Hands-on Experience with infrastructure-as-code and CI/CD practices
 * Strong collaboration skills and ability to work with cross-functional teams

## Description

Join Vanguard's Observability Engineering team and help build the next generation of enterprise observability platforms. You'll design, engineer, and enhance cloud-native solutions across logs, metrics, traces, and event management, enabling teams to deliver reliable and scalable applications. This role combines cloud engineering, software development, automation, and platform engineering to improve developer experience, drive operational excellence, and expand self-service capabilities across the organization. You'll collaborate with application teams, platform partners, and technology vendors to advance our observability ecosystem. As part of our Observability 2.0 strategy, you'll help shape the future of intelligent operations by integrating AI-powered capabilities, MCP-enabled workflows, AIOps automation, and modern observability platforms that accelerate troubleshooting, improve reliability, and reduce operational complexity., * Design, build, and support cloud-based observability platforms, including logging, metrics, and distributed tracing systems

 * Develop and enhance cloud-native applications using AWS services, including serverless technologies such as Lambda
 * Implement and manage containerized workloads using Docker, ECS, and Kubernetes-based orchestration
 * Automate infrastructure and operational processes using Python, Bash, or similar scripting languages
 * Partner with engineering teams to onboard applications and promote observability best practices
 * Manage and optimize SaaS and internally hosted platforms, including vendor coordination and performance tuning
 * Monitor system health, troubleshoot issues, and ensure high availability and reliability of cloud platforms
 * Develop Infrastructure-as-Code solutions to ensure consistent, scalable deployments and optimize CI/CD pipelines to accelerate development velocity while maintaining quality standards
 * Evaluate and recommend new tools and technologies to improve platform performance and efficiency
 * Provides advanced level technical support and ensures reliable operation of cloud production. Troubleshoots software systems on multiple cloud computing platforms and system integration into existing cloud computing platforms.


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