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# Senior Platform Engineer

- **Company:** LSPediA Inc.
- **Location:** Farmington Hills, MI, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Microsoft Azure, Cloud Computing, Cloud Engineering, Data as a Services, DevOps, Software Deployment, Datadog, Data Storage Technologies, Cloud Platform System, Kubernetes, Deployment Automation
- **Published:** September 10, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=c3506a6939364de8

## About the Role

* 5+ years of professional experience in cloud infrastructure, DevOps, or platform engineering, with demonstrated ownership of production systems.
 * Deep hands-on experience with Azure, including experience in compute, networking, identity, and data storage.
 * Production-grade proficiency with infrastructure-as-code.
 * Demonstrated experience administering a Kubernetes cluster.
 * Demonstrated experience designing and operation CI/CD pipelines and controlled deployment strategies for production workloads.
 * Demonstrated experience with observability platforms such as Datadog.
 * Experience mentoring engineers and acting as a technical reviewer.

Preferred Qualifications

 * Experience with regulated environments (ex: SOC 2, ISO 27001, FedRAMP).
 * Relevant cloud certifications.
 * Experience with database management.

## Description

The Senior Platform Engineer owns the design, implementation, and operation of the company's cloud platform and the infrastructure-as-code that defines it. This role is accountable for the reliability, observability, cost efficiency, and deployability of production infrastructure, and serves as the senior technical authority on cloud and DevOps practice for the engineering organization., * Design, implement, and maintain production cloud infrastructure, including compute, networking, identity, data services, and the security controls governing them.

 * Own the infrastructure-as-code codebase end to end: module design, state management, environment promotion, drift detection, and remediation. Ensure infrastructure changes are reviewable, repeatable, and auditable.
 * Design and manage Kubernetes clusters.
 * Own infrastructure observability: metrics, logs, alerts, and dashboards to ensure production issue are detectable and diagnosable before escalation.
 * Participate in production incident response as an escalation point, lead root cause analysis, and drive corrective actions to closure.
 * Own cloud cost management: perform recurring cost analysis to identify cost savings and establish forecasts.
 * Design, implement, and maintain CI/CD pipelines and the deployment strategies they execute.
 * Own deployment process and participate in deployments.
 * Mentor engineers on cloud architecture and DevOps practice.


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- [Understanding Kubernetes in a visual way](https://www.wearedevelopers.com/videos/100085-understanding-kubernetes-in-a-visual-way)
- [The Memory Leak That Ate Our Cluster: A Postmortem](https://www.wearedevelopers.com/videos/2057-the-memory-leak-that-ate-our-cluster-a-postmortem)
- [Shifting Stress to Progress— Understanding DevOps to do DevOps Better](https://www.wearedevelopers.com/videos/268-shifting-stress-to-progress-understanding-devops-to-do-devops-better)
- [From DevOps to Scaled DevOps: How We’re Rebuilding Continuous Delivery as a Platform](https://www.wearedevelopers.com/videos/100018-from-devops-to-scaled-devops-how-we-re-rebuilding-continuous-delivery-as-a-platform)
- [From Pipelines to Platforms: How DevOps Automation Becomes a Force Multiplier at Scale](https://www.wearedevelopers.com/videos/1946-from-pipelines-to-platforms-how-devops-automation-becomes-a-force-multiplier-at-scale)

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