Senior Platform Engineer

Google Fiber

. Manage multiple critical enterprise applications, including Netcracker, Alepo, and Axiros, on GCP.

Posted 9/18/2026full-timeRemote • United StatesSenior💰 $140,000 - $200,800 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in managing enterprise applications on Google Cloud Platform, with a strong focus on Infrastructure-as-Code using Terraform and automation of deployment processes. Proven ability to lead incident management and optimize system performance while collaborating with cross-functional engineering teams.

Highest-signal resume keywords

Google Cloud Platform ManagementInfrastructure-as-Code with TerraformCI/CD Pipeline ImplementationKubernetes and ContainerizationLinux System Internals

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

TerraformAnsibleSaltStackPythonJavaGCP MonitoringPrometheusDatadogDynatraceELK

Soft Skills

Analytical SkillsCommunication SkillsCross-Team Collaboration

Tools & Technologies

NetcrackerAlepoAxirosGCPCloud RunVPC

Certifications & Qualifications

Bachelor's Degree in Computer Science

Industry Keywords

Public Cloud EnvironmentsSDLCIncident ManagementRoot Cause AnalysisApplication Performance Optimization

Tech Stack

Tools & technologies

AnsibleCloudDistributed SystemsGoogle Cloud PlatformJavaKubernetesLinuxPrometheusPythonSaltStackSDLCTerraform

About the role

Key responsibilities & impact

Manage multiple critical enterprise applications, including Netcracker, Alepo, and Axiros, on GCP.
Support cross-functional engineering teams by streamlining deployment processes and providing a unified, reliable platform.
Design automated deployment pipelines.
Build upgrade scripts.
Enhance GCP cloud infrastructure for scalability.
Architect and maintain scalable, reliable systems and applications on Google Cloud Platform.
Develop and maintain Terraform configurations and drive Infrastructure-as-Code standards.
Design and implement end-to-end CI/CD pipelines.
Lead incident management, conduct Root Cause Analysis, and participate in on-call rotations.
Collaborate with engineering teams to optimize system performance and prioritize resource rightsizing.
Build and maintain internal developer platforms and tools that enhance engineering productivity.

Requirements

What you’ll need

Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience.
5 years of direct experience in public cloud environments, including Kubernetes, VPC, and Cloud Run.
Expertise in infrastructure management and automation using Terraform, Ansible, and SaltStack.
5 years of experience leading SDLC, CI/CD pipeline implementation, and supporting enterprise applications.
5 years of experience with Linux system internals, containerization, building autonomous task workflows, and establishing security guardrails.
2 years of experience coding in programming languages such as Python or Java.
Familiarity with monitoring and logging ecosystems such as GCP Monitoring, Prometheus, Datadog, Dynatrace, and ELK.
Experience diagnosing complex system-level issues.
This role is not eligible for immigration sponsorship.
Preferred: Proven experience architecting and deploying solutions using AI/LLM stacks (Gemini, Vertex AI, ADK).
Preferred: 5 years of direct experience in GCP and managing multi-cloud environments.
Preferred: Experience in application performance optimization for stand-alone and distributed systems.
Preferred: Excellent analytical, communication, and cross-team collaboration skills.

Benefits

Comp & perks

Bonus
Benefits
Equal opportunity employment
Applicant accommodations and confidential accommodations support