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Google Cloud Platform Platform/Cloud Ops Engineer

MetaSense, Inc.United States🇺🇸United StatesPosted Oct 14, 2026

Why This Role Stands Out

Thrive in a remote environment as a Google Cloud Platform Engineer at MetaSense, Inc., where you'll design, implement, and optimize cloud solutions, gaining valuable experience in a highly reputable company. This role is perfect for engineers eager to build robust cloud infrastructure and contribute to enterprise-scale projects, offering significant opportunities for skill development and career advancement. Apply now to leverage your expertise and grow with a forward-thinking team!

Quick Overview

Seniority
Mid Senior
Work mode
Remote
Location
United States
Posted
Yesterday
SOC 2SplunkBashBigQueryComplianceDatadogGitHub ActionsGoogle CloudGrafanaHIPAAOnboardingPythonRoot Cause AnalysisTerraform

Job Description

Hi,
Hope you're doing well.
This is Garima Gupta from MetaSense Inc. I came across your profile and wanted to check your interest in an opportunity that aligns with your experience.Title: Google Cloud Platform Platform/Cloud Engineer
Location: Remote
Duration: Long Term (12+ months)
Interview Mode: Video 

We’re looking for junior- to mid-level engineers, with a stronger focus on junior-level candidate

Position Summary

Designs, implements, and maintains cloud-based infrastructure and services on Google Cloud Platform. Builds and deploys cloud solutions, optimizes performance and scalability, ensures security and compliance, and troubleshoots technical issues supporting enterprise-scale cloud operations across business units / Google Cloud Platform projects.

What You Will Do

Google Cloud Platform Platform Engineering

  • Design cloud infrastructure solutions based on business requirements and Google Cloud Platform best practices, translating architecture decisions into well-structured, tested, production-ready code.
  • Develop and maintain cloud architecture patterns, reference architectures, and design principles.
  • Ensure strict adherence to cloud architecture standards, schematic protocols, and engineering best practices established by the platform team.
  • Optimize resource allocation, scaling, and configuration to meet performance and reliability requirements across Google Cloud Platform workloads.
  • Participate in design reviews, contributing technical input on scalability, security, and operational considerations for platform changes.
  • Support platform reliability: respond to incidents, perform root cause analysis, and drive remediations that prevent recurrence.
  • Participate in an on-call rotation supporting the Google Cloud Platform

Infrastructure as Code & Automation

  • Implement automation and DevOps practices to streamline cloud operations and eliminate manual toil.
  • Write and maintain Terraform modules following team IaC standards — reusable, well-documented, and integrated into CI/CD pipelines.
  • Build and maintain CI/CD and GitHub Actions pipelines for platform infrastructure and shared tooling used by application teams.
  • Apply policy-as-code patterns using Google Cloud Platform Org Policies to enforce guardrails across the platform at scale.

Networking, Security & Compliance

  • Define and enforce cloud security policies, controls, and risk mitigation protocols aligned to enterprise standards: IAM least-privilege design, Workload Identity Federation, Secret Manager integration, and Binary Authorization.
  • Engineer Google Cloud Platform networking configurations: Shared VPC, VPC Service Controls, Private Service Connect, Cloud NAT, and hybrid connectivity via Cloud Interconnect or HA VPN.
  • Support continuous compliance requirements (HIPAA, PCI, SOC 2) by implementing automated control enforcement and evidence collection.
  • Integrate observability tooling — Cloud Operations Suite, Grafana, Splunk — into platform components so workloads have logging, metrics, and alerting from day one.

Documentation, Collaboration & Growth

  • Establish and maintain technical documentation — runbooks, SOPs, and onboarding materials — so platform knowledge is distributed and not dependent on any individual.
  • Coach junior team members through knowledge sharing, code reviews, and pair programming.
  • Collaborate with engineering, architecture, security, and DevOps teams to deliver platform capabilities on schedule.
  • Pursue professional development and certification in cloud-related domains.

Minimum Requirements

  • 5–7 years of cloud/infrastructure engineering experience, with 3+ years hands-on Google Cloud Platform at enterprise scale.
  • Strong problem-solving and decision-making ability in complex, ambiguous cloud environments.
  • Strong cross-functional collaboration skills across engineering, security, and business stakeholders.
  • Demonstrated ability to learn new Google Cloud Platform services quickly and grow technically over time.
  • Track record of planning, building, and supporting production platform infrastructure end-to-end.
  • Proven delivery of production Google Cloud Platform infrastructure using Terraform — modules, remote state, CI/CD integration.
  • Solid working knowledge across core Google Cloud Platform domains:
    • Compute & Containers: GKE (Autopilot + Standard), Cloud Run, Compute Engine
    • Networking: Shared VPC, VPC Service Controls, Private Service Connect, Cloud Armor
    • Data & Messaging: BigQuery, Pub/Sub, Cloud Storage, Cloud Composer
    • Security: IAM, Workload Identity, Secret Manager, Security Command Center
    • IaC & Automation: Terraform, Cloud Build, GitHub Actions, Artifact Registry
    • Observability: Grafana, Cloud Operations Suite, Datadog, SLO/SLI fundamentals
  • Proficiency in Python or Go; Bash scripting expected.
  • Experience in regulated environments and security control frameworks (HIPAA, PCI, or SOC 2).

Preferred Qualifications

  • Google Professional Cloud Architect or Professional Cloud DevOps Engineer certification (upgraded from Associate — better signals senior-level scope)
  • HashiCorp Terraform Associate certification.
  • Hands-on FinOps experience: committed use discounts, rightsizing, cost allocation tagging.

Education

  • Bachelor's degree in Computer Science, Engineering, or related field preferred; equivalent professional experience considered in lieu of degree.
Regards,
Garima Gupta
Senior Technical Recruiter

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