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KPMG India

GCP Cloud Engineer Consultant

Hyderabad · Senior

Recently posted - highest visibilityVerified listingPosted 2h ago

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64Skills
97Experience

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Skills required

29 listed
Google Cloud Platform (GCP)Google Kubernetes Engine (GKE)CI/CDCloud EngineeringCloud StorageLoad BalancingGoogle CloudDesign Specifications+21 more
Google Cloud Platform (GCP)Google Kubernetes Engine (GKE)CI/CDCloud EngineeringCloud Storage

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Job description

Job Title

GCP AIOps Cloud Engineer

Location

Bangalore / India (Hybrid/Onsite as applicable)

Experience

Mandatory Skills

• 3 to 8 years of hands-on experience with Google Cloud Platform (GCP).

Role Summary

We are looking for a GCP Cloud Engineer to design, implement, and operate scalable, reliable, and intelligent cloud platforms on Google Cloud Platform (GCP).
The role focuses on Cloud Operations, Observability, Automation

Key Responsibilities Cloud Engineering & Operations

  • Design, build, and manage highly available and resilient GCP infrastructure
  • Operate and optimize production workloads on GCP (GKE, Compute Engine, Cloud Run, Cloud Functions)
  • Implement Infrastructure as Code (IaC) using Terraform
  • Ensure security, reliability, scalability, and cost optimization across environments


DevOps & Automation

  • Design and maintain CI/CD pipelines (Cloud Build, GitHub, Docker, Kubernetes)
  • Automate deployments and operational workflows
  • Support GitOps / DevOps best practices
  • Enable self‑healing and auto‑remediation mechanisms


Containers & Platform Engineering

  • Manage and optimize Google Kubernetes Engine (GKE)
  • Support containerized and microservices‑based architectures
  • Implement scaling, resilience, and workload optimization strategies


Reliability, Security & Governance

  • Apply SRE principles (SLIs, SLOs, error budgets)
  • Implement IAM, VPC networking, firewall rules, and security best practices
  • Support compliance, audit, and governance requirements
  • Perform capacity planning and cost optimization (FinOps awareness)


Collaboration & Delivery

  • Work closely with application, data, and platform teams
  • Participate in design reviews, incident postmortems, and operational readiness reviews
  • Contribute to reusable accelerators, templates, and best practices

Required Skills & Qualifications Core GCP Skills

  • Strong hands‑on experience with:
    • GKE, Compute Engine, Cloud Run, Cloud Functions
    • Cloud SQL, BigQuery, Cloud Storage
    • VPC, IAM, Load Balancing
  • Solid Linux and networking fundamentals


Monitoring

  • Experience with cloud observability

  • Experience implementing monitoring dashboards and alerts

DevOps & Automation

  • Terraform for IaC
  • Docker & Kubernetes
  • CI/CD tools (Cloud Build, GitHub Actions or equivalent)
  • Scripting (Python, Bash)


Nice to Have

  • Multi‑cloud exposure (AWS / Azure)
  • ServiceNow or ITSM integrations
  • FinOps / cost optimization experience
  • Exposure to ML‑assisted operations or SRE tooling


Certifications (Preferred)

  • Google Cloud Associate Cloud Engineer
  • Google Cloud Professional DevOps Engineer
  • Google Cloud Professional SRE / Architect (plus)


What Success Looks Like

  • Stable, secure, and scalable GCP platforms
  • High automation, minimal manual operations
  • Strong collaboration across engineering teams

Primary Roles and Responsibilities

— Design, engineering, integration, and enhancements of Agile and DevOps enablement tools and applications by utilizing DevOps principles

— Follow SDLC process and practices (Functional Specifications and Testing, Design Specifications, Code Reviews, Unit Testing, Monitoring)

— Implement, manage and fine-tune monitoring and alerting systems to ensure robust system performance and swift incident response

— Utilize Python and Groovy for scripting and automation tasks related to tools administration and integrations

— Work closely with security teams to ensure tool compliance with organizational security policies

— Solid understanding of source control systems(Git, Subversion)

— Administer Bitbucket, Jenkins and GitHub to automate build and deployment processes

— Manage and configure jFrog, Artifactory and NexusIQ for effective package repository maintenance

— Administer SonarQube for continuous code quality assessments

— Configuring, building, and deploying applications into on-premise/cloud(DevOps Pipelines, GitHub Actions)

— Administer, manage and configure Jira and Confluence to foster team collaboration and productivity

Preferred Skills

— Must Have: GCP Platform, Containerization (Docker, Kubernetes, GKE), Helm, Cloud Monitoring, GCP Networking, IaC (Terraform),

— Nice-to Have: AKS, Azure DevOps, AWS, Azure services, Scripting, AWS

  • Bachelor's degree in Computer Science, Engineering, or a related field
  • 3+ years of experience in DevOps role
  • Excellent problem-solving skills

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Two ways in

Applicants who checked fit first are 3.1× more likely to hear back

Your match scoreFree · sign in
86Overall
64Skills
97Experience

Your score for this role already exists

ASAI compared this JD against 41 signals - skills, seniority, domain, stack overlap etc. Add a resume and it unlocks in about 30 seconds.

Always free · no credit card · 1 tap with Google

Free · no signup

Get tomorrow's jobs before you have to search

Daily job drops, skill trends and free resources - posted straight to the group. Leave any time.

Join WhatsAppJoin Telegram

No spam. Just jobs and resources.

Why people use ASAI

Someone shared one job with you. ASAI keeps finding the rest.

  • Scored, not searched. Every role ranked against your actual profile.

  • Alerts as often as hourly. Reach new roles while the pile is still small.

  • Skill gaps, spelled out. See exactly which requirements you don't meet yet.

  • Verified jobs, only. Say no to ghost jobs. Your time deserves respect.

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