
GCP Cloud Engineer Consultant
KPMG Global Services · Hyderabad, Telangana, India · India · Pune, Maharashtra, India +1
Mixed hiring record · median 42 days open
All reasons
- 34% of this employer's openings are over 60 days old
In its favour
- Still listed on the employer's own board
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
Skills
- GCP
- GKE
- Compute Engine
- Cloud Run
- Cloud Functions
- Terraform
- Cloud Build
- GitHub
- Docker
- Kubernetes
- IAM
- VPC
- Cloud SQL
- BigQuery
- Google Cloud Storage
- Linux
- GitHub Actions
- Python
- Bash
- AWS
- Azure
- ServiceNow
- Machine Learning
- Groovy
- Git
- Bitbucket
- Jenkins
- Artifactory
- SonarQube
- Jira
- Confluence
- Helm
- Cloud Monitoring
- AKS
- Azure DevOps
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