About the role
from listingJob 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