Cloud Platform Strong expertise in Google Cloud Platform GCP: o GKE, VPC, IAM, Load Balancing, LB, Certs, KMS, logs and metrics exploration o BigQuery, PubSub Good understanding of cloud architecture and landing zones Infrastructure as Code Strong hands-on experience with Terraform Ability to write and debug Terraform code from scratch Containers Orchestration Deep expertise in: o Kubernetes GKE o Docker Robust troubleshooting experience in Kubernetes environments CICD Automation Hands-on experience with: o Jenkins pipeline-based CICD o GitHub Strong scripting skills: o Python preferred o Shell scripting Experience with automation frameworks and tooling Observability Experience with: o Dynatrace Grafana o Log, metrics, and trace-based monitoring Programming Debugging Working knowledge of: o Java andor Golang applications Strong debugging skills across application and infrastructure layers Linux Networking Strong Linux fundamentals Deep understanding of TCPIP networking Ability to debug network issues in distributed systems Reliability Engineering Skills Solid understanding of: o SLI, SLO, SLA, Error Budgets Demonstrable and Proven Experience improving: o MTTR, MTTA Experience handling incident management lifecycle Soft Skills Strong analytical and troubleshooting mindset Excellent communication and stakeholder management Ability to work in high-pressure production environments Ownership-driven and proactive approach

- Strong expertise in Google Cloud Platform (GCP), including:
- Google Kubernetes Engine (GKE)
- VPC
- IAM
- Load Balancing
- SSL/TLS Certificates
- KMS
- Cloud Logging and Monitoring
- BigQuery
- Pub/Sub

- Strong understanding of cloud architecture and landing zones.

Infrastructure as Code
- Strong hands-on experience with Terraform.
- Ability to write, troubleshoot, and debug Terraform code from scratch.





Container Orchestration
- Deep expertise in:
- Kubernetes / GKE
- Docker

- Strong troubleshooting experience in Kubernetes environments.

CI/CD Automation
- Hands-on experience with:
- Jenkins and pipeline-based CI/CD
- GitHub

- Strong scripting skills, preferably:

- Python
- Shell scripting

- Experience with automation frameworks, tools, and engineering best practices.

Observability
- Hands-on experience with observability and monitoring tools such as:
- Dynatrace
- Grafana

- Strong understanding of logs, metrics, and traces and their application to production monitoring and troubleshooting.

Programming Debugging
- Working knowledge of:
- Java applications
- Golang applications

- Strong debugging and troubleshooting skills across both application and infrastructure layers.

Linux Networking
- Strong Linux fundamentals.
- Deep understanding of TCP/IP networking.
- Ability to troubleshoot and resolve network issues in distributed systems.

Reliability Engineering
- Solid understanding of:
- SLI
- SLO
- SLA
- Error Budgets

- Demonstrable experience improving:

- MTTR (Mean Time to Recovery)
- MTTA (Mean Time to Acknowledge)

- Experience managing the complete incident management lifecycle, from detection and triage through resolution and post-incident analysis.

Soft Skills
- Strong analytical, problem-solving, and troubleshooting mindset.
- Excellent communication and stakeholder management skills.
- Ability to work effectively in high-pressure production environments.
- Strong ownership mindset with a proactive approach to identifying and resolving issues.

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 GCP Cloud Engineer (Bengaluru)
🏢 ITC Infotech
📍 Bengaluru