DevOps Engineer-I

DTDL group.; Hinoba-an; On-site; PHP 500,000 - 900,000; Full time

Job summary

DTDL group. is seeking a motivated DevOps Engineer I to join our Cloud Platform team.

The role focuses on hands-on work with GCP, Kubernetes, IaC, and cloud operations to support data platform services on GCP. You'll deploy and operate workloads on GKE, write Terraform modules, support CI/CD with GitLab and ArgoCD, monitor solutions, and help optimize costs while ensuring security and reliability in regulated environments.

Qualifications

• Hands-on experience with Google Cloud Platform (GCP) and Kubernetes.
• Experience provisioning and operating cloud infrastructure using IaC (Terraform).
• Familiarity with CI/CD tooling (GitLab, ArgoCD) and cloud-native integrations.

Responsibilities

• Manage and support GCP infrastructure and platform services.
• Deploy, operate, and troubleshoot workloads on GKE.
• Develop and maintain Infrastructure as Code using Terraform.

Skills

GCP

GKE

Terraform

CI/CD

GitLab

ArgoCD

Networking

Monitoring

Security

Python/Bash

BigQuery

Airflow

Tools

Terraform modules

Remote state management

Kubernetes

Job description

Job Summary

We are seeking a motivated and skilled DevOps Engineer I to join our Cloud Platform team. The ideal candidate will have hands‑on experience with Google Cloud Platform (GCP), Kubernetes, Infrastructure as Code, and cloud operations. The role involves supporting and improving cloud infrastructure, CI/CD pipelines, observability, platform reliability, and automation initiatives. The candidate should be comfortable working in regulated or closed‑network environments and supporting modern data platform services running on GCP.

Key Responsibilities

• Manage and support GCP infrastructure and platform services.
• Deploy, operate, and troubleshoot workloads on Google Kubernetes Engine (GKE).
• Develop and maintain Infrastructure as Code using Terraform.
• Support CI/CD pipelines and deployment automation(Gitlab and ArgoCD).
• Monitor platform health, performance, and availability.
• Implement cloud security and operational best practices.
• Troubleshoot infrastructure, networking, and application issues.
• Support data platform services and cloud-native integrations.
• Participate in incident response and root cause analysis activities.
• Contribute to cloud cost optimization initiatives.
• Work closely with development, data engineering, and platform teams.

Required Skills

• Google Cloud Platform (GCP)
• Compute Engine
• VPC Networking
• IAM
• Cloud Load Balancers
• Cloud DNS
• Cloud Storage (GCS)
• Cloud Monitoring
• Cloud Logging
• Kubernetes
• Experience with GKE
• Kubernetes deployments and troubleshooting
• Ingress and networking concepts
• Resource management
• Pod lifecycle management
• Infrastructure as Code
• Terraform
• Terraform modules
• Remote state management
• Infrastructure automation
• Networking
• VPC design and management
• Subnets
• Routing
• Firewall rules
• VPN and private connectivity concepts
• Data Platform Services
• Exposure to:
• BigQuery
• Cloud Composer (Apache Airflow)
• Kafka
• Cloud AMQP
• Google Cloud Storage (GCS)
• Monitoring & Operations
• Grafana
• Prometheus
• Cloud Monitoring
• Incident troubleshooting

Preferred Qualifications

• Experience in closed or restricted network environments.
• Understanding of multi-project GCP environments.
• Familiarity with security and compliance controls.
• Basic scripting skills (Python, Bash, Shell).
• Exposure to GitOps methodologies.

Good to Have

• ArgoCD
• Helm
• FinOps and cloud cost optimization practices

Success Metrics

• Infrastructure reliability
• Deployment success rate
• Incident resolution time
• Automation improvements
• Cloud cost optimization contributions