ABOUT THE ROLE

We are looking for a talented DevOps Engineer to optimize and master our infrastructure system on the Google Cloud Platform (GCP). You will collaborate closely with development teams to ensure high availability, absolute security, and optimal scalability for the system. This is an ideal opportunity for you to leverage your problem-solving mindset, enhance operational experiences, and accompany the company’s breakthrough technological development.

KEY RESPONSIBILITIES

Software Development & Integration

• Implement software features requested by Product Owner or stakeholders.
• Implement software quality practices such as unit testing, system integration testing, etc.
• Design, deploy, and manage scalable, secure, and highly available infrastructure on Google Cloud.
• Implement infrastructure best practices for availability, scalability, disaster recovery, and cost optimization.
• Support multi-environment deployments (DEV/UAT/PROD) with standardized configurations and governance.
  

Infrastructure as Code (IaC) & Automation

• Develop and maintain Infrastructure as Code (IaC) using tools such as Terraform with a focus on reusable and modular architecture.
• Automate provisioning, configuration, and deployment processes for GCP resources.
• Build and maintain automation scripts (e.g., Python, Bash) to streamline development workflows and infrastructure management.
• Implement automated validation and testing for infrastructure deployments and configurations.
• Maintain version-controlled infrastructure repositories and deployment templates.
  

CI/CD Pipeline Development & Cloud Deployment

• Design, build, and maintain robust and efficient CI/CD pipelines tailored for specific application needs.
• Implement automated build, test, and release, and rollback processes.
• Troubleshoot and resolve issues within the CI/CD pipeline.
• Optimize deployment strategies for reliability, scalability, and reduced downtime.
  

Monitoring, Logging & Observability

• Instrument applications with appropriate logging and metrics for effective monitoring.
• Collaborate with development teams to keep track of key performance indicators (KPIs) and alerts.
• Develop dashboards and visualizations to provide insights into application performance and infrastructure health.
• Participate in incident response, root cause analysis of application and infrastructure issues, leveraging logs and metrics.
  

Security, Governance & Compliance

• Implement security best practices throughout the development lifecycle and deployment processes (DevSecOps).
• Integrate security scanning, vulnerability management, and compliance checks into CI/CD pipelines.
• Participate in security reviews of infrastructure and application deployments.
• Contribute to the development of secure infrastructure and application configurations.
  

Collaboration & Support

• Collaborate closely with development teams to understand their needs and provide DevOps expertise.
• Provide technical guidance and support to developers on CI/CD, automation, and infrastructure-related topics.
• Evangelize DevOps best practices within the development organization.
• Contribute to shared documentation and knowledge sharing initiatives.

QUALIFICATIONS & SKILLS

The “Must-Haves” :

• Programming and Scripting Languages: Python, Bash
• CI/CD: GitHub Actions. Experience integrating security scanning and compliance checks into CI/CD pipelines
• Google Cloud Platform (GCP): Hands-on experience with Google Cloud services such as GKE, Cloud Run, Compute Engine, Cloud Storage, IAM, VPC, Pub/Sub, and BigQuery.
• Infrastructure as Code (IaC): Terraform; Ansible
• Good problem-solving and communication skills.

The “Bonus Points” :

• Understanding of FinOps principles and cloud budgeting strategies.
• Interested in machine learning, data engineering, or analytics solutions
• Familiarity with SRE concepts including SLIs, SLOs, error budgets, and reliability engineering practices.

WHY YOU’LL LOVE WORKING WITH US

Flexible Hours: 5 working days/week (Mon-Fri) with a focus on output, not clock-watching.

Hybrid Model: 2 days WFH per week (team-based decision).

Generous Leave: 12 days annual leave + special seniority benefits.

Allowances: Lunch and gasoline support.

Competitive Income: 13th-month salary + Performance-based bonuses.

Full Insurance: Social, Health, and Unemployment insurance based on Gross Salary.

Premium Care: Health Insurance for you, with seniority-based extension to family members.

Learning Culture: Training for specialized skills, soft skills, and English.

Engagement: Monthly Happy Hours, Company Trips, and vibrant Sport Clubs (Soccer, Yoga, Badminton).

Well-being: Annual health check-ups and a supportive, collaborative environment.

Clear career progression in venturing into domain specific expertise with AI and business knowledge

Variety of choices of clients for you to interact with to grow and learn.