DevOps Engineer

Requirements:

● Strong expertise with Google Cloud Platform (GCP) and the ability to troubleshoot and resolve platform challenges with ease
● Hands-on experience working with Cloud Run, Cloud Armor, GKE, and IAMs
● Expert-level skills in Terraform, designing and managing infrastructure as code at scale in enterprise environments
● Solid experience with HashiCorp Vault, especially in roles and permission management
● Proven track record in CI/CD pipelines using GitLab (enterprise-scale)
● A strong understanding of networking, including complex architectures
● Experience running and maintaining production-grade, high-load systems
● Knowledge of F5 load balancing (L5, L7)
● Good problem-solving and troubleshooting skills
● English – intermediate+

Nice to have:

● Knowledge of other cloud platforms (AWS, DigitalOcean, etc.)
● Experience with Docker, Helm
Responsibilities:
● Design, implement, and maintain infrastructure in GCP.
● Work closely with GCP support teams.
● Automate infrastructure provisioning and configuration using Terraform
● Deploy, scale, and monitor applications
● Ensure system reliability, security, and scalability
● Collaborate with developers, QA, and product teams to streamline CI/CD processes

About the project:

The company in question is a prominent player in the telecommunications industry, offering a comprehensive range of services such as internet, television, and mobile phone plans. Known for its expansive network coverage and reliability, this provider is highly regarded for its commitment to innovation and delivering advanced technology to enhance customer experiences. With a strong focus on customer satisfaction, the company continuously adapts to meet the evolving demands of the digital landscape.
To lead the comprehensive migration of on-premises data processing solutions to Google Cloud Platform (GCP), specifically from Hadoop and Hive to GCP native solutions. This role is critical for optimizing our cloud presence in terms of security, cost, and operational efficiency, requiring a blend of cloud computing, data management, and software development expertise.