About the Position

We are seeking a seasoned Lead GCP DevOps Engineer to take on a pivotal role in delivering Google Cloud Platform solutions for our clients. In this leadership position, you will drive the architecture, guide teams on best practices, and provide strategic oversight for cloud-native transformations. You will play a key role in shaping technical decisions, managing complex deployments, and establishing processes for scalability and reliability. If you have the expertise and passion for leading impactful projects, we invite you to apply.

We would like to inform you that this role is primarily offered under a standard employment contract, in accordance with applicable labor regulations.

Responsibilities

Take ownership of clarifying technical requirements and defining project scope
Lead customer engagements to ensure project alignment and success
Direct and supervise the adaptation of customer applications into a cloud-native framework
Define and implement DevOps practices, including CI/CD pipelines and Infrastructure as Code (IaC)
Architect and optimize cloud applications for scalability, covering CDN, caching, compute optimizations, and robust load-balancing setups
Oversee deployment and configuration of GCP services, including identity management, secure network architecture, application security, and billing processes
Create and maintain thorough documentation of technical decisions, designs, and processes
Monitor, troubleshoot, and ensure optimal performance of cloud applications, including Kubernetes clusters and network connectivity
Mentor and guide team members via knowledge-sharing and training sessions to strengthen technical expertise across the team

Requirements

5+ years of experience in DevOps, Cloud Engineering, or related roles
At least 1 year of relevant leadership experience
Advanced qualifications in GCP services such as Google Kubernetes Engine (GKE), CloudBuild, Secret Management, and Container Registry, along with hands-on expertise
Capability to manage high availability, scalability, and security for Kubernetes clusters and cloud applications
Knowledge of Version Control systems like GitHub, including branch strategies and repository management
Proficiency in CI/CD tools such as GitHub Actions, Jenkins, or similar platforms
Expertise in creating and managing Dockerfiles and Kubernetes YAML configurations
Understanding of infrastructure automation tools such as Terraform and configuration management tools like Ansible
Skills in troubleshooting Kubernetes clusters, network connectivity issues, and distributed system performance bottlenecks
Familiarity with diagnosing and debugging Python-based applications and other cloud-native technologies
Background in enterprise AI integration using AWS Bedrock, Google Vertex AI, and Azure AI Services
Expertise in designing, building, and operating AI agents and agentic AI frameworks
Knowledge of Retrieval-Augmented Generation (RAG) architectures and their implementation
Flexibility to use AI-assisted development tools, such as Cursor, Claude Code, Trae, OpenCode, Antigravity, or similar
Understanding of modern Generative AI technologies, LLMs, and enterprise AI solution design

What We Offer

Continuous Upskilling, Learning & Development

Diversity of tasks and projects
Assessment center for objective review of competency level
Personal development plan
Mentoring programs and leadership development
Certification and professional development support
Access to learning platforms including more than 2,500 internal courses
English courses taught by certified teachers

Corporate Benefits

Extra leave days
Referral bonuses

Compensation Package

Competitive compensation paid in USD
Regular salary and performance reviews

Medical & Healthcare

Private health insurance
Well-being events

Working Environment

Recreation areas and kitchens
Tea, coffee, and snacks
Sports equipment and game consoles
IT Equipment
Microsoft’s Software Assurance Home Use Program (HUP)

Lead GCP DevOps Engineer

Job description