Vsquare Systems

Role : Senior Cloud DevOps Manager GCP | AI/ML | GenAI

Job Summary :

We are seeking a visionary and technically proficient Senior Cloud DevOps Manager to lead our cloud infrastructure and DevOps strategy.

This role is pivotal in scaling our AI/ML and GenAI initiatives on Google Cloud Platform (GCP), ensuring robust, secure, and automated infrastructure using modern DevOps practices and container orchestration with Kubernetes.

Key Responsibilities :

- Lead and mentor a high-performing team of DevOps and cloud engineers.

- Architect and manage scalable, secure, and cost-efficient infrastructure on GCP.

- Design and maintain CI/CD pipelines for traditional applications and AI/ML/GenAI workloads.

- Collaborate with data science and ML engineering teams to implement MLOps and GenAI pipelines.

- Oversee containerization strategies using Docker and orchestration with Kubernetes (GKE).

- Implement Infrastructure as Code (IaC) using Terraform or Google Deployment Manager.

- Ensure system reliability, observability, and performance monitoring.

- Drive cloud cost optimization, governance, and compliance.

- Evaluate and integrate emerging DevOps and AI/ML tools and technologies.

Technical Skills :

- Cloud Expertise : Deep experience with Google Cloud Platform (GCP) services (Compute Engine, GKE, Cloud Functions, Vertex AI, BigQuery, etc.

- DevOps Tools : Jenkins, GitLab CI/CD, ArgoCD, or similar.

- IaC : Terraform, Google Deployment Manager, Ansible.

- Containers & Orchestration : Docker, Kubernetes (GKE preferred), Helm.

- Monitoring & Logging : Google Cloud Operations Suite (formerly Stackdriver), Prometheus.

- Scripting & Automation : Python, Bash, NodeJs.

- AI/ML & GenAI : Experience with Vertex AI, Kubeflow, MLflow, LangChain, Hugging Face, or OpenAI APIs.

- Security & Compliance : IAM, VPC, service accounts, secrets management.

Non-Technical Skills :

- Leadership : Proven ability to lead cross-functional teams and manage complex projects.

- Strategic Thinking : Align DevOps and cloud strategies with business and AI/ML goals.

- Collaboration : Strong interpersonal skills to work with engineering, data science, and product teams.

- Communication : Clear and effective communication with both technical and non-technical stakeholders.

- Problem Solving : Analytical mindset with a proactive approach to troubleshooting and innovation.

- Agility : Comfortable working in fast-paced, evolving environments using Agile/Scrum methodologies.

Preferred Qualifications :

- Bachelors or Masters degree in Computer Science, Engineering, or related field.

- 12+ years of experience in DevOps/cloud roles, with 3+ years in a leadership capacity.

- GCP certifications (e.g., Professional Cloud DevOps Engineer, Cloud Architect).

- Experience deploying and managing AI/ML and GenAI models in production.

- Familiarity with data governance, model lifecycle management, and responsible AI practices.