Mid/Senior DevOps Engineer

Job description

We are looking for a highly motivated Mid/Senior DevOps Cloud Engineer with a specialized focus on Google Cloud Platform (GCP) to join our Platform Engineering team.

You will play a critical part in architecting, shaping, and supporting the infrastructure that powers our AI-driven platforms.

This role is ideal for a GCP expert who thrives on infrastructure automation, cloud-native solutions, and e...nabling the seamless deployment of complex applications, including AI/ML models.

While GCP is our primary focus for this role, exposure to AWS and Azure is a significant plus as we navigate multi-cloud environments.

Key Responsibilities

GCP Infrastructure Management: Architect, maintain, and optimize cloud infrastructure on GCP with a focus on reliability, scalability, and cost-efficiency.

Infrastructure as Code (IaC): Automate global infrastructure provisioning using Terraform to ensure consistent environments across the lifecycle.

CI/CD Orchestration: Build and maintain robust CI/CD pipelines for application, data, and model deployment workflows (GitHub Actions).

AI/ML Collaboration: Work closely with Data Science teams to deploy and monitor machine learning models and analytical services.

Security & Networking: Implement and enforce security best practices, including IAM, VPC service controls, and Zero Trust architectures.

Observability: Set up and maintain modern observability stacks (Prometheus, Grafana, Loki) for proactive monitoring and alerting.

Hybrid/Multi-Cloud Strategy: Assist in managing cross-cloud integrations, leveraging your knowledge of AWS and Azure where applicable.br>

Tech Stack

Primary Cloud: GCP (GKE, GCE, BigQuery).

Secondary Clouds: AWS, Azure, OCI.

IaC: Terraform, Terragrunt.

CI/CD: GitHub Actions.

Security: Cloudflare (ZTN).

Monitoring: Prometheus Stack (Prometheus, Grafana, Loki).

Application: Kong (API Gateway), Java Spring Boot, Python, Go.

Data: GCP Dataflow, BigQuery, PostgreSQL.

Required Qualifications

Education: Bachelor s degree in Computer Science, Engineering, or a related field.

Experience: 3 5 years of dedicated experience in DevOps, Site Reliability Engineering (SRE), or Cloud Engineering roles.

GCP Expertise (Must-Have): Deep hands-on experience with Google Cloud services (e.g., GCE, GKE, GCS, Cloud SQL, IAM, and VPC).

Containerization: Strong proficiency with Docker and orchestration via Google Kubernetes Engine (GKE) or similar services in other cloud prroviders.

IaC Mastery: Proven experience managing infrastructure through Terraform.

CI/CD: Experience building automation pipelines using GitHub Actions or similar tools.

Scripting: Proficiency in Python and Bash for task automation and tooling.

Linux Systems: Solid understanding of Linux system administration and performance tuning.

Preferred Qualifications

Certifications: Google Professional Cloud DevOps Engineer or Professional Cloud Architect or any cloud certifications for other cloud providers.

Multi-Cloud: Familiarity with AWS (EC2, S3, EKS) or Azure (AKS, App Service) is highly desirable.

Data/MLOps: Familiarity with GCP-specific data tools (BigQuery, Vertex AI, Dataflow) or MLOps tools (MLflow, Airflow).

Edge Security: Understanding of Zero Trust Network (ZTN) concepts and Cloudflare.

Database Admin: Basic experience with PostgreSQL administration.

Startup Mindset: Experience working in fast-paced, agile, deep-tech environments.

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