You might be our missing piece if you have:

• Expertise in CI/CD pipeline development using tools like Jenkins, GitHub Actions, Argo CD, Atlantis, or GCP’s native CI/CD services (Google Cloud Build and Cloud Deploy) – enabling smooth deployment for containerized, microservices-based applications.
• Hands-on experience with Kubernetes for deploying and managing containerized applications – ideally on Google Kubernetes Engine (GKE) – along with proficiency in Docker and Helm charts.
• Familiarity with Infrastructure-as-Code (IaC) tools, especially Terraform, for provisioning and managing cloud infrastructure.
• Solid scripting and automation skills in Bash, Ansible, and PowerShell to automate tasks and manage infrastructure.
• Cloud platform experience: Deep knowledge of GCP is required. Broader experience with other cloud providers (Azure and AWS) is appreciated, but secondary.
• Proficiency in monitoring & logging: Experience using GCP’s native monitoring stack (Google Cloud Monitoring and Logging, formerly Stackdriver) for tracking system health, coupled with visualization tools like Grafana for dashboards.
• Proven ability to collaborate with development and QA teams to ensure seamless integration and deployment of code.
• Strong troubleshooting skills for complex issues in distributed systems and cloud environments.
• Excellent communication skills and a collaborative mindset.
• Ability to articulate complex ideas to technical and non-technical stakeholders.
• Passion for continuous learning and staying updated on industry trends and new technologies.
  

We would be thrilled if you have:

• Experience with the specifics of AI/ML projects (e.g. MLOps pipelines or deploying AI-driven applications).
• Familiarity with Databricks for data engineering or machine learning workflows.

We will be working together on:

• Developing, managing, and maintaining CI/CD pipelines.
• Building, deploying, and scaling Kubernetes-based applications on GKE using Helm charts.
• Configuring and managing cloud infrastructure on GCP using Terraform, ensuring scalable, secure, and reproducible environments for our projects.
• Implementing robust monitoring and logging solutions with Google Cloud’s operations suite and Grafana, to track system performance and application metrics.
• Working closely with development, QA, and other cross-functional teams to ensure efficient integration, testing, and reliable releases of code into production.
• Continuously optimizing our infrastructure processes and automating repetitive tasks using scripting and configuration management tools (Bash, Ansible, PowerShell) for efficient system management.