Senior DevOps Engineer (GCP)

Description

As a Cloud Engineer / DevOps Engineer at Lumana.ai, you will play a crucial role in designing, implementing, and maintaining the cloud infrastructure that powers our AI-powered applications. You will work closely with cross-functional teams to ensure the scalability, security, and reliability of our cloud-based systems. The ideal candidate will have strong expertise in Google Cloud Platform (GCP), CI/CD pipelines, and cloud management tools such as Kubernetes, Helm, and Kustomize. Additional experience with cloud-native services and tools like MongoDB Atlas, Twilio, SendGrid, and Redis will be a plus.

Key Responsibilities:

• Cloud Infrastructure Management: Design, deploy, and manage Google Cloud Platform (GCP) services to support high-availability applications.
• GCP expertise: Cloud Functions, Storage, Kubernetes Engine, VMs, and private link network management.
• Set up and optimize large-scale ingress and egress traffic management, ensuring scalability and performance.
• CI/CD Pipeline Management: Implement and maintain CI/CD pipelines using Codemagic and GitHub Actions to ensure rapid and reliable application delivery.
• Automate build, testing, deployment, and rollback processes.
• Optimize build and deployment times for greater efficiency.
• Configuration Management: Use Kubernetes for container orchestration and deploy apps with Kustomize or Helm for templating and managing cloud-native configurations.
• Administer and manage Kubernetes clusters, ensuring high availability and fault tolerance.
• Optimize resource allocation and management for cost-efficiency in cloud environments.
• Cloud Security and Compliance: Ensure cloud infrastructure is secure and compliant with best practices, including access control, identity management, and data protection.
• Implement IAM (Identity and Access Management) and configure secure network policies.
• Monitoring & Automation: Implement monitoring solutions for cloud infrastructure (e.g., GCP Monitoring, Prometheus, Grafana) and automate routine tasks such as scaling, failover, and backups.
• Set up logging and alerting mechanisms to detect and respond to incidents proactively.
• Database & Service Management: If you have experience with MongoDB Atlas, Redis, Kafka, and other cloud services, you will be responsible for configuring, maintaining, and optimizing these platforms.
• Manage data pipelines and messaging queues.
• Configure Twilio and SendGrid for communication services and email delivery.
• Collaboration: Work closely with software engineers, product managers, and other stakeholders to improve system performance, security, and scalability.
• Provide guidance on best practices for cloud architecture, infrastructure-as-code (IaC), and DevOps processes.

Requirements

• Cloud Expertise: Strong hands-on experience with Google Cloud Platform (GCP), including services like GCP Storage, Cloud Functions, Kubernetes Engine, VMs, and private link networking.
• GCP certification is preferred (Associate Cloud Engineer, Professional Cloud Architect).
• CI/CD Pipeline: Solid experience setting up and managing CI/CD pipelines using Codemagic, GitHub Actions, or similar tools.
• Proficient in automating build, test, and deployment workflows.
• Containerization & Orchestration: Hands-on experience with Kubernetes for container orchestration and familiarity with Kustomize and Helm for configuration management.
• Configuration Management Tools: Experience managing infrastructure using IaC tools like Kubernetes, Helm, and Terraform.
• Cloud Database & Services (Plus): Expertise in managing cloud services like MongoDB Atlas, Redis, Kafka, Twilio, and SendGrid will be a significant advantage.
• Networking & Security: Familiarity with large-scale ingress, egress, and private link network management in cloud environments.
• Automation & Monitoring: Experience with cloud-native automation tools and monitoring systems (e.g., GCP Monitoring, Prometheus, Grafana).
• VM Management: Experience working with VMs in cloud environments, including provisioning, scaling, and managing virtual machines.
• Scripting and Programming: Proficient in Python, Bash, or other scripting languages to automate tasks and manage cloud resources efficiently.
• Team Collaboration: Excellent communication and collaboration skills, with the ability to work in cross-functional teams.
• Ability to work in an agile development environment with a focus on continuous improvement.

Preferred Qualifications:

• Additional expertise in managing Kafka for stream processing or Okta for identity and access management.
• Experience with serverless architectures in GCP (such as Cloud Functions).
• Knowledge of cloud cost optimization strategies and best practices for reducing infrastructure costs while maintaining performance.
• Familiarity with infrastructure monitoring and alerting platforms like Datadog or New Relic.
• Experience working in Agile or DevOps environments.