Tech Stack
CloudGoGoogle Cloud PlatformGrafanaKafkaKubernetesMongoDBNode.jsPrometheusPythonRedisTerraform
About the role
- Design and implement end-to-end DevOps solutions
- Collaborate with R&D to optimize development, deployment, reliability, failover scenarios, and scale
- Work on CI/CD, automations and DevSecOps domains
- Manage centralized observability and governance solutions
- Develop and integrate infrastructure tools in support of production
- Automate provisioning and configuration of Kubernetes and VM workloads
- Collaborate with developers, AI experts, and leadership
Requirements
- Minimum 4 years of experience in DevOps\SRE engineering
- Expert in Google Cloud Platform (GCP) development and solution architecture
- Experience in orchestrating services on Kubernetes
- Hands on experience with CI/CD processes
- Experience with monitoring and log/metric analysis using Google Cloud Observability, DataDog, Thanos, Prometheus, and Grafana
- Experience using Infrastructure as Code (IaC) tools such as Terraform
- Experience with management of systems like MongoDB, Redis, SingleStore, Kafka, MQTT
- Strong understanding of containerization
- Experience building and managing services written in NodeJS, Python, and Go