Develops Analytics-based solutions, integrates various Analytics-related capabilities and technologies, knowledge of scripting languages, system administration, automation tools, and CI/CD practices on Data Analytics Platform on public cloud (GCP/Azure/AWS).
The Solution/Dev Ops Engineer is an Engineer capable of implementing, adjusting, and maintaining the analytical components in GCP that steer and monitor a Gen AI chatbot.
Skills requirement - Medior.
EXPERIENCE & SKILLS NEEDED
Must-Have:
2+ years of experience/knowledge with GCP or AWS.
Experience in building and managing Continuous Integration and Continuous Deployment (CI/CD) pipelines using tools like Azure Dev Ops or Github Actions.
Terraform knowledge for automating infrastructure provisioning and management.
Proficiency in scripting languages such as Bash.
Monitoring and Logging: Skills in setting up and managing monitoring and logging solutions using tools like GCP Cloud Monitoring & Logging (ex: Stackdriver) or alternatively Prometheus, Grafana, or ELK stack.
Understanding of networking concepts, including VPC, DNS, load balancing, and firewalls.
Nice to Have:
In-depth knowledge of containers, and GCP services like Cloud Run or Kubernetes.
Proficiency in languages such as Python or Golang for automating tasks and managing infrastructure.
Knowledge in secure authentication and encrypted workloads (OIDC, KMS, client/server SSL/TLS, etc).
A GCP Professional certification for a track like Cloud Architect, Cloud Developer, Data Engineer, or similar).
Contribution to Open-Source projects is an advantage.