The candidate should have excellent understanding of Google Cloud Services like GAE, GCE, GKE,
GCF, Cloud Storage, Cloud SQL (MySQL Postgre),Cloud Firestore, Cloud Datastore, Cloud
Filestore, Cloud Pub.
Experience in architecting small scale, mid scale and large scale applications with Google Cloud
Platform (GCP)
Experience in development and writing unit test cases.
Hand on development experience in Java or Python
To be the right fit, you'll need:
Hands on experience in Google Cloud Services like GAE, GCE, GKE, GCF, Cloud Storage.
Hands on experience in Java or Python.
Hands on with GCP Compute & Networking services i.e. Compute Engine, App Engine,
Kubernetes Engine, Cloud Function, Networking (VPC, Firewall, Load Balancer),Cloud SQL,
Datastore.
Hands on experience in Cloud compute services, Cloud Function, Networking, Loadbalancing,
Autoscaling, App Engine.
Strong understanding of distributed systems and big data ecosystem.
Strong understanding of designing high performance, fault tolerant distributed software
solutions.
Experience with PaaS technologies such as Cloud Foundry and/or OpenShift
Experience in no-sql databases such as MongoDB, Couchbase or DynamoDB
Experience in streaming technologies like Spark streaming or Storm
Familiarity with containerization technologies such as docker and swarm and kubernetes
Familiarity with Unix/Linux OS and shell scripts.
It’s good to have:
Cloud Formation experience
Knowledge of OpenStack is good to have and working knowledge of Mesos / YARN is a plus.
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