Grid dynamics is embarking on a re-architecture of vehicle commerce as a headless native GCP solution. The current solution is based on SAP Hybris and is hosted on Azure. We are looking for a GCP partner to accelerate the GCP platform development and testing in support of this re-architecture effort.
Items to accelerate as part of a Microservices platform include.
- Strongest Cloud knowledge is GCP (3-5 years)
- Implemented GKE for a client.
- Implemented Anthos Service Mesh for a client.
- Supported Multi-Region App Deployments
- Implemented Cloud Run Apps.
- Implemented Shared VPCs.
- Dataflow Experience is a plus
- SAP/Hybris experience is a plus.
- Great communication skills.
Tech Stack :-
Roles & Responsibilities :-
* Min. 2+ years’ experience with establishing technical strategy and designing cloud hybrid architecture at an enterprise level
* Min 2+ years of experience leading large-scale network migrations to GCP (i.e. Google Cloud Load Balancing, DNS, Interconnect, CDN, Compute, Networking, Storage, DR, Security, Monitoring, etc.)
* Google Cloud Certified - Professional Cloud Architect or experience with Google Cloud Platform (GCP) or Certifications - AWS Certified Solutions Architect, AWS Certified DevOps Engineer
* Demonstrated Knowledge of Security, Identity and Access Management (IAM), Key Management, Access Controls and Security Protocols, Network routing, Firewalls, ACL's, cloud IaaS components on GCP
* Experience in scalable networking design including high availability, redundancy, fail-over and load balancing.
* Develop enterprise cloud guidelines, Devops tooling and CICD, continuous testing and end to end automation
* Design and Implement IaaS and PaaS solutions. Experience with Anthos, Splunk and Dynatrace is nice to have
* Leading requirements gathering, analysis and solutioning for large scale GCP cloud based solutions
* Automate provisioning of networks and access (Organization, Routes/Firewalls, IAM, Policy)
Min, 3-5 relevant years with expertise in GCP services (i.e. Cloud Services Platform, Google Kubernetes Engine, Compute Engine, Cloud Interconnect).
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