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GCP Cloud Architect

Company Description:

Infostretch is a pure-play digital engineering services firm focused on helping companies accelerate their digital initiatives from strategy and planning through execution. We leverage deep technical expertise, Agile methodologies and data-driven intelligence to modernize systems of engagement and simplify human/tech interaction. We deliver custom solutions that meet customers’ technology needs wherever they are in their digital lifecycle. Backed by Goldman Sachs and Everstone Capital, Infostretch works with both large enterprises and emerging innovators -- putting digital to work to enable new products and business models, engage with customers in new ways, and create sustainable competitive differentiation.

Infostretch Corporation is seeking GCP Cloud Architect to be based in Santa Clara, CA.

Please note that to start the role it will be remote for 3 - 6 months but once this Covid19 is behind us - it will be an in-house role.

Minimum Qualifications:

  • Should have strong 3+ years' experience designing and deploying the solutions on AWS & GCP.
  • Should have experience to create the plan and define the strategies and design the solutions for migrating services between AWS and GCP.
  • Should have worked with EKS and GKE. Hands on experience working with k8s and docker.
  • Hands on experience working different storage and database services on AWS and GCP (like S3, RDS, Aurora, Big Query, Bigtable, Cloud SQL)
  • Hands on experience with Cloud Tasks, Memory store for Redis etc.
  • Experience working with synchronous, real-time, and asynchronous architectures in GCP
  • Knowledge of different enterprise and design patterns and experience in designing the highly secure, resilient, and high availability solutions in AWS and GCP
  • Should be able to create total cost of ownership analysis report
  • Ability to identify trade-offs of using various platform services on GCP
  • In-depth knowledge and strong experience creating and managing organizations, accounts/projects, IAM, VPC and VPNs on AWS & GCP
  • Experience setting up services based on AWS & GCP best practices for network and security, organization components, Logging & monitoring & operations, cloud architecture, billing etc.
  • Working experience on setting up container services (like ECR,GCR) and map-reduce services  (like EMR and Dataproc and Dataflow)
  • Experience in automation with AWS cloud formation and GCP cloud deployment manager
  • Experience working with load balancers and other networking concepts
  • Clear understanding on feature differences of AWS and GCP services like compute engines, storages, and databases etc.
  • Understanding of replications mechanisms for databases along with experience working with elastic search systems and systems like elastic cache.
  • Knowledge of GCP’s migrate for compute for computer engine manager, cloud extensions, waves feature & Wave UI and its architecture is plus.
  • Able to debug and resolve the issues in solution, architecture and setup for enterprise applications using AWS cloud trails and GCP cloud loggings.

 

Job Responsibilities 

  • Create blueprint, physical and deployment architecture of the existing AWS / GCP services setup and used
  • Create full fledge migration plan and strategy which have minimal impact and can be done incrementally / fully
  • Prepare the total cost of ownership analysis
  • Monitor the progress, identify the risks and challenges and define the mitigation plan
  • Review, Analyze and Test the completed tasks
  • Debug and Fix the issues at any points in the migration process
  • Document and create all required artifacts like run books, support FAQs, troubleshooting documents etc.

 

Education:

  • Bachelor’s Degree in Computer Science or related field.

Disclaimer:
If you feel that this is a good match for your skillsets, please submit a current word version of your resume along with a cover letter describing your skills, experience and salary expectations. We are an Equal Opportunity Employer (EOE). You can read our job applicant privacy policy here.

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Job Code: IFSSC1217202012

Category: Engineering

Job Type: Full-Time

Location: Santa Clara, CA, USA

Open Positions: 1

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