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Job Details

Responsible for overall solution requirements &architecture discussion, the understand organization"s obstacles with business andtechnical partners to ensure solutions and provide due diligence.

Design, build and configure applications to meet businessprocess and application requirements.

Work on Google Cloud Platform Architecture for thebusiness needs.

Work with Google Cloud SQL to handle the user data/client data.

Handle Google Cloud Storage inorder to use the storageservice efficiently

Role as GCP Architect and SME in multiple projects

Represent in client meetings, respond to RFPs providingthe solution Arch. Min one year Experience in Architecting applications forGoogle Cloud platform.

Experience in Architecting and designing solutionsleveraging services like Cloud Bigquery, Clod Data Flow, Cloud Pub OR Sub,Cloud BigTable

Work with Google Cloud SQL to handle the user data/client data.

Responsible for Architecture Design and design solutionsto meet functional and non-functional requirements.

Ensure all requirement clarifications are closed and useright GCP services while design solutions.

Lead the technical solution and coordination. Point ofcontact for technical design and deliverables.

Must be able to take a problem statement, analyze itthrough various solutioning options and be able to walk us / customer throughon a proposed solution. 

Candidate must be able to give concrete and convincingexamples on why he/she chose the solution and why that solution is the bestoption.

Responsibilities

GCP Application/Solution Architect:

Location ? Raritan, NJ

5 Days onsite

Client : Johnson & Johnson

No OPT/CPT

? Do not need Infra candidates.

?  Should be with Machine Learning and Data Sciences background.

? Should know Vision API, ML Must DOC AI / Vertex AI, Cloud Architect GCP, AWS          

Develop and implement machine learning models using GCP services such as AI Platform, BigQuery ML, and TensorFlow.

Collaborate with data scientists and engineers to understand business requirements and design effective ML solutions.

Evaluated and optimized the performance of machine learning models to ensure scalability and efficiency.

Worked with large datasets to extract valuable insights and contribute to data preprocessing and feature engineering. 

Computer Science/Information technology degree, Bachelors for sure (masters preferably)

10+ years of experience in technical solutions implementation, architecture design, evaluation, and investigation in a cloud computing environment preferably Google

Experienced in private and public cloud architectures, pros and cons, migration strategies, organizations data strategies.

Experienced in integrating and migrating on-premises systems to Google cloud.

Experienced in designing and managing databases with a strong understanding of database concepts, troubleshooting skills and root cause analysis.

Experienced in RDBMS like Oracle, MySQL and PostgreSQL

Experienced in predicting and overseeing infrastructure/software upgrades.

Experienced in Infrastructure (Server, Storage, and Database) discovery, design, build, and migration.

Experienced in predicting and overseeing infrastructure/software upgrades.

Understanding of Data archival systems, Data management and Data governance concepts with ability to advocate for architecture that supports the governance/management of data

Experienced in Google Cloud Datastore, Google CloudSQL, Google Cloud Spanner, Google DataFlow.

Experienced in containerization solutions (Kubernetes and Docker) and Microservices on GCP

Experience implementing solutions with Windows and Lunix as well.

Development background of any of the following programming languages (Python, Java, shell scripting, PL/SQL)

Experienced in Terraform. Google Certified Professional Cloud Architect is preferred but hands-on experience with GCP services using GCP Console is the key.


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