GCP Application/Solution Architect:Location - Raritan, NJ5 Days onsitePosition Type - FTE. Can also try for 3months Contract to hire. No H1B Transfer. • 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 - Responsible for overall solution requirements & architecture discussion, understand organization's obstacles with business and technical partners to ensure solutions and provide due diligence.
- Design, build and configure applications to meet business process and application requirements.
- Work on Google Cloud Platform Architecture for the business needs.
- Work with Google Cloud SQL to handle the user data/ client data.
- Handle Google Cloud Storage inorder to use the storage service efficiently
- Role as GCP Architect and SME in multiple projects
- Represent in client meetings
- Respond to RFPs providing the solution Arch.
- Min one year Experience in Architecting applications for Google Cloud platform
- Experience in Architecting and designing solutions leveraging 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 solutions to meet functional and non-functional requirements.
- Ensure all requirement clarifications are closed and use right GCP services while design solutions.
- Lead the technical solution and coordination.
- Point of contact for technical design and deliverables.
- Must be able to take a problem statement, analyze it through various solutioning options and be able to walk us / customer through on a proposed solution. Candidate must be able to give concrete and convincing examples on
- why he/she chose the solution and why that solution is the best option.
ML - - 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.
Must have - - 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.
Preferred Skills - - 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.