Cloud Enterprise Architect

12 hours ago

Reston, Virginia, United States Birlasoft Full time

About Birlasoft:

Birlasoft is a pioneering organization where domain expertise, enterprise solutions, and digital technologies converge to redefine business processes. Our consultative and design thinking approach drives societal progress by enabling our customers to run businesses with unmatched efficiency and innovation. As part of the CK Birla Group, a multibillion-dollar enterprise, we boast a 12,500+ professional team committed to upholding the Group's 162-year legacy. Our core values prioritize Diversity, Equity, and Inclusion (DEI) initiatives, along with Corporate Sustainable Responsibility (CSR) activities, demonstrating our dedication to building inclusive and sustainable communities.

Cloud Enterprise/Application Architect:

Location - Raritan, NJ

4 Days onsite


• Do not need Infra candidates.


• Should be with Machine Learning and Data Sciences background.


• Should know

  • Vision API
  • ML Must
  • DOC AI / Vertex AI

Key Responsibilities:

  • 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 in order 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.

Machine Learning:

  • 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.

Requirements:

  • 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.

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