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Fractal Analytics

Enterprise AI solutions for decision making

GCP Platform Engineer

Cloud EngineeringConfirmed live in the last 24 hours
Full-timeWashington, USARemote

About the Job

Requirements

  • In-depth knowledge of Google Cloud Platform services, particularly BigQuery, Databricks, and Kubernetes.
  • Experience with data modeling, extract, transform, and load processes, and data warehousing.
  • A proven track record optimizing data processing and query performance in BigQuery.
  • Proficiency deploying and managing containerized applications using Kubernetes.
  • Familiarity with Google Cloud Platform billing and cost management tools to monitor and optimize cloud expenditure.
  • Experience with Google Cloud Platform monitoring and logging tools, such as Stackdriver and Cloud Monitoring.
  • Eight to twelve years of experience.
  • Five to seven years of experience as a Google Cloud Platform Solution Architect.
  • A B.E./B.Tech, BCA, MCA, or equivalent qualification.
  • Google Cloud Professional Cloud Architect certification.

Responsibilities

  • Design, implement, and maintain highly available, scalable, and reliable infrastructure.
  • Work closely with clients to deliver outcomes according to the statement of work and service-level agreement.
  • Architect, design, develop, deploy, and document new systems or maintain existing systems on cloud platforms according to specifications.
  • Collaborate with Agile development teams and provide continuous guidance to influence design decisions for existing and new products and solutions related to cloud enablement, migration, and infrastructure needs, promoting cloud best practices and economies of scale.
  • Engage customers to understand their use cases and operational needs, and engage with cloud platform vendors to understand technology roadmaps and evolution, translating these into technology guidance for product teams.
  • Design for cloud security and compliance and ensure solution and operational reliability.
  • Conduct audits of current cloud utilization and recommend cloud optimization and security changes.
  • Act as a mentor and technical consultant to various teams.

Desired Qualifications

  • Oversee the architecture and management of Google Cloud Platform resources, particularly BigQuery, Databricks, and Kubernetes.
  • Design scalable and efficient data architectures tailored to business needs.
  • Analyze and optimize data-processing workloads to improve performance and reduce costs.
  • Implement monitoring and performance metrics for data pipelines and applications.
  • Develop cost-effective resource-usage strategies, including budget tracking and optimization techniques.
  • Work closely with data engineers, developers, and stakeholders to ensure seamless integration and functionality.

About the Company

Fractal Analytics

Enterprise AI solutions for decision making

Fractal Analytics provides AI-powered analytics and decision-support solutions for large enterprises, including Fortune 500 companies. Its products combine data science, machine learning, and natural language processing to extract insights, automate tasks, and enable conversations: Crux Intelligence (BI), Senseforth.ai (conversational AI), Eugenie.ai (sustainability), and Asper.ai (revenue growth). The company differentiates itself with a broad, enterprise-focused product portfolio and a global delivery footprint of 4,000+ employees across 16 locations, plus industry analyst recognition and workplace awards. Its goal is to power every human decision in the enterprise by bringing AI, engineering, and design together to help leading companies make better decisions.

Company size
5,001-10,000
Company stage
IPO
Headquarters
New York City, New York
Founded
2000

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