Sr Cloud Engineer
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Sr Cloud Engineer (AWS/Azure/GCP): Maintain vendor relationships and monitor performance while analyzing cloud billing and usage data to drive cost optimization and engineering decision-making with an accent on AWS KPIs, price optimization initiatives (RIs and Monthly Savings Plans), and building analytics and monitoring dashboards. Focus on extracting large-scale datasets with optimized SQL, Python, and R, configuring Looker/Lightdash reporting, and creating Grafana dashboards and alerts to detect anomalies in service metrics.
Company
is a Fortune 500 platform for managing people, money, and agents.
What you will do
- Maintain relationships and monitor performance of IT vendors delivering outsourced services.
- Analyze actuals vs. budget/forecast across public clouds (AWS, Azure, GCP) to identify waste, optimization opportunities, and utilization rates.
- Extract and analyze large-scale cloud billing and usage datasets to support engineering and finance decision-making.
- Identify, implement, and maintain cloud price optimization initiatives with vendors, including Reserved Instances (RIs) and Monthly Savings Plans.
- Define and maintain AWS Key Performance Indicators (KPIs) and monitor service level objectives.
- Build dashboards and alerts using Looker/Lightdash and Grafana to track metrics and flag significant changes for teams to address anomalies.
Requirements
- Master’s degree in Data Science, Data Analytics, or a related field.
- University-level coursework, research project, internship, or thesis in public cloud GCP BigQuery data analysis.
- University-level coursework, research project, internship, or thesis in cloud data machine learning modeling.
- University-level coursework, research project, internship, or thesis in cloud data visualization using Python and SQL.
- University-level coursework, research project, internship, or thesis in extracting and processing large-scale datasets using SQL and Python.
- University-level coursework, research project, internship, or thesis in configuring analytics platforms comparable to Looker to build dashboards and reports.
Culture & Benefits
- Hybrid Flex Work Model: at least 50% in-person time each quarter in a office or with customers, prospects, or partners.
- Compensation varies by work location; role may be eligible for bonus/commission and annual refresh stock grants.
- Company benefits and long-term support for growth and development.
Hiring process
- Compensation details shared by recruiters during the hiring process.
- Interviews and evaluation steps are not specified in the posting.
Location: USA, MA, Boston
Salary Range: $161,300 - $241,900
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