Cloud Optimization Research Engineer - AWS - Remote

Overview

CloudZero is the leading cloud cost intelligence platform that empowers businesses to optimize cloud spending and align it with their business goals. We are seeking Cloud Optimization Research Engineers with subject matter expertise in AWS. You should be passionate about analyzing workloads, identifying cost-saving opportunities, and designing the algorithms that drive automated insights for our enterprise customers.

In Short

• Lead Innovation in Cloud Efficiency: Drive research and development of cutting-edge strategies that empower businesses to optimize their cloud spending without compromising performance or security.
• Solve High-Stakes Challenges: Tackle complex cloud resource management issues, helping companies reduce waste and maximize the value of their cloud investments.
• Shape Industry Standards: Collaborate with top experts and data science teams to establish best practices for cloud cost governance and architectural excellence.
• Deliver Transformative Impact: Partner with customers to develop data-driven, scalable solutions that ensure every dollar invested in cloud infrastructure fuels growth and innovation.
• Integrate Cutting-Edge Technology: Work with our data science team to embed machine learning and AI into your algorithms, enhancing automation and precision in cost optimization.
• Mentor and Collaborate: Provide guidance and expertise to colleagues and customers alike, fostering a culture of continuous improvement and technical excellence.

Requirements

• Cost Analysis & Optimization:
• Evaluate customer cloud workloads to pinpoint inefficiencies and cost-saving opportunities (e.g., optimizing compute instances, eliminating unattached storage, adjusting storage tiers).
• Document the methodologies, required data, and processes used in your analyses.
• Algorithm Design & Automation:
• Design scalable algorithms that automate the detection of cost waste, integrating seamlessly with our existing reporting and alerting system.
• Collaborate with our data science team to incorporate ML/AI techniques for enhanced insight generation.
• Research & Continuous Improvement:
• Lead research into new potential insights for cloud cost reduction.
• Build tests and validation methods to ensure the reliability of your optimization algorithms.
• Customer Collaboration & Advisory:
• Engage with customers to understand their cloud environments and tailor recommendations for cost optimization.
• Provide clear remediation guidelines and best practices that drive actionable change.
• Industry Engagement:
• Stay current on evolving cloud pricing models, industry trends, and best practices across AWS, Azure, GCP, and beyond.
• Contribute to developing standards that set new benchmarks for cloud cost efficiency.