Engineer III – Data Analytics

Role Overview

• Technical Implementation: Design and implement automated cost monitoring, alerting, and optimization solutions across cloud platforms
• Develop and maintain cost allocation algorithms and tagging strategies for accurate cost attribution
• Build integrations between cloud billing APIs and internal cost management systems
• Create technical documentation and best practices for cost-efficient infrastructure patterns
• Collaborate with platform teams to implement cost optimization recommendations
• Engineering Excellence: Develop tooling and automation to support FinOps processes across fourteen product groups and eleven platform groups
• Build dashboards and reporting mechanisms for real-time cost visibility
• Implement cost guardrails and automated policies to prevent cost overruns
• Design scalable solutions for cost data collection, processing, and analysis
• Contribute to the TechOps Analytics Data Solution FinOps requirements
• Cross-functional Collaboration: Partner with product engineering teams to identify and implement cost optimization opportunities
• Work closely with Infrastructure Foundations Program to align technical solutions with FY27 Cost Reduction Program
• Support FinOps Working Group with technical expertise and implementation guidance
• Collaborate with Data Analytics Team on cost data pipeline development
• Provide technical input for FinOps capability development roadmap
• Continuous Improvement: Research and evaluate new cost optimization tools and techniques
• Contribute to FinOps governance structures and technical standards
• Mentor junior engineers on cost-conscious engineering practices
• Stay current with cloud platform pricing changes and optimization opportunities

Requirements

• Bachelor's degree in Computer Science, Engineering, or related technical field
• 5+ years of software engineering experience with focus on cloud infrastructure
• Strong programming skills in Python, Go, or similar languages
• Deep hands-on experience with cloud platforms (AWS, Azure, GCP) and their cost management tools
• Experience with infrastructure as code (Terraform, CloudFormation, etc.)
• Proficiency with monitoring and observability tools (Prometheus, Grafana, DataDog, etc.)
• Understanding of containerization and orchestration technologies (Docker, Kubernetes)
• Experience with CI/CD pipelines and DevOps practices
• FinOps Certified Practitioner certification (or commitment to obtain within 6 months)
• Experience in cybersecurity or SaaS industry
• Background with commitment-based discount programs (Reserved Instances, Savings Plans, CUDs)
• Experience with data pipeline development and ETL processes
• Familiarity with cost optimization tools (CloudHealth, Cloudability, etc.)
• Knowledge of database optimization and performance tuning

Tech Stack

• AWS
• Azure
• Cloud
• Cyber Security
• Docker
• ETL
• Google Cloud Platform
• Grafana
• Kubernetes
• Prometheus
• Python
• Terraform
• Go

Benefits

• Market leader in compensation and equity awards
• Comprehensive physical and mental wellness programs
• Competitive vacation and holidays for recharge
• Paid parental and adoption leaves
• Professional development opportunities for all employees regardless of level or role
• Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections
• Vibrant office culture with world class amenities
• Great Place to Work Certified™ across the globe