Senior Cost Optimization Engineer

Position Overview
Are you passionate about technology and excited by the challenge of turning complex cloud billing data into strategic cost savings? Do you thrive on solving puzzles with AWS and Azure platforms while delivering measurable Engineering impact? We're looking for a self-driven technology enthusiast who sees cost optimization not just as expense reduction, but as engineering excellence in action
Key Responsibilities
Cost Analysis & Optimization
Lead comprehensive cost optimization of AWS and Azure cloud services, infrastructure, and technology spend for all Arkose Labs products and services while maintaining operational efficiency.
Analysis of AWS and Azure billing data, usage data from asset inventory and monitoring utilization data to assess Engineering teams' cloud consumption, identify wasteful spend, and provide actionable insights to optimize spend
Financial analysis to identify trends, patterns, and anomalies in spending and financial performance across all Arkose Labs products
Conduct deep-dive investigation of cost overruns and optimization opportunities through data-driven analysis
Develop and maintain cost optimization strategies, roadmaps, and forecasting models
Technical Leadership & Automation
Automation with serverless products on AWS (Lambda, Step Functions, EventBridge) and Azure (Functions, Logic Apps, Event Grid), Python, Terraform etc. to repeat analysis, data collection, recommendation generation, and track benefit implementation to reduce Cost overruns.
Create and maintain cost attribution models to specific cost centers and automated reporting dashboards
Implement cloud cost governance frameworks and best practices
Stakeholder Engagement & Implementation
Engage with Engineering & Cloud Platform teams to drive optimization implementation
Work closely with engineering teams to understand infrastructure requirements and provide technical recommendations for cost-effective architecture improvements
Present findings and recommendations to senior leadership and stakeholders
Process Improvement & Governance
Establish KPIs and metrics to track cost optimization progress and benefit realization
Develop cost optimization playbooks, documentation, and training materials
Conduct knowledge sharing sessions with engineering teams
Required Qualifications
Infrastructure & Cloud technology industry experience (6+ Years)
Proficient in AWS and Azure infrastructure and services with hands-on experience in cost management tools (AWS Cost Explorer, Azure Cost Management)
Proficient in Python, AWS/Azure CLI, Terraform, and GitHub workflows (4+ Years)
Proficient in data analysis tools e.g., Excel, SQL (4+ Years)
Experience with cloud architecture patterns, containerization (Docker, Kubernetes), and CI/CD pipelines
Ability to analyze complex data sets, identify patterns, and draw actionable insights
Ability to translate complex technical data into business insights
Experience in Engineering, Cost Optimization, and reducing Cloud spend
Knowledge of Engineering practices and cost optimization methodologies
Education & Certifications
Bachelor's degree in Engineering (Computer Science) or similar degree in Computer Science.
Cloud certifications (AWS Certified Cloud Practitioner, Azure Fundamentals, Kubernetes) preferred
Key Competencies
Self-Driven: Ability to work independently and take initiative on complex optimization projects
Technical Passion: Real passion for technology with continuous learning mindset
Communication: Excellent written and verbal communication skills for technical and non-technical audiences
Collaboration: Proven ability to work effectively with cross-functional engineering and application teams
Results-Oriented: Track record of delivering measurable cost optimization results
Reporting Structure
This position reports to the Director of Engineering, Pune and collaborate closely with SVP of Engineering as well as other engineering leaders globally.

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