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.