Cloud Cost Optimization Engineer

At Techjays, we are driving the future of artificial intelligence with a bold mission to empower businesses worldwide by helping them build AI solutions that transform industries. As an established leader in the AI space, we combine deep expertise with a collaborative, agile approach to deliver impactful technology that drives meaningful change. Our global team consists of professionals who have honed their skills at leading companies such as Google, Akamai, NetApp, ADP, Cognizant Consulting, and Capgemini. With engineering teams across the globe, we deliver tailored AI software and services to clients ranging from startups to large-scale enterprises. Be part of a company that’s pushing the boundaries of digital transformation. At Techjays, you’ll work on exciting projects that redefine industries, innovate with the latest technologies, and contribute to solutions that make a real-world impact. Join us on our journey to shape the future with AI. We are looking for a Cloud Cost Optimization Engineer with deep expertise in cloud financial operations (FinOps), cost modeling, automation, and AI-enhanced optimization. You will work closely with engineering, cloud operations, SRE, governance, and finance teams to improve cloud cost efficiency, forecast spending, and build automated workflows that ensure sustainable scaling across AWS and Azure. Years of Experience : 6 - 8 years Location : Remote Primary Skills: AWS (advanced certifications), Kubernetes, Docker, Terraform, Helm charts, Python scripting Cloud certifications (AWS Certified Cloud Practitioner, Azure Fundamentals, Kubernetes) preferred Cost Analysis & Optimization Lead comprehensive cost optimization of AWS and Azure cloud services and infrastructure 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 Conduct deep-dive investigation of cost overruns and optimization opportunities through data-driven analysis 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. Implement cloud cost governance frameworks and best practices Stakeholder Engagement & Implementation Engage with Engineering & Cloud Platform teams to drive optimization implementation Develop cost optimization playbooks, documentation, and training materials Conduct knowledge sharing sessions with engineering teams 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 Paid holidays and flexible paid time away Casual dress code & flexible working environment Work in an engaging, fast paced environment with ample opportunities for professional development. Medical Insurance covering self & family up to 4 lakhs per person.