DevOps AWS Cost Optimization Specialist (Especialista em Otimização de Custos da AWS) - Remote

Clara
São Paulo, São Paulo, BrazilPosted 7 April 2026

Job Description

Ready to accelerate your career? Clara is the fastest-growing company in Latin America. We've built the leading solution for companies to make and manage all their payments. We already help over 20,000 large and growing businesses operate with agility and financial clarity through locally issued corporate cards, bill pay, financing, and a powerful B2B platform built for scale. Clara is backed by some of the most successful investors in the world, including top regional VCs like monashees, Kaszek, and Canary, and leading global funds like Notable Capital, Coatue, DST Global Partners, ICONIQ Growth, General Catalyst, Citi Ventures, SV Angel, Citius, Endeavor Catalyst, and Goldman Sachs - in addition to dozens of angel investors and local family offices. We’re building the financial infrastructure that powers high-performing organizations across the region. We invite you to join us if you want to be part of a fast-paced environment that will accelerate your career and support you to do some of the best work of your life alongside a passionate and committed team distributed across the Americas. What you'll do We're looking for an AWS Cost Optimization Specialist . At Clara, our infrastructure is the backbone of our financial services, and managing it efficiently is key to our scalability and unit economics. You will design and execute Clara’s AWS cost optimization strategy, moving beyond simple monitoring to proactive financial engineering. Your mission is to bridge the gap between Engineering and Finance, ensuring that every dollar spent on the cloud translates into direct value for our customers. You will drive visibility into cost per transaction and cost per product while building the automated governance required for a high-growth fintech. Primary Responsibilities: Strategy Analysis: Design and execute the global AWS cost optimization strategy, continuously identifying savings across EC2 , ECS , and Aurora clusters. Governance Tagging: Implement standardized tagging strategies for precise cost allocation by domain, squad, country, and product. Infrastructure Optimization: Optimize AWS Kafka clusters, OpenSearch storage strategies, and networking/data transfer costs to ensure lean operations. FinOps Automation: Define and implement automated shutdown policies for non-production environments and configure advanced anomaly detection and budget alerts. Data Dashboards: Build executive and operational dashboards using AWS Cost Explorer, Athena , or QuickSight to provide real-time visibility into cloud spend. Architectural Partnership: Partner with engineering teams to design cost-efficient architectures and establish long-term cloud financial governance standards. Who you are “We’re looking for someone who meets the minimum requirements to be considered for the role. The preferred qualifications are a bonus, not a requirement.” Must haves: 4+ years of hands-on AWS experience in production environments, with a proven track record in cloud cost optimization initiatives. Strong technical knowledge of EC2 , EBS, RDS, S3, EKS , Lambda, and CloudFront. Mastery of AWS Savings Plans, Reserved Instances, and multi-account environment management via AWS Organizations. Experience implementing FinOps best practices and strong understanding of cost modeling. Experience with Infrastructure as Code, specifically Terraform . Ability to analyze cost data using SQL , Athena , or Python . Working proficiency in English and Spanish. Experience or interest in AI tools to automate workflows and detect spending patterns. Nice to haves: AWS Certifications (Solutions Architect, DevOps, or Advanced Networking). Experience in regulated environments (PCI, SOC2). Experience with cloud cost management and optimization platforms (CloudHealth, CloudCheckr, or native AWS cost tools). Basic proficiency in Portuguese or a desire to learn it. A good sense of humor. Why join Clara At Clara, you’ll h ... (truncated, view full listing at source)
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