Clara is hiring a Developer Experience Engineer (Engenheiro de Experiência do Desenvolvedor AI) - Remote

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. Role Summary We're looking for a Developer Experience Engineer to revolutionize the development experience at Clara by building a self-service platform that automates and simplifies infrastructure, deployments, and operations. You'll be responsible for eliminating friction in the development lifecycle, enabling engineering teams to focus on delivering business value. Key Responsibilities Developer Experience & Self-Service Platform Design and maintain a developer portal (Backstage.io or similar) as the central hub for resource management Build abstractions and APIs that enable developers to provision resources without manual intervention Implement self-service workflows for environment creation, configurations, and permissions Create reusable templates and blueprints for services, repositories, and pipelines CI/CD & Automation Design, implement, and optimize highly automated CI/CD pipelines Reduce build and deployment times through intelligent caching, parallelization, and optimizations Implement GitOps and continuous deployment with automated rollback capabilities Automate testing (unit, integration, e2e) in pipelines with clear reporting Create advanced deployment strategies (blue-green, canary, feature flags) Ephemeral Environments Design and implement ephemeral/preview environment solutions for each PR/branch Automate the complete lifecycle: creation, configuration, and cleanup Optimize costs through auto-scaling, scheduling, and garbage collection of unused resources Integrate ephemeral environments with code review and testing workflows Observability & Alerting Implement intelligent alerting systems with noise reduction and event correlation Configure dashboards and SLI/SLO metrics for critical services Establish automated runbooks and auto-remediation for common incidents Integrate observability (logs, metrics, traces) into the developer portal Infrastructure as Code & Security Maintain and evolve infrastructure as code (Terraform, CloudFormation, etc.) Implement automated security controls (policy as code, security scanning) Manage secrets, configurations, and access securely and with full auditability Apply least privilege and zero-trust principles across all systems AI/ML Ops Integration Explore and implement AI tools for resource optimization and failure prediction Automate operational tasks using ML (anomaly detection, capacity planning, incident classification) Evaluate and adopt emerging AI Ops tools Technical Requirements Must Have 5+ years of experience in DevOps/SRE/Platform Engineering Mastery of cloud providers (preferably AWS) Solid experience with Kubernetes and microservices architectures Expertise in CI/CD tools (GitHub Actions, GitLab CI, Jenkins, ArgoCD) Proficiency in Infrastructure as Code (Terraform, Pulumi, CloudFormation) Experience with containers (Docker, Kubernetes, ECS/EKS) Advanced scripting skills (Python, Bash, Go) Knowledge of observability tools (Prometheus, Grafana, ELK, Datadog, New Relic) Nice to Have Experience with Backstage.io or similar developer portal platforms FinOps knowledge and cloud cost optimization Experience in FinTech organizations or highly regulated environments Familiarity with AI Ops tools (AIOps platforms, ML-based monitoring) Cloud certifications (AWS Solutions Architect, CKA, etc.) Experience with service mesh (Istio, Linkerd) Compliance and security knowledge (PCI-DSS, SOC2) Key Skills Automation obsession: If something is done twice, it should be automated Product mindset: Treat internal platform as a product with "customers" (developers) Ability to abstract complexity: Make the complex simple for end users Effective communication: Document clearly, create runbooks, and educate teams Problem solving: Systems thinking to solve problems at their root Continuous improvement mindset: Constantly seek ways to optimize and simplify What You'll Build Self-Service Portal: Unified interface where developers can: Create new services from templates Provision ephemeral environments in seconds Configure alerts and dashboards with clicks Request access and permissions with automated approvals Intelligent Pipelines: CI/CD that: Detects changes and runs only relevant tests Auto-deploys to production with quality gates Auto-rollback on failures Provides instant feedback to developers On-Demand Environments: System that: Creates complete environments per PR in