QA Automation Engineer

• Liderar iniciativas de qualidade e automação em projetos de grande impacto.
• Responsável por desenhar frameworks robustos e garantir escalabilidade dos testes.
• Atuar como referência técnica para o time de QA.
• Promover as melhores práticas e a cultura de qualidade desde o início do ciclo de desenvolvimento.

Analista de Automação de Testes – Sênior

• Identify, design and deliver automations that reduce manual work and improve operational efficiency
• Design and implement end-to-end workflows using platforms such as Workato and Microsoft Power Automate
• Build integrations between SaaS platforms, cloud databases and internal systems using APIs, JSON data transformations and webhooks
• Develop RPA (Robotic Process Automation) solutions for processes that cannot be integrated directly via APIs
• Introduce AI-enabled intelligent steps into workflows for text classification, summarization and data extraction
• Create reusable automation components, custom connectors, templates and patterns to accelerate pipeline delivery
• Monitor automation performance, troubleshoot cloud flows and optimize workflows to improve scalability and maintainability
• Document automated solutions and operating procedures clearly
• Establish automation governance and best practices while evaluating new technologies to improve the landscape

Mid Automation Engineer – Workato, Power Platform, Mulesoft

• Define and implement SLOs, SLIs, and reliability practices across cloud services
• Build and maintain observability environments using Prometheus, Grafana, Alertmanager, Loki, and related tooling
• Reduce operational toil through automation and infrastructure engineering initiatives
• Support incident management processes, post-mortems, runbooks, and operational workflows
• Collaborate on Kubernetes operations, cluster lifecycle management, and infrastructure scalability
• Implement GitOps workflows using tools such as ArgoCD, Flux, and Infrastructure-as-Code frameworks
• Design and develop AI-powered operational tools and internal assistants
• Build automation workflows integrating cloud APIs, ticketing systems, Slack, dashboards, and operational platforms
• Integrate LLMs and AI services into internal workflows using APIs and RAG architectures
• Develop AI-driven reporting, incident summarization, and operational intelligence solutions
• Evaluate and prototype agentic AI frameworks and automation platforms
• Develop Infrastructure-as-Code environments using Terraform, Ansible, and related technologies
• Build CI/CD pipelines and infrastructure validation workflows
• Automate provisioning, upgrades, monitoring, and infrastructure operations across distributed environments
• Improve deployment reliability and operational visibility across cloud services
• Help establish SRE best practices across engineering teams
• Collaborate with infrastructure, support, operations, and leadership teams to identify automation opportunities
• Maintain clear technical documentation for systems, workflows, and operational processes
• Support tooling evaluation and technical decision-making related to cloud infrastructure and AI operations

SRE, AI Automation Engineer

• Build, configure, and optimize AI agents across Glean, Copilot, and AWS Bedrock.
• Implement RAG patterns, prompt engineering, and structured output workflows where required.
• Integrate enterprise data sources (SharePoint, Dynamics, Confluence, ADO, Fabric) into AI solutions.
• Develop and maintain reusable components, APIs, and automation modules for AI-driven use cases.
• Write clean, maintainable code using modern programming languages (Python, TypeScript/JavaScript, C#, or similar).
• Design and develop microservices, APIs, and serverless functions to support AI and automation workflows.
• Build automations using enterprise tools (e.g., Power Automate, custom APIs, scripting).
• Follow engineering best practices including CI/CD, version control, unit testing, and documentation.
• Implement and maintain integrations between AI platforms and enterprise systems.

AI & Automation Engineer

• Design and implement workflow automation and system integrations across enterprise SaaS platforms and internal systems.
• Build cloud-native automation services and event-driven workflows using modern cloud platforms and APIs.
• Develop integrations involving communication systems, ticketing platforms, CRM/workflow systems, and operational tools.
• Implement secure OAuth-based authentication and enterprise access control models.
• Build scalable orchestration services, queue-based processing, retry handling, and monitoring capabilities.
• Develop AI-assisted operational workflows including classification, routing, summarization, extraction, and response assistance.
• Design and maintain integration APIs, webhooks, and asynchronous processing pipelines.
• Collaborate with operations, support, product, and engineering teams to identify automation opportunities and deliver workflow improvements.
• Build observability, telemetry, audit logging, and operational reporting capabilities.
• Ensure automation solutions meet security, compliance, governance, and reliability standards.
• Leverage modern AI development tools (CursorAI, GitHub Copilot, ChatGPT, etc.) to improve engineering productivity and delivery speed.
• Work closely with the technology team to ensure architectural and design alignment with Enumerate's technology strategy.

EFS Automation Engineer

• Provision and manage resources in our Private Cloud (CloudStack), ensuring that 100% of the infrastructure is delivered via Terraform (IaC).
• Maintain and evolve the XenServer hypervisor layer and the CloudStack orchestration platform.
• Continuously monitor the environment using Tenable, identifying security gaps and ensuring compliance.
• Scale OS patch automation using Ansible and n8n, ensuring secure, zero-downtime updates (rolling updates).
• Eliminate manual tasks by converting vulnerability remediations into reusable, automated playbooks.
• Ensure environment integrity through GitOps, where Git is the single source of truth and all changes go through code review and CI/CD pipelines.
• Connect tools by developing intelligent flows in n8n to integrate security alerts with our messaging and automation systems.

Cloud Systems & Automation Engineer – DevSecOps

• Analyzing workflows across global teams to identify automation opportunities using generative and traditional AI.
• Developing and implementing automations that connect our tool ecosystem (GCP and AWS clouds, Notion, CRM, Jira, GitHub, Google and Microsoft Workspace) with LLMs and AI agents.
• Acting as the steward of internal AI productivity tools, ensuring they are user-friendly for non-technical users and deliver real ROI.
• Enabling employees across functions to use AI tools (Prompt Engineering, agents) to maximize individual productivity.
• Ensuring all internal automations comply with global privacy and data security regulations (LGPD, GDPR).

AI Automation Engineer

• What you'll do
• Develop scalable backend services and APIs
• Build automation platforms and workflow orchestration
• Integrate systems and correlate data from multiple sources
• Develop solutions using LLMs (GenAI), RAG, and agents
• Automate risk, vulnerability, and governance processes
• Create data pipelines and search mechanisms
• Evolve proofs of concept (POCs) into production

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