Platform Engineer

• Dar suporte à manutenção de back-end e ao desenvolvimento de aplicações de suporte de RH
• Apoiar os processos e as necessidades de automação da FBS
• Desenvolver Canvas Apps, Model-Driven Apps e portais personalizados, adaptados aos requisitos do negócio
• Projetar e implementar workflows automatizados em nuvem e desktop usando o Power Automate
• Conectar e estruturar dados no Microsoft Dataverse, SharePoint, SQL Server, Dynamics 365 e APIs REST externas
• Criar dashboards interativos de business intelligence e visualizações de dados usando o Power BI
• Aplicar práticas de Application Lifecycle Management (ALM), regras de conformidade de segurança e políticas de Data Loss Prevention (DLP)
• Trabalhar em conjunto com equipes multifuncionais

FBS Associate – Power Platform Developer

• Own technical delivery of data projects from initial client conversations through architecture, implementation, and ongoing delivery
• Lead client discussions to understand business and technical requirements and translate ambiguous problems into technical solutions
• Design modern data architectures spanning ingestion, transformation, compute, storage, analytics, and BI layers
• Recommend architectures based on technical trade-offs, cost, scalability, maintainability, and client requirements
• Build and maintain production data pipelines, transformations, models, and platform components
• Work hands-on with Snowflake, Databricks, BigQuery, and/or Redshift
• Build and maintain SQL and dbt transformation workflows
• Work in AWS, GCP, and/or Azure environments, including deployment, infrastructure configuration, access, permissions, and cloud resources
• Take end-to-end ownership of delivery
• Manage multiple client projects with clear priorities, timelines, documentation, and follow-up
• Produce client-facing documentation, presentations, meeting notes, and project updates
• Collaborate with software and AI engineers on a proprietary platform deployed in customer cloud environments
• Contribute code and platform improvements
• Use AI tools to accelerate engineering, research, analysis, and development while understanding underlying technical decisions

Senior Data, Platform & Solutions Engineer

• Own data connector and skill requests end-to-end, from intake through access group creation, identity provider synchronization, connector registration, per-tool permission scoping, testing, documentation, and closure with the requester
• Configure and distribute platform capabilities including skills, plugins, agents, and connectors to appropriate audiences
• Choose between enterprise-wide and group-scoped distribution with clear understanding of scoping and permission controls
• Conduct security and quality reviews of third-party and externally authored skills, plugins, and connectors before release
• Assess dependencies and bundled scripts, including exposure to prompt injection and data exfiltration
• Replace manual console configuration with automated setup, registration, and provisioning through CI/CD pipelines and Terraform
• Build parameterized deployments across development, staging, and production environments
• Partner with security, identity, governance, and business teams to keep AI capabilities compliant

AI Platform Engineer

• Manually migrate 88 existing service accounts from standard user accounts to native platform service accounts
• Rotate, replace, and configure API tokens, SSH keys, and service credentials within CI/CD pipelines and automation workflows
• Securely decommission legacy access
• Update and replicate granular permissions, group access, and project-level scopes for automation identities
• Troubleshoot, test, and resolve CI/CD pipeline and automation integration issues during token cutovers
• Partner with engineering, DevOps, and project-owning teams to clarify resource ownership and verify post-migration pipeline functionality
• Process repetitive, parallel identity migration tasks and operational tickets systematically while maintaining audit trails

GitLab Administrator / Platform Engineer

• Maintain, modernize, automate, and continuously improve critical infrastructure platforms supporting network operations, observability, identity services, and enterprise infrastructure management
• Analyze problems and technical issues, propose solutions, and test, modify, automate, and integrate systems
• Evaluate technical challenges and determine the best path forward
• Analyze business, operational, and technical requirements
• Identify technical, operational, and timeline risks early in project lifecycles
• Design, test, integrate, and automate solutions across multiple platforms
• Support application onboarding, migrations, upgrades, and platform transformations
• Integrate platforms using APIs, automation frameworks, and Infrastructure as Code principles
• Define platform roadmaps and modernization strategies
• Drive continuous improvement to enhance reliability, scalability, security, and operational efficiency
• Manage platform lifecycle activities, including upgrades, migrations, vendor support, and decommissioning
• Improve automation capabilities and reduce operational complexity
• Support compliance, audit, vulnerability remediation, and security initiatives
• Work with leadership and partner teams to align technology investments with business objectives
• Contribute to current projects while shaping the future of assigned platforms and services

Network Automation Engineer – Platform

• Own the health, modernization, automation, and continuous improvement of critical infrastructure platforms
• Analyze problems and technical issues, offer solutions, and test, modify, automate, and integrate systems
• Shape the future of platforms and services under responsibility
• Evaluate technical challenges and determine the best path forward
• Analyze business, operational, and technical requirements
• Identify technical, operational, and timeline risks early in project lifecycles
• Design, test, integrate, and automate solutions across multiple platforms
• Support application onboarding, migrations, upgrades, and platform transformations
• Contribute to platform integrations using APIs, automation frameworks, and Infrastructure as Code principles
• Define platform roadmaps and modernization strategies
• Drive continuous improvement to enhance reliability, scalability, security, and operational efficiency
• Manage platform lifecycle activities including upgrades, migrations, vendor support, and decommissioning
• Improve automation capabilities and reduce operational complexity
• Support compliance, audit, vulnerability remediation, and security initiatives
• Work with leadership and partnering teams to align technology investments with business objectives

Senior Network Automation Engineer – Platform

• Build and evolve the intelligent agent platform, ensuring integration among data, models, tools, and APIs in large-scale enterprise environments
• Design and implement AI platform components, including Registry, Runtime, Evals, Observability, Governance, and mechanisms for integrating agents
• Integrate solutions using MCP and A2A protocols, enabling secure, asynchronous connectivity between enterprise systems and cognitive agents
• Design, develop, and maintain GenAI pipelines for agent training, evaluation, deployment, and monitoring
• Implement and scale LLMOps and AgentOps infrastructure, including experiment automation, agent versioning, and continuous delivery
• Implement end-to-end observability with logs, metrics, tracing, and dashboards using tools such as Datadog
• Develop and track quality, performance, cost, and value metrics for agents, models, and pipelines
• Ensure governance, compliance, and security for agents, pipelines, and data used by AI solutions
• Work with proprietary and open-source models, including OpenAI, Azure OpenAI, and Anthropic, applying RAG, fine-tuning, and prompt engineering
• Collaborate with software engineers, data engineers, architects, and AI scientists to build large-scale GenAI solutions

Platform Engineering Specialist

• Implement and operate workloads on Kubernetes/EKS clusters
• Apply best practices for operations, scalability using Karpenter and Spot Instances, resilience, and monitoring
• Build and evolve engineering automation, including a service catalog and templates
• Reduce the time between code completion and production deployment
• Develop and maintain reusable Terraform modules for AWS provisioning
• Pursue immutable, version-controlled infrastructure managed through a GitOps workflow
• Evolve the CI/CD pipeline with continuous delivery through ArgoCD
• Perform safe, reversible, and observable deployments
• Develop automations, internal tools, and applications to eliminate operational toil
• Transform manual infrastructure requests into self-service capabilities for squads
• Implement and maintain monitoring and observability stacks for applications and databases
• Implement cloud security and governance guardrails
• Resolve infrastructure incidents, contributing to mitigation, response, and root cause analysis
• Turn incident learnings into platform improvements
• Write and review infrastructure code
• Conduct code reviews and pair programming
• Document architecture decisions and infrastructure usage patterns
• Work with product, development, and InfoSec squads to align solutions and deliveries

Platform Engineer jobs in Brazil