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Tech Stack
Tools & technologiesAWSAzureCloudDockerGoogle Cloud PlatformJenkinsKubernetesRayTerraform
About the role
Key responsibilities & impact- Architect the project's technical foundation, ensuring scalable, secure and observable environments.
- Combine Kubernetes, automation, proactive security and FinOps to support our services.
- Design, implement and evolve cloud and Kubernetes environments for running applications, APIs, agents, AI services and data pipelines.
- Build and maintain CI/CD pipelines, focusing on security, standardization, traceability and delivery speed.
- Automate infrastructure provisioning using Infrastructure as Code practices.
- Implement observability standards, including logs, metrics, tracing, dashboards, alerts and platform health indicators.
- Support the operation of AI workloads, including inference services, embeddings, agent orchestration and integration components.
- Ensure best practices for security, environment segregation, secrets management, access control and infrastructure policies.
- Work on performance, availability, scalability, resilience and cost optimization.
- Create reusable patterns for environments, deployments, monitoring, security and operations.
- Work closely with AI, Data, Product, Full Stack and Machine Learning teams to translate technical needs into platform capabilities.
Requirements
What you’ll need- Hands-on experience with cloud, preferably AWS, Azure or GCP.
- Experience with Kubernetes, containers, Docker, Helm and managed cloud services.
- Knowledge of CI/CD, GitHub Actions, GitLab CI, Azure DevOps, Jenkins or equivalent tools.
- Experience with Terraform, Pulumi, CloudFormation or similar IaC tools.
- Knowledge of observability, monitoring, logging and tracing.
- Good understanding of networking, load balancing, security, authentication, authorization and high availability.
- Experience with production environments, incidents, operating critical services and continuous improvement.
- Ability to document technical standards and support architecture decisions.
- Experience with MLOps, LLMOps, AI platforms, model serving or GPU workloads.
- Familiarity with vLLM, Triton, NVIDIA NIM, MLflow, Kubeflow, Ray or similar tools.
- Experience with API Gateway, service mesh, secrets management and cloud security policies.
- Knowledge of FinOps and infrastructure cost optimization.
- Experience in enterprise environments with audit requirements, LGPD (Brazilian Data Protection Law), RBAC and governance.
Benefits
Comp & perks- BYOD reimbursement for device purchase
- BYOD allowance for use of personal device
- Home office allowance on iFood card — benefits provided as a free-balance to use where you want
- TotalPass
- Colab+ package with access to WellHub, Avus, Starbem and Dasa+ Saúde
- DIT - Temporary Disability Daily Allowance
- People Hub - Benefits Club
- Birthday day off
- Training and certifications
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
KubernetesCI/CDInfrastructure as Code (IaC)Cloud Services (AWS, Azure, GCP)TerraformDockerHelmObservabilityMLOpsAPI Gateway
Soft Skills
DocumentationCollaboration