Cloud Engineer – Site Reliability Engineer, Senior

This is a fully remote position, open to applicants in Brazil.

📋 Description

• Spearhead the technical advancement of infrastructure on GCP, focusing mainly on GKE, Compute Engine, Cloud SQL, Cloud Storage, VPC, Load Balancing, IAM, Cloud DNS, Secret Manager, Pub/Sub, and BigQuery.

• Architect solutions with an emphasis on high availability, scalability, resilience, security, performance, and cost-effectiveness.

• Implement SRE best practices by establishing and monitoring SLIs, SLOs, and Error Budgets.

• Observe reliability metrics such as availability, latency, throughput, error rate, saturation, capacity, MTTR, and MTBF.

• Administer and conduct advanced troubleshooting on Kubernetes/GKE within production environments.

• Develop autoscaling strategies, capacity planning, resource management, and workload isolation.

• Advance the observability framework using tools like New Relic, OpenTelemetry, Prometheus, Grafana, and native cloud services.

• Generate dashboards, alerts, and both technical and business metrics to maintain actionable observability.

• Act as Incident Commander during critical situations and lead blameless postmortems.

• Oversee and enhance infrastructure as code through Terraform.

• Create and sustain reusable modules, configuration patterns, state management, and Terraform pipelines.

• Manage CI/CD pipelines utilizing GitHub Actions and deployment workflows with ArgoCD/GitOps.

• Execute rolling, blue/green, and canary deployment methodologies.

• Develop automation solutions using Go, Python, and Bash.

• Construct Platform Engineering solutions including self-service interfaces, templates, automation, and established best practices.

• Collaborate on cloud networking, security, governance, IAM/RBAC, secrets management, certificates, and encryption.

• Contribute to FinOps efforts for resource optimization, rightsizing, and minimizing waste.

• Design and validate Disaster Recovery plans covering backup, restoration, failover, RPO, and RTO.

• Execute performance and capacity planning to foresee bottlenecks and growth needs.

⛳️ Requirements

• A minimum of 5 years of experience managing critical production infrastructure in a public cloud setting.

• Extensive experience with Google Cloud Platform (GCP).

• Practical experience with Kubernetes in production settings, preferably GKE.

• In-depth knowledge of Terraform, including modules, state management, version control, and environmental organization.

• Proven experience in defining and managing SLIs, SLOs, and Error Budgets.

• Advanced troubleshooting capabilities in Linux, networking, DNS, HTTP, TLS, load balancers, and Kubernetes.

• Experience in automating tasks with Go, Python, and/or Bash.

• Familiarity with GitHub Actions, ArgoCD, and GitOps methodologies.

• Experience leading critical incident responses, conducting postmortems, and performing root-cause analyses.

• Ability to make architectural decisions and effectively communicate technical, operational, and financial trade-offs.

• Expertise in GCP is mandatory.

• Experience with AWS and/or Azure is advantageous.

• Preferred qualifications include: experience across multiple cloud providers; familiarity with multi-cloud or hybrid cloud environments; knowledge in multi-region architectures and Disaster Recovery; experience with AWS EKS, RDS/Aurora, and multi-account configurations; knowledge of Azure AKS and Landing Zones; experience with Service Mesh (Istio, Linkerd, or Anthos Service Mesh); API Gateway and API management; Chaos Engineering; FinOps; and Platform Engineering.

🏝️ Benefits

• Contract (PJ).

• Remote work model.

• Wellhub.

• Life insurance.