DevOps Engineer

• Maintain and enhance the GCP environment, including GKE, Compute Engine, Cloud SQL, Storage, VPC, Load Balancers, Pub/Sub, and BigQuery
• Apply SLI, SLO, and Error Budget concepts to ensure high availability and implement autoscaling strategies
• Enhance the monitoring stack with New Relic, OpenTelemetry, Prometheus, Grafana, and Cloud Monitoring
• Create actionable dashboards and alerts
• Build infrastructure as code using Terraform
• Support deployment pipelines with GitHub Actions and ArgoCD
• Develop automations for operational routines using Go, Python, and/or Bash
• Troubleshoot production issues involving Linux, networks, and Kubernetes
• Lead root-cause analyses and blameless postmortems
• Apply governance policies, including IAM/RBAC and Secret Manager
• Implement cloud cost optimization initiatives
• Support the reliability, resilience, and scalability of a critical platform in a strategic project

Cloud Engineer, Site Reliability Engineer – Mid-Level

• Design, develop, and maintain CI/CD pipelines to automate development, testing, and deployment
• Provision, configure, and administer development, staging, and production environments
• Implement and manage AWS cloud infrastructure, focusing on automation, scalability, availability, and security
• Work with Infrastructure as Code (IaC) using Terraform
• Ensure the stability, availability, and efficiency of environments and applications
• Troubleshoot infrastructure, automation, and system integration issues
• Support the evolution of the infrastructure for an AI-powered financial customer service solution via WhatsApp
• Work with various technologies and programming languages, applying logical reasoning and problem-solving skills

Senior DevOps Engineer

• Design, implement, and maintain CI/CD pipelines
• Automate infrastructure and operational processes
• Manage cloud environments, primarily Azure, with occasional use of AWS
• Work with containers and orchestration using Docker and Kubernetes
• Ensure high availability, performance, and security across environments
• Implement and maintain observability and monitoring practices using Datadog
• Ensure compliance with information security requirements and financial market regulations
• Collaborate with development, infrastructure, and security teams
• Support governance and FinOps practices

• Serve as the primary point of contact for the client
• Be responsible for the entire operation, including staffing schedules, personnel, quality, learning curve, and executive KPI reporting
• Coordinate the N1/ERT/SRE support operation
• Work weekly in the Berrini area of São Paulo

Support Coordinator, N1, ERT, SRE

• Support operational analyses and controls through data manipulation and interpretation
• Develop dashboards, reports, and monitoring tools to support decision-making
• Participate in automation initiatives and continuous process improvement
• Support the development of solutions using Microsoft tools and low-code platforms
• Work collaboratively with different areas and teams on daily demands and projects
• Find opportunities for simplification, optimization, and operational efficiency gains

DevOps Developer Intern

• Operate, support, and enhance workloads running on AWS EKS and Kubernetes in production.
• Investigate and resolve incidents involving applications, APIs, databases, and other integrations.
• Maintain, create, and improve Helm Charts used to package and deploy services.
• Support the maintenance and enhancement of CI/CD pipelines for containerized workloads.
• Containerize legacy applications, particularly PHP applications running with PHP-FPM and Apache.
• Support compatibility testing and the migration from Percona MySQL to Amazon Aurora, directing any necessary code or SQL adjustments to the Development team.
• Automate and standardize AWS environments in integration with the Terraform foundation already maintained by the team.
• Improve the dynamic provisioning of stage-based QA environments.
• Collaborate with Development, QA, and Security on release planning, integration validation, and risk mitigation.
• Document architecture, operational procedures, runbooks, changes, and support processes.

Senior DevOps Engineer – AWS, EKS, Kubernetes

• Expand TopMind’s talent pool for future opportunities
• Work in the future on the operation, advancement, and transformation of technology environments
• Contribute to infrastructure, networking, cloud, DevOps, and virtualization initiatives
• Participate in the administration, monitoring, and support of environments
• Contribute to migrations, infrastructure projects, and technological advancement
• Register your profile to be considered for future opportunities at TopMind

Talent Pool – Infrastructure, Cloud, Networks, DevOps

• Define and track SLIs, SLOs, SLAs, MTTR, and MTTD
• Implement observability, monitoring, alerting, and APM
• Monitor latency, traffic, errors, saturation, availability, and performance
• Work on incident prevention, identification, and resolution
• Lead root cause analyses and define actions to prevent recurrence
• Identify risks, bottlenecks, and single points of failure
• Support the design of resilient, scalable, and highly available solutions
• Automate operational activities and reduce manual tasks
• Operate and evolve Kubernetes and Docker environments
• Support capacity planning, business continuity, and disaster recovery strategies
• Participate in deployments and support application stabilization
• Collaborate with teams to improve reliability from the solution design stage
• Create and maintain dashboards, alerts, procedures, and operational documentation
• Promote a culture of reliability, observability, and continuous improvement

SRE Engineer

• Own production infrastructure for AI systems, including clusters, deployment pipelines, and monitoring
• Provision, upgrade, network, and configure production Kubernetes clusters
• Build reproducible infrastructure as code with Terraform or equivalent and detect infrastructure drift
• Build and maintain reliable CI/CD pipelines and standardized container image workflows
• Implement monitoring and alerting, investigate incidents, determine root causes, and make preventive changes
• Provide infrastructure for AI workloads, including inference services and their scaling and cost profiles
• Analyze infrastructure costs and capacity needs, including projected costs at higher traffic levels
• Secure Linux, Kubernetes, containers, and service meshes, including secrets, access, and audit trails
• Develop internal tooling and documentation and support developers and QA during release cycles
• Work within client environments, repositories, cloud accounts, and change processes when required
• Operate within Azumo's SOC 2-certified environment and accommodate engagement requirements such as HIPAA
• Use AI-assisted engineering tools and automated codebase audits to assess security, cost, and architecture findings

Cloud DevOps Engineer

• Administer and evolve mission-critical Kubernetes/OpenShift environments
• Implement and strengthen DevSecOps practices across the platform
• Automate infrastructure and operations processes
• Ensure the availability, performance, and security of environments
• Resolve complex incidents and perform troubleshooting
• Collaborate with multidisciplinary teams to drive continuous platform improvement
• Promote best practices in infrastructure, containers, observability, and security

DevOps Engineer jobs in Brazil

Cloud Engineer, Site Reliability Engineer – Mid-Level

Senior DevOps Engineer

Senior DevOps Engineer

Support Coordinator, N1, ERT, SRE

DevOps Developer Intern

Senior DevOps Engineer – AWS, EKS, Kubernetes

Talent Pool – Infrastructure, Cloud, Networks, DevOps

SRE Engineer

Cloud DevOps Engineer

Integration Architect – DevSecOps, OpenShift, Kubernetes