Mid/Senior DevOps Engineer – Technology Segment

• Design and evolve infrastructure and platform solutions in cloud and hybrid environments, considering reliability, availability, performance, and scalability
• Develop and maintain standardized CI/CD pipelines, incorporating automation, quality, security, and observability practices
• Implement and evolve GitOps and Infrastructure as Code (IaC) practices, automating environment provisioning, configuration, and management
• Create and maintain templates, accelerators, and reusable components that simplify development and promote delivery standardization
• Define and evolve observability strategies covering metrics, logs, traces, APM, alerts, and dashboards for applications, infrastructure, and data platforms
• Establish and monitor SLIs, SLOs, and Error Budgets, guiding continuous improvement initiatives and balancing innovation with reliability
• Lead the analysis of and response to critical incidents, coordinating mitigation efforts, root cause investigations, and postmortem preparation
• Drive the reliability and observability of data environments, including Databricks, Data Lakes, and data pipelines, identifying opportunities to improve performance, availability, and operational efficiency
• Collaborate with development, infrastructure, and data teams in adopting platform standards, promoting automation, scalability, and reduced operational toil
• Identify opportunities to optimize resource utilization and costs in cloud environments and data platforms, applying FinOps practices

• Strong experience with SRE practices, including reliability, availability, performance, incident management, SLIs, SLOs, and Error Budgets
• Experience with cloud infrastructure (GCP, AWS, or Azure), preferably in hybrid environments
• Experience with CI/CD tools and automating build, test, deployment, and operational processes using solutions such as GitHub Actions and Azure DevOps
• Experience with GitOps and Infrastructure as Code (IaC), particularly Terraform
• Experience with observability, including metrics, logs, traces, and APM, using tools such as OpenTelemetry, Grafana, Prometheus, ELK/Elastic, Datadog, or SigNoz
• Experience with containers and orchestration, including Kubernetes and/or OpenShift
• Knowledge of deployment strategies such as Canary, Blue/Green, and Rolling Deployments
• Knowledge of networking and connectivity in cloud and hybrid environments, including TCP/IP, HTTP, DNS, and troubleshooting
• Strong knowledge of at least one programming or scripting language (Python, Go, Java, Node.js, or Shell Script) for automation and internal tool development
• Knowledge of databases and performance, availability, and capacity concepts
• Knowledge of cloud cost and consumption optimization practices (FinOps)
• Bachelor’s degree in Computer Science, Computer Engineering, Information Technology, or a related field (preferred)
• Cloud or Kubernetes certifications (preferred)
• Experience building and evolving engineering platforms or Internal Developer Platforms (IDPs)
• Experience creating templates, accelerators, reusable components, and self-service mechanisms
• Knowledge of software engineering, including design patterns, best practices, and integration across different technology stacks
• Experience with or familiarity with data environments, including Databricks, Data Lakes, Lakehouses, and data pipelines
• Experience with or familiarity with financial industry compliance standards
• Knowledge of Capacity Planning, Performance Engineering, and continuous operational improvement practices

• Market-competitive compensation
• Meal and food allowance (iFood Card)
• Health and dental insurance
• Home office stipend
• Life insurance
• Flexible working hours
• Dress code: be yourself
• TotalPass: support for your physical and mental well-being
• 100% remote position