We are hiring a Site Reliability Engineer to join the LatAm portion of our globally distributed DPoD SRE team. Our team operates on a 24x5 follow-the-sun model, with the LatAm region covering business hours for the Americas and contributing to weekend and holiday on-call rotations. This role is ideal for an engineer who thrives in production environments, enjoys solving complex reliability challenges on cloud-native infrastructure, and wants to help shape the operational excellence of a platform used by both internal teams and external customers.
Responsibilities
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Operate, monitor and troubleshoot production workloads running on Azure, including AKS clusters, virtual machines, networking and storage components
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Respond to incidents during shift hours and on-call rotations, drive resolution, lead post-incident reviews and implement preventive measures
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Build and maintain CI/CD pipelines in Azure DevOps to support reliable, repeatable deployments
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Design, implement and maintain observability solutions including dashboards, alerts, log pipelines and SLI/SLO metrics that improve service reliability and operational visibility
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Automate repetitive operational tasks ("toil") using scripting languages such as Python and Bash
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Collaborate with engineering, product and support teams across regions to improve system reliability, scalability and performance
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Contribute to runbooks, knowledge base articles and operational documentation
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Participate actively in continuous improvement of the team's processes, tooling and incident management practices
Requirements
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2+ years of experience in DevOps or Site Reliability Engineering
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Hands-on experience operating workloads in Microsoft Azure (compute, networking, identity, storage)
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Practical experience with Azure DevOps for CI/CD pipelines and repository management
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Strong Linux administration and troubleshooting skills in production environments
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Proficiency in at least one scripting language for automation purposes
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Demonstrated experience applying Site Reliability Engineering principles (SLIs/SLOs, error budgets, toil reduction, automation, blameless postmortems)
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Strong systematic troubleshooting skills across application, infrastructure and network layers
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English proficiency at B2 level or higher
Nice to have
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Skills in Bash scripting for systems automation and operational tooling
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Hands-on experience with Azure Kubernetes Service (AKS) in production
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Background in the Elastic Stack (Elasticsearch, Kibana) for logging and observability
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Familiarity with formal Incident Management practices and ITSM frameworks (e.g., ITIL)
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Expertise in configuring and managing NFS or other network-attached storage solutions
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Proficiency in Python development for automation, observability tooling or platform integrations
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Capability to define and manage Service Level Indicators and Service Level Objectives in a customer-facing service
