8 Site Reliability Engineer jobs in Argentina available for remote work from home. Apply for positions such as Senior Site Reliability Engineer, Site Reliability Engineer / Cloud Security & Posture Management , Site Reliability Engineer ll (DBA) and more! Discover the best work-from-home or hybrid, full- and part-time jobs.
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The Senior Site Reliability Engineer will define and implement service level objectives while improving the reliability, scalability, and observability of critical cloud-based services. They will also lead incident response efforts, conduct root cause analysis, and mentor the SRE team to ensure operational excellence.
You will be responsible for maintaining the health, reliability, and security of multi-cloud infrastructure using enterprise posture management tools. You will also automate the remediation of infrastructure risks and partner with DevOps teams to build resilient, well-governed cloud environments.
The Site Reliability Engineer will maintain and optimize high-availability database systems like Vitess and Cassandra while ensuring service reliability through monitoring and incident response. They will also develop automation tools and collaborate with cross-functional teams to improve operational efficiency and system resilience.
You will manage and optimize infrastructure on Google Cloud Platform while automating provisioning and configuration tasks. Additionally, you will build monitoring systems, participate in on-call rotations, and collaborate with cross-functional teams to embed reliability and security into the development lifecycle.
You will operate and improve the shared telemetry platform, managing metrics, logs, traces, and alerting systems. Additionally, you will participate in incident response, maintain runbooks, and build automation to support mission-critical services.
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Architect and build scalable infrastructure solutions using Kubernetes and AWS while driving the roadmap for reliability and scalability. Lead AI enablement efforts to enhance infrastructure reliability and mentor engineers in operational excellence.
Lead the design and optimization of Kubernetes-based infrastructure and CI/CD systems to ensure production reliability. Build and govern AI tooling infrastructure, including MCP servers and secure access patterns for production systems.
Evaluate and recommend emerging technologies and tools to facilitate business growth and efficiency. Collaborate with project management and solution architects to identify obstacles and develop effective technical solutions.
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