Cloud Reliability Engineer

🕒 March 4

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Infios

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1001 - 5000 employees

We relentlessly make supply chains better. For everyone. No matter your business size. Whatever your goal. No matter the challenge. No matter your starting point. We will meet you where you are to create the future you need.

📋 Description

• Operate, maintain, and improve cloud infrastructure in AWS, Azure, or GCP environments. • Manage and optimize Kubernetes clusters — deployment, scaling, patching, and upgrades. • Ensure system availability, scalability, and performance through proactive monitoring and optimization. • Maintain infrastructure-as-code (IaC) for consistent and repeatable deployments. • Identify opportunities for operational automation to eliminate manual processes (“reduce toil”). • Build and maintain automated pipelines for deployments, configuration, and remediation. • Develop self-healing mechanisms to automatically detect and resolve common service issues. • Participate in continuous improvement initiatives around reliability, performance, and efficiency. • Implement SRE principles: define and track SLIs, SLOs, and error budgets. • Perform incident analysis and postmortems to identify root causes and prevent recurrence. • Design proactive monitoring, alerting, and observability dashboards (Dynatrace, DataDog). • Collaborate with DevOps and development teams to build reliable, observable, and resilient systems. • Manage and optimize CI/CD pipelines to ensure reliable and consistent delivery. • Support deployment strategies (blue/green, canary, rolling) to reduce downtime risk. • Collaborate with Product and DevOps teams on release readiness and rollback automation. • Monitor, troubleshoot, and resolve infrastructure and application issues. • Respond to production incidents and ensure rapid mitigation and resolution. • Troubleshoot complex cloud, container, and networking issues across distributed systems. • Drive a culture of proactive monitoring, data-driven analysis, and preventive action.

🎯 Requirements

• Bachelor’s degree in computer science, Engineering, or related field (or equivalent experience). • 5+ years of experience in experience in Cloud Engineering, DevOps, or Site Reliability roles. • Hands-on experience with cloud platforms (OCI, AWS, Azure, or GCP). • Strong knowledge of Kubernetes deployment, management, and troubleshooting • Solid understanding of observability and monitoring (e.g., Dynatrace, DataDog) and incident management platforms. • Proficiency in scripting and automation (e.g., Python, Bash, Terraform, Ansible). • Strong troubleshooting and analytical skills across infrastructure and applications. • Experience with incident response, RCA, and postmortem processes. • A mindset of continuous improvement, reliability, and self-healing automation. • Understanding of SRE principles, SLAs/SLOs/SLIs, and chaos engineering practices.

🏖️ Benefits

• Health insurance • Flexible work arrangements • Professional development opportunities