Cloud Engineer III

Benefits

Fuel Your Growth with Love's - company funded tuition assistance program Paid Time Off Flexible Scheduling 401(k) – 100% Match up to 5% Medical/Dental/Vision Insurance after 30 days Competitive Pay Career Development Hiring Immediately

Welcome to Love's:
Our Cloud Platform Operations Engineer is responsible for the day‑to‑day operation, stability, and continuous improvement of a primarily AWS‑based cloud platform, along with a distributed set of edge compute environments. This role operates in a highly dynamic, ticket‑driven environment, ensuring rapid incident resolution, high system reliability, and consistent service delivery. This position goes beyond traditional support by leveraging automation and AI‑enabled tools to enhance troubleshooting, streamline operational workflows, and proactively identify and resolve systemic issues.

The role partners across infrastructure, engineering, and security teams to ensure the platform is scalable, secure, and optimized for performance and cost.

• Operate and support AWS infrastructure, including EC2, S3, IAM, VPC, and associated services in a production environment
• Respond to and resolve Tier II/III incidents impacting cloud and edge systems, ensuring timely restoration of service
• Troubleshoot complex issues across compute, storage, networking, and access layers using logs, metrics, and system data
• Perform root cause analysis and implement corrective actions to prevent recurrence
• Identify recurring operational issues and translate them into scalable solutions through automation or design improvements
• Maintain and enhance monitoring, alerting, and observability practices to improve system reliability
• Design, implement, and maintain Infrastructure-as-Code solutions (e.g., Terraform, Cloud Formation)
• Develop and maintain automation scripts to reduce manual intervention and improve operational efficiency
• Apply an automation‑first mindset to all repeatable operational processes
• Leverage AI tools (e.g., LLMs, copilots, log analysis platforms) to accelerate diagnostics, summarize system behavior, and recommend remediation actions
• Contribute to the development of AI‑enabled operational capabilities, including knowledge retrieval, intelligent runbooks, and workflow automation
• Identify opportunities to integrate AI into operational processes to improve speed, accuracy, and scalability
• Monitor system performance, availability, and cost utilization, proactively addressing anomalies
• Optimize cloud spend by identifying underutilized or misconfigured resources and implementing cost controls
• Support reliability engineering practices to improve uptime and service resilience
• Support edge compute and hypervisor environments, including connectivity, synchronization, and integration with cloud platforms
• Troubleshoot hybrid infrastructure issues spanning on‑premise/edge and cloud environments
• Develop and maintain runbooks, knowledge articles, and standard operating procedures
• Ensure documentation reflects current‑state architecture and operational practices
• Contribute to a culture of operational discipline, knowledge sharing, and continuous improvement

• Bachelor’s degree in Computer Science or a related discipline such as Information Technology, Software Engineering, or Computer engineering is required.
• 4–6+ years of experience supporting cloud or infrastructure environments in a production setting
• Demonstrated experience operating and supporting AWS‑based platforms at scale
• Proven track record of resolving complex, real‑world infrastructure issues end‑to‑end (compute, storage, networking, access)
• Hands‑on experience implementing Infrastructure-as-Code solutions in a production environment (Terraform preferred)
• Experience working in ticket‑driven, operational support environments with defined SLAs and incident management processes
• Exposure to hybrid or distributed environments, including edge compute or virtualization platforms
• Practical experience applying AI tools to infrastructure operations (e.g., log analysis, incident triage, workflow automation)
• Cloud Platforms: AWS (EC2, S3, IAM, VPC, networking fundamentals)
• Infrastructure as Code:
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