Cloud Engineer III
Indexed description
Job Functions
- 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, CloudFormation)
- 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: Terraform (preferred), CloudFormation
- Configuration Management: Ansible or similar tools
- Systems Administration: Linux and/or Windows server environments
- Troubleshooting: Root cause analysis across compute, storage, networking, and access layers
- Monitoring & Observability: Experience with logging, metrics, and alerting tools
- Networking Fundamentals: DNS, routing, firewalls, and connectivity troubleshooting
- Automation & Scripting: Ability to automate repetitive operational tasks (e.g., Python, Bash, or similar)
- Cloud Security Fundamentals: IAM, access controls, and security best practices
- AI Tool Application: Use of LLMs, copilots, or log analysis platforms to support diagnostics and operational efficiency
- Edge/Hybrid Infrastructure (Preferred): Virtualization, edge compute, and cloud synchronization concepts
- Operational Excellence: Strong sense of ownership, accountability, and urgency in maintaining system stability and performance
- Analytical Thinking: Structured problem-solving with the ability to diagnose and resolve complex issues under pressure
- Automation Mindset: Proactively identifies opportunities to eliminate manual effort and improve efficiency
- Adaptability: Effective in fast-paced, ticket-driven environments with shifting priorities
- Collaboration: Works effectively across infrastructure, engineering, and security teams to drive outcomes
- Communication: Translates technical issues into clear, actionable insights for both technical and non-technical stakeholders
- Continuous Improvement: Actively seeks opportunities to enhance processes, tools, and platform reliability
- Learning Agility: Stays current with evolving cloud technologies, automation practices, and AI capabilities
- Enterprise Mindset & Team Contribution: Proactively supports broader team and enterprise priorities by contributing to initiatives beyond core responsibilities; steps in where needed to drive outcomes and ensure collective success
Love's is an Equal Opportunity Employer. Veterans encouraged to apply.
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