Systems Engineer

• Deploy, configure, and validate edge computing systems across lab, field, and production environments.
• Integrate and optimize system components spanning embedded hardware, networking, containerization, and cloud APIs.
• Collaborate with software, infrastructure, and field teams to identify and resolve integration and runtime issues.
• Ensure reliable device-to-cloud communication for telemetry, control, and analytics workloads.
• Perform end-to-end triage across hardware, network, and application layers.
• Use Linux CLI tools, container inspection, and telemetry analysis to isolate and correct complex system failures.
• Reproduce field issues in controlled environments and contribute findings back into engineering processes.
• Develop reusable diagnostic tools and test harnesses to validate system resilience.
• Build and maintain monitoring, and recovery automation (e.g., Bash, Python, Go).
• Contribute to orchestration frameworks such as Docker, K3s, or Kubernetes for edge deployments.
• Enhance observability through metrics, dashboards, and alerting (Datadog, Grafana, Prometheus, etc.).
• Identify opportunities for self-healing and reliability automation.
• Author and maintain runbooks, standard operating procedures, and knowledge base articles.
• Document troubleshooting procedures and design patterns to enable Tier 1 and Tier 2 support efficiency.
• Participate in post-incident reviews and translate lessons learned into durable operational improvements.
• Partner with software engineers, DevOps, and operations teams to drive incident resolution.
• Act as a 24x7 escalation SME for complex edge or connectivity issues.
• Leverage escalation learnings to define and drive system reliability and lifecycle management initiatives.

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