Cloud Systems Engineer managing cloud infrastructure projects for federal clients. Supporting stability and reliability of cloud - based systems and networks with a focus on innovative solutions.
About the role
- Edge Systems Engineer responsible for edge computing systems reliability and observability. Bridging hardware, software, and networking disciplines to deliver maintainable solutions.
Responsibilities
- 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.
Requirements
- Bachelor’s degree in Computer Engineering, Computer Science, Information Systems, or equivalent work experience
- 3-5 years minimum relevant experience
- Strong proficiency with Linux systems and command-line diagnostics.
- Experience with containerized environments (Docker, K3s, or Kubernetes).
- Understanding of IoT or distributed systems architectures, including secure communication (TLS/mTLS).
- Solid grasp of networking fundamentals: IP, routing, VPNs, DNS, and cellular/LTE connectivity.
- Scripting ability in Bash, Python, or Go for automation and tooling.
- Demonstrated ability to troubleshoot across hardware, network, and software boundaries.
- Excellent written communication skills; comfortable producing procedural documentation.
Benefits
- Adhere to all NOV HSE policies, utilize appropriate PPE, and actively participate in monthly safety meetings.
Job title
Job type
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Not specified
Degree requirement
Tech skills
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