Systems Engineer

Key Responsibilities Systems Integration & Reliability

• 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, Dev Ops, 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.

• Adhere to all NOV HSE policies, utilize appropriate PPE, and actively participate in monthly safety meetings.

• 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.

• Experience in industrial or edge computing environments (IoT gateways, embedded Linux, or ruggedized hardware).
• Familiarity with Git Ops workflows, CI/CD pipelines, or infrastructure-as-code tools.
• Exposure to observability platforms such as Datadog, Grafana, or Prometheus.
• Background in site reliability, Dev Ops, or systems integration roles supporting production systems.

• Moves fluidly between hardware, software, and networking domains.
• Believes operational excellence and reliability are core features of a product.
• Automates repetitive work and documents what cannot be automated.
• Brings composure, curiosity, and methodical problem-solving to complex technical challenges.

Edge computing is rapidly redefining how distributed systems are deployed and managed.

The Edge Systems Engineer ensures those systems are reliable, observable, and maintainable — providing the connective tissue between development, infrastructure, and real-world operations.