Network Systems Developer
Ford Motor Private Limited · Chennai
Collected role description
Role overview
Network Systems Developer at Ford Motor Private Limited
As a Network Monitoring & Observability Engineer, you will be responsible for administering network monitoring platforms, defining monitoring standards, and automating observability solutions.
Responsibilities
- You will support both current and future monitoring technologies while ensuring operational reliability and meaningful visibility into network performance, availability, and health.
- Manage platform installations, upgrades, patching, maintenance, and lifecycle activities.
- Monitor system health, capacity, and platform performance.
- Implement baselining and anomaly detection strategies.
- Maintain operating systems, file systems, databases, security configurations, and scheduled jobs.
- Maintain documentation and change history for production configurations.
Required qualifications
- Network Monitoring & Observability Strong understanding of network monitoring principles including polling intervals, retention policies, baselining, and anomaly detection.
- Hands-on experience with enterprise monitoring platforms.
- Strong knowledge of SNMP, including MIBs, OIDs, notifications, and security models.
- Experience implementing traffic-flow monitoring using NetFlow, sFlow, or IPFIX.
- Networking Fundamentals CCNA-level understanding of TCP/IP networking concepts.
- Knowledge of latency, packet loss, jitter, routing, and subnetting.
- Understanding of routing protocols and network health indicators, including BGP and OSPF.
- Ability to troubleshoot connectivity issues involving firewalls, ACLs, and routing.
- Linux Administration Experience administering Linux systems such as Red Hat Enterprise Linux, CentOS, or Ubuntu.
- Familiarity with log analysis, system performance troubleshooting, and database fundamentals.
- Automation & Development Proficiency in Python scripting.
- Experience consuming and integrating REST APIs.
- Experience using Git and modern version-control workflows.
Preferred qualifications and skills
- Experience migrating between network monitoring or observability platforms.
- Experience with Prometheus, Grafana, ELK Stack, or similar observability solutions.
- Familiarity with infrastructure automation tools such as Ansible, Puppet, or Chef.
- Experience with time-series databases and telemetry architectures.
- Exposure to cloud-based network monitoring solutions. #LI-MF2
Employment details
- Location: Chennai [India]
Additional role details
- This role requires a strong understanding of network monitoring principles, enterprise networking, Linux administration, and Python-based automation.
- Network Management System Administration Administer enterprise monitoring platforms such as SevOne, Netcool, ThousandEyes, ScienceLogic, Selector.ai, LogicMonitor, and Prometheus.
- Monitoring Strategy & Standards Design and maintain monitoring standards and templates.
- Define key performance indicators and alerting thresholds for routers, switches, firewalls, load balancers, and other network infrastructure.
- Linux Platform Administration Manage Linux servers supporting monitoring platforms.
- Troubleshoot infrastructure issues impacting monitoring services.
- Automation & Integration Develop Python scripts to automate device onboarding, reporting, and platform integrations.
- Integrate monitoring platforms using REST APIs and automation workflows.
- Improve operational efficiency through automation and self-service capabilities.
- Configuration & Version Management Use Git for version control of scripts, configuration files, and automation artifacts.
- Data Collection & Telemetry Configure and optimize Simple Network Management Protocol (SNMP), Syslog, NetFlow, sFlow, IP Flow Information Export (IPFIX), and streaming telemetry.
- Ensure reliable collection, storage, and analysis of monitoring data.
Collected preferred qualification
Experience migrating between network monitoring or observability platforms.; Experience with Prometheus, Grafana, ELK Stack, or similar observability solutions.; Familiarity with infrastructure automation tools such as Ansible, Puppet, or Chef.; Experience with time-series databases and telemetry architectures.; Exposure to cloud-based network monitoring solutions.