Roles and Responsibilities

• Design, implement, and maintain data monitoring and alerting systems to improve issue detection and response times.
• Ensure data accuracy and reliability through proactive quality checks and anomaly detection mechanisms.
• Analyze, design, and implement system-level solutions to eliminate bottlenecks and enhance performance of edge services.
• Create and maintain documentation for team processes, policies, SLOs, and operational workflows.
• Participate in on-call rotations; troubleshoot and resolve incidents or escalate as needed to maintain service availability.
• Operate and maintain Linux and Kubernetes environments; manage upgrades, deployments, and optimizations.
• Work closely with software, network, and infrastructure teams to deliver high-availability and scalable systems.

Qualifications

• Education: Bachelor’s degree or higher in Computer Science, Information Technology, or a related field.
• Experience: Minimum of 2+ years of related experience (3+ years preferred).
• Technical Expertise:
  • Strong background in Unix/Linux systems — from kernel to shell.
  • Familiarity with system libraries, file systems, and client-server protocols.
  • Ability to read and understand Python scripts used in platform operations.
  • Hands-on experience with networking technologies (TCP/IP, BGP, DNS, etc.) in carrier-grade environments.
  • Practical experience with one or more of the following: OpenStack, Kubernetes, Nginx, ipvs, ELK stack, Hadoop, or similar systems.
• Excellent problem-solving skills, attention to detail, and ability to work effectively in a fast-paced, collaborative environment.

Preferred Skills (Nice to Have)

• Experience with automation and infrastructure-as-code tools (e.g., Ansible, Terraform).
• Knowledge of distributed systems, load balancing, and fault tolerance.
• Familiarity with observability platforms (Prometheus, Grafana, ELK).

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