From Server Restart to High‑Pay Ops Engineer: Career Path & Skills Guide

Stage 1 (3K‑5K)

Entry‑level operations focus on hardware maintenance (PC/ server component replacement), basic desktop support, and elementary network tasks such as configuring switches, firewalls and routers. The primary technical requirement is familiarity with Linux command‑line basics and common office software.

Stage 2 (6K‑15K)

Responsibilities expand to server provisioning, monitoring, performance tuning and fault handling. Required knowledge includes:

Operating systems: advanced Linux administration

Databases & caches: MySQL, MongoDB, Redis

Message queues and logging: RabbitMQ/Kafka, ELK stack

Web services: Nginx, Tomcat

Scripting/automation: Bash, Python (script development, cron jobs)

Backup strategies: rsync, crontab, LVM snapshots, mysqldump (incremental and offline backups)

Stage 3 (20K‑45K)

Ops engineers become “full‑stack” specialists handling high‑availability clusters and large‑scale automation. Core competencies:

Containerisation: Docker, Kubernetes

Configuration management: Ansible, SaltStack, Puppet

Monitoring & alerting: Zabbix, Prometheus, Nagios, system metrics ( top, vmstat, iostat, iftop, strace, sar)

Performance analysis: systemtap, perf High‑availability solutions: F5, Nginx, LVS, HA‑Proxy, MHA, Zookeeper

Security hardening: iptables, firewalld, WAF, auditd, TLS, least‑privilege SSH

DevOps culture: CI/CD pipelines, automated incident reporting

Stage 4 (50K‑?)

Senior roles focus on Site Reliability Engineering (SRE) and cloud‑native architecture design. Expected expertise includes:

Deep understanding of distributed systems, caching (Redis, Memcached) and messaging (Kafka, RabbitMQ)

Proficiency in at least one programming language (Java, Python, Go, C/C++) for tooling and automation

Large‑scale data processing and Service‑Oriented Architecture (SOA)

Design and operation of cloud services on platforms such as Alibaba Cloud and Tencent Cloud

Advanced disaster‑recovery, capacity planning and performance optimisation

Core Technical Topics

Troubleshooting & optimisation : log analysis, system metrics ( top, vmstat, iostat, iftop, sar), incident reporting, root‑cause analysis.

Backup & recovery : rsync, crontab, LVM snapshots, mysqldump, incremental, differential and offline backups.

High‑availability & clustering : load balancers (F5, Nginx, LVS, HA‑Proxy), database HA (MHA), coordination services (Zookeeper), active‑active/active‑passive designs.

Monitoring & alerting : Zabbix, Nagios, Cacti, Prometheus, open‑falcon, Ganglia; alert channels (email, SMS, webhook).

Security & auditing : firewall rules (iptables, firewalld), WAF, auditd, TLS configuration, principle of least privilege.

DevOps & automation : Shell, Python, Go scripts; configuration management (Ansible, SaltStack, Puppet, Chef); orchestration tools (Rundeck); CI/CD pipelines.

Virtualisation & cloud computing : Docker, Kubernetes, Xen, KVM, OpenStack, cloud‑provider APIs for provisioning and scaling.