20 tasks, each one witnessed by the sources that watched the job — and behind every one, a prompt you can use tonight.
You split time between monitoring and hands-on fixes. Mornings often start with checking SIEM alerts, IDS/IPS logs, and any AWS notifications for unusual activity.
Afternoons go to patch management, reviewing security assessments for compliance, and meetings with IT or development teams to update access controls, encryption, or system designs using tools like Ansible, Bash, or Atlassian JIRA.
Expect to use SIEM, IDS/IPS, firewalls, and encryption tools every day, plus configuration tools like Ansible, Bash, or Chef for repeatable deployments. AWS is common for cloud parts, and Atlassian JIRA/Confluence for tracking work and documenting incidents.
You may write or review C# or C++ code when verifying ICT specifications or advising on secure system architecture, and you’ll keep records for audits.
You can use AI to summarize logs, draft incident reports, or suggest remediation steps, but treat suggestions as a first draft. Always validate AI output against SIEM/IDS data and your own checks before acting.
Never feed sensitive data (credentials, private keys, detailed network maps) into external AI services. Keep AI use documented in Confluence and review it during ICT audits.
BLS reports 435,370 employed in the broader occupation and gives a median pay of $116,580 per year, with the lowest tenth at $55,940 and the top tenth at $188,470. Those are national figures from the Bureau of Labor Statistics.
Pay varies by employer, location, and how much cybersecurity vs. traditional hydropower engineering you do. Use the BLS numbers to set expectations, not guarantees.
Begin with fundamentals: networking, Linux shell (Bash), and basic scripting. Learn configuration tools like Ansible or Chef, and practice setting up firewalls and IDS/IPS in a lab environment (virtual machines or AWS free tier).
Take small projects: set up a SIEM instance, log generators, and practice patch management. Document everything in Confluence-style notes and track tasks in JIRA to show practical experience.
Practical troubleshooting and clear communication. You must translate SIEM/IDS technical findings into concrete actions for IT, operations, and managers, often using JIRA/Confluence to assign work and record decisions.
Hands-on experience configuring Ansible/Chef, managing AWS resources securely, and performing patch cycles separates candidates who can hit the ground running from those who only know theory.