Cybersecurity Automation Engineer Jobs: Future-proof Your Career

Table of Contents

1. What is the role of a cybersecurity automation engineer?
2. Why is the job of a cyber security automation engineer important?
3. How to Get Started
4. Frequently Asked Questions
5. Conclusion

Security teams face continuous pressure to respond faster, process more alerts, and keep systems running while attackers continue to evolve. If you want to maintain your employability, you need scalable skills. The role of a cybersecurity automation engineer is a job that combines programming, security, and operations. You write scripts, create procedures, and set up pipelines to take over repetitive tasks. You no longer just look at dashboards; you start building systems that automatically handle heavy workloads.

This article explains the nature of such tasks and why employers hire for these types of roles. Actual procedures and specific tool names and basic data, such as Python, Ansible, Splunk, Cortex XSOAR, and Jenkins, are also anticipated. If you already have cybersecurity experience, transitioning to automation tasks is easy. On the other hand, if you come from a development background, you can become a more valuable specialist by adding a security context. Read on to learn about daily job content, the skill gaps hiring managers care about, and clear action instructions to secure your future career.

What is the role of a cybersecurity automation engineer?

Essentially, the role of a cybersecurity automation engineer focuses on eliminating repetitive tasks in security operations. These individuals design workflows that trigger when a specific alert occurs, collect data from various sources, and perform secure operations such as blocking IP addresses, isolating servers, and creating tickets. The goal is not to replace humans, but to enable analysts to investigate real threats and reduce recovery time.

Typical tasks include writing scripts in Python or PowerShell, creating SOAR playbooks on Cortex XSOAR or Splunk Phantom, integrating APIs of cloud providers, and automating compliance checks using Terraform or Ansible. It also involves integrating with SIEM systems such as Splunk, Elastic Stack, and Microsoft Sentinel, as well as setting up CI/CD pipelines for security tools using Jenkins or GitLab CI. This role sits at the intersection of programming, security operations, and systems engineering.

Daily responsibilities and tools

On a daily basis, tasks such as adjusting detection rules, enhancing alert automation, and creating automated responses for low-risk events can be performed. You can run test case studies or write unit tests for operational plans, and monitor automation metrics such as false alarms or average response times. Tools used include Python for scripting, Git for version control, Docker for creating isolated test environments, and a SOAR platform for orchestration. Onboarding process: Select recurring alerts in the security operations center, create an automated hardening script using WHOIS information and threat intelligence, and link this script to a simple operational plan. Even with just this single change, you can learn adjustment, incident logging, and error management.

Why is the job of a cyber security automation engineer important?

Automation in the field of security is not just a passing trend. A team responding to tens of thousands of alerts every week cannot increase its response capacity simply by hiring more analysts. According to industry research, automation can typically reduce incident response times in standard cases by about 30-50% and significantly ease the workload of analysts. Employers see hiring individuals who can write scripts or create playbooks as a way to double their capabilities. They expect both speed and repeatability, which is something nearly impossible to achieve with manual processes.

Area	Manual Approach	Automated Approach
Alert Triage	The analyst opens all notifications and runs the queries manually.	The SOAR operating manual enhances alerts, classifies their severity, and dispatches tickets
Threat intelligence empowerment	Copy & paste in the vehicle, slow search operations	Automatic API call for VirusTotal, AbuseIPDB, MISP
Containment	Manual changes on the firewall and endpoint	Script, organizational procedures through firewall API, endpoint detection and response (EDR) system
Compliance Checks	Regular manual inspection	Automated scanning and reporting using Terraform and Ansible

If you can convert the manual operating guide into repeatable scenarios and connect it to the SOAR platform, you can turn 10 alerts into a single reliable process. This difference increases the speed of the entire team.

Why do employers pay for this skill?

Recruiters are looking for candidates who can shorten problem resolution times and reduce human error. Candidates who can write Python, set up a continuous integration (CI) pipeline using Jenkins, and create SOAR playbooks on Cortex XSOAR definitely stand out. In the U.S., the estimated annual salary for such positions varies depending on experience and location, but generally falls between $100,000 and $160,000. This salary range reflects demand. Companies are seeking engineers who can automate repetitive tasks, integrate tools like Splunk, Elastic, and Sentinel, and maintain testable playbooks. Concrete steps to achieve this include learning Python, understanding REST APIs, implementing SOAR playbooks, and contributing code to GitHub projects. To showcase this in an interview, create 2-3 playbooks or sets of scripts. This will change the way recruiters see you.

How to Get Started

If you want to apply for the cybersecurity automation engineer position, let's start by creating a solid practical plan. You don't need to get all the certifications on the market. What matters are the skills you can demonstrate on your resume or in an interview. First, learn a scripting language. Python or PowerShell will yield tangible results the fastest. Afterwards, you can add SIEM or SOAR tools. Practical experience is much more important than theory.

The short and realistic roadmap I suggest:

Core skills - Python programming, REST API, JSON, YAML, Git. Extracting alerts from SIEM and creating small-scale automations that execute appropriate responses.
Learn to use tools like Splunk (or Elastic), Microsoft Sentinel, Palo Alto Cortex XSOAR, and Ansible. Try out the playbooks of Splunk SOAR and Cortex XSOAR, and Jenkins pipelines for automated response.
Cloud and containers - Let's learn AWS Security Hub, CloudWatch, Azure Monitor, Docker, Kubernetes, and automate incident response in the cloud.
Lab and project - Use TryHackMe or Hack The Box, local virtual machines. Let's create a GitHub repository containing a guide that automatically converts alerts into preventive actions.
Useful certificates - Microsoft Certificates: Security Operations Analyst, Splunk Certified Consultant, AWS Certified Security Specialist. If you want to learn the context of attack techniques, add OSCP or eJPT.

First week application plan:

Day 1-2: Python installation, Git setup, cloning a simple SOAR program.
Days 3-4: Connect the free cloud account to the trial version of the SIEM system and create a script to collect logs for analysis.
Days 5-7: Simple response automation - you can use a firewall API to block IP addresses or create tickets in Jira from notifications.

Industry demand supports this path. According to the 2023 (ISC)² Cybersecurity Workforce Report, it is estimated that there is a shortage of approximately 3.4 million security professionals worldwide. Teams are turning to automation to overcome the time gap. Recruiters are looking for talent in various positions such as SOAR engineers, security automation engineers, DevSecOps engineers. Build demonstrable projects-even some small projects can provide interview opportunities. Then scale up, integrate CI/CD, and try creating incident response playbooks using Splunk, Cortex XSOAR, Microsoft Sentinel.

Frequently Asked Questions

Below are brief answers to frequently asked questions about the position and application methods. These answers focus on what real employers want and what you can do this week to apply.

What is the role of a cybersecurity automation engineer?

A cybersecurity automation engineer designs and implements workflows that automate the detection, investigation, and response to security incidents. They write scripts in Python or PowerShell, configure SOAR platforms like Splunk SOAR or Cortex XSOAR, and integrate tools such as SIEM systems, firewalls, and ticketing systems. The goal is to reduce manual investigation time, increase consistency, and scale cybersecurity operations. Practical skills and project portfolios are more important than formal qualifications.

Conclusion

Transitioning to a cybersecurity automation engineer is a tangible goal and can be achieved with a focused plan. Learn scripting languages, get hands-on with SIEM and SOAR systems, and share real playbooks and repositories. Proving your skills using platforms like TryHackMe or home-run labs will also be effective. Employers look for abilities to integrate tools, write reliable scripts, and reduce manual tasks. Start with small steps, launch a project, and then expand your area of work. If you can demonstrate concrete automation examples or clear problem-solving examples in an interview, you will definitely stand out.

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