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Security Automation Engineer Jobs in Florida (NOW HIRING)

Iru

Senior Product Security Engineer

Miami, FL · On-site

$109K - $150K/yr

Help define secure AI engineering standards. Security Automation ... Improve automation of security testing throughout CI/CD. * Integrate security tooling into ...

Iru

Senior Product Security Engineer

Miami, FL · On-site

$150 - $200/hr

Help define secure AI engineering standards. Security Automation ... Improve automation of security testing throughout CI/CD. * Integrate security tooling into ...

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All JobsSecurity Automation Engineer JobsSecurity Automation Engineer Jobs in Florida

Security Automation Engineer information

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$27.6K

$80.1K

$121.8K

How much do security automation engineer jobs pay per year?

As of Sep 9, 2026, the average yearly pay for security automation engineer in Florida is $80,055.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,600.00 and $92,300.00 per year, depending on experience, location, and employer.

What is a security automation engineer?

A Security Automation Engineer is a professional who designs, develops, and implements automated solutions to enhance the efficiency and effectiveness of cybersecurity operations. They create scripts, tools, and systems that automate repetitive security tasks such as threat detection, incident response, and vulnerability management. By leveraging automation, they help organizations respond to threats faster and reduce manual effort, minimizing human error. Security Automation Engineers often work closely with security analysts, IT teams, and developers to integrate automation into existing security workflows.

What are the key skills and qualifications needed to thrive as a security automation engineer?

To thrive as a Security Automation Engineer, you need a solid background in cybersecurity principles, scripting/programming (such as Python or PowerShell), and experience with security frameworks, often supported by a relevant degree or certifications like CISSP or CEH. Familiarity with security information and event management (SIEM) systems, automation tools (e.g., Ansible, Terraform), and vulnerability scanning platforms is crucial. Strong problem-solving skills, attention to detail, and clear communication help you develop reliable automation solutions and collaborate with cross-functional teams. These skills and qualities are essential for proactively detecting threats, reducing manual workload, and maintaining robust security postures in dynamic environments.

What types of projects can a security automation engineer expect to work on in a typical week?

As a Security Automation Engineer, you can expect to work on projects such as developing and maintaining automated scripts for security monitoring, integrating security tools into CI/CD pipelines, and creating response playbooks for incident management. You may also collaborate with DevOps and IT teams to ensure security processes are seamless and scalable across the organization. Daily tasks often involve troubleshooting automation workflows, analyzing security alerts, and identifying opportunities to improve detection and response times. This role provides a dynamic environment where you'll continuously learn and adapt to new technologies and threats.

What is the difference between Security Automation Engineer vs Security Analyst?

AspectSecurity Automation EngineerSecurity Analyst
Required CertificationsCompTIA Security+, CISSP, or similarCompTIA Security+, GIAC Security Essentials (GSEC), or similar
Work EnvironmentFocus on developing and implementing security automation tools and scriptsMonitor security alerts, analyze threats, and respond to incidents
Employer & Industry UsageUsed in organizations aiming to automate security processesCommon in security operations centers (SOCs) for threat detection

The Security Automation Engineer primarily develops automated security solutions to improve efficiency, while the Security Analyst monitors and analyzes security events. Both roles require similar certifications but differ in daily tasks and focus areas within cybersecurity teams.

What are popular job titles related to Security Automation Engineer jobs in Florida?

For Security Automation Engineer jobs in Florida, the most frequently searched job titles are:

What job categories do people searching Security Automation Engineer jobs in Florida look for?

The top searched job categories for Security Automation Engineer jobs in Florida are:

What cities in Florida are hiring for Security Automation Engineer jobs?

Cities in Florida with the most Security Automation Engineer job openings:

Security Automation Engineer jobs near you
Infographic showing various Security Automation Engineer job openings in Florida as of September 2026, with employment types broken down into 85% Full Time, 13% Part Time, and 2% Contract. Highlights an 89% Physical, 2% Hybrid, and 9% Remote job distribution, with an average salary of $80,055 per year, or $38.5 per hour.

Manufacturing Engineer - Automation & Digitalization

Gibsonton, FL

Siemens Energy, Inc.
Engine, Turbine, and Power Transmission Equipment Manufacturing • 10K+ employees
Learn more about Siemens Energy, Inc.external

Full-time

Medical, Retirement, PTO

Re-posted 2 days ago

Siemens Energy rating

8.3

Company rating: 8.3 out of 10

Based on 88 frontline employees who took The Breakroom Quiz

121st of 499 rated machine equipment manufacturers

Job description

A Snapshot of Your Day
As a Manufacturing Engineer - Automation & Digitalization at Siemens Energy, you'll support the BVT (Blades & Vanes) Expansion project within the Operations Tampa manufacturing facility. The primary business objective is to leverage advanced automation and artificial intelligence to enhance operational efficiency, increase productivity, and support the growth of the manufacturing capabilities. To achieve these goals, this role will concentrate on three core areas: the development and deployment of AI and machine learning solutions tailored for manufacturing processes, the design and implementation of robust automation workflows, and the management of the underlying data infrastructure required to support these systems. This focus ensures that digitalization efforts are directly applied to tangible operational improvements, from quality control to predictive maintenance. Given the focus on applying advanced technology in an industrial setting, the ideal candidate will possess significant experience in AI/ML engineering combined with a strong understanding of manufacturing environments. Key requirements include advanced proficiency in programming and data management, experience with ML frameworks, and a proven ability to independently manage complex technical projects from conception to integration.
How You'll Make an Impact
  • Design, develop, and deploy machine learning models for manufacturing applications, including predictive maintenance, process optimization, and quality control.
  • Apply computer vision techniques to automate visual inspection tasks and enhance defect detection accuracy on the production line.
  • Train, validate, and optimize AI models using data sourced from manufacturing equipment and operational systems.
  • Research and implement advanced AI/ML methodologies, such as deep learning and generative AI, to address complex manufacturing challenges.
  • Analyze existing manufacturing workflows to identify and prioritize opportunities for digitalization and automation.
  • Develop and implement automation scripts and solutions to streamline repetitive tasks and improve operational throughput.
  • Integrate AI/ML models and digital tools into production systems, MES platforms, and equipment using APIs and other integration technologies.
  • Manage automation project lifecycles from requirements gathering through deployment and post‑implementation support.
  • Build and maintain scalable data pipelines for collecting, cleaning, and processing high‑volume industrial data.
  • Implement MLOps practices to establish CI/CD pipelines for machine learning models, ensuring reliable deployment and monitoring.
  • Ensure data governance, quality, and integrity for all datasets used in AI training and operational analytics.
  • Collaborate with IT and OT teams to manage both cloud and on‑premise infrastructure supporting AI development and deployment.
What You Bring
  • Bachelor's degree or higher in Computer Science, Engineering, Data Science, or a related technical field.
  • 5+ years of professional experience in developing and implementing AI, machine learning, or automation solutions.
  • Demonstrated experience applying AI/ML in an industrial, manufacturing, or operational technology (OT) environment is highly preferred.
  • Proficiency in machine learning, deep learning, computer vision, and familiarity with emerging generative AI approaches.
  • Strong technical capabilities in Python, SQL, automation, software engineering concepts, and integrating applications through APIs.
  • Demonstrated analytical, troubleshooting, and collaborative skills to support complex technical problem‑solving in cross-functional environments.
  • Candidates with more experience can be considered for a higher level or vice versa.
  • Applicants must be legally authorized for employment in the United States without the need for current or future employer-sponsored work authorization. Siemens Energy employees with current visa sponsorship may be eligible for internal transfers.
  • This position will require an export license from the Department of Commerce, Bureau of Industry and Security and/or the Department of State, Directorate of Defense Trade Controls. Issuance of any required license is a prerequisite for this position. The candidate must be able to work with export-controlled technology in accordance with US export control law.
About the Team
Our Gas Services division offers Low-emission power generation through service and decarbonization. Zero or low emission power generation and all gas turbines under one roof, steam turbines and generators. Decarbonization opportunities through service offerings, modernization, and digitalization of the fleet.
Who is Siemens Energy?
At Siemens Energy, we are more than just an energy technology company. With ~100,000 dedicated employees in more than 90 countries, we develop the energy systems of the future, ensuring that the growing energy demand of the global community is met reliably and sustainably. The technologies created in our research departments and factories drive the energy transition and provide the base for one sixth of the world's electricity generation. Our global team is committed to making sustainable, reliable, and affordable energy a reality by pushing the boundaries of what is possible. We uphold a 150-year legacy of innovation that encourages our search for people who will support our focus on decarbonization, new technologies, and energy transformation. Find out how you can make a difference at Siemens Energy: https://www.siemens-energy.com/employeevideo
Rewards
  • Career growth and development opportunities
  • Supportive work culture
  • Company paid Health and wellness benefits
  • Paid Time Off and paid holidays
  • 401K savings plan with company match
  • Family building benefits
  • Parental leave
Jobs & Careers: https://jobs.siemens-energy.com/jobs
Equal Employment Opportunity Statement
Siemens Energy and Siemens Gamesa Renewable Energy is an Equal Opportunity and Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to their race, color, creed, religion, national origin, citizenship status, ancestry, sex, age, physical or mental disability unrelated to ability, marital status, family responsibilities, pregnancy, genetic information, sexual orientation, gender expression, gender identity, transgender, sex stereotyping, order of protection status, protected veteran or military status, or an unfavorable discharge from military service, and other categories protected by federal, state or local law.
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