Senior Cybersecurity Engineer Jobs in Colorado
Senior Cybersecurity Engineer jobs in Colorado are concentrated in defense contracting, aerospace, cloud infrastructure, and financial services, with Denver and its northern corridor consistently among the most active cybersecurity hiring markets in the country. Most openings cluster in Denver, Colorado Springs, and the Boulder-to-Fort Collins tech corridor, where employers like Lockheed Martin, Raytheon, and DISH Network maintain deep and ongoing security engineering teams. Threat detection and incident response, cloud security architecture, and zero-trust implementation are the specialties Colorado employers request most consistently. Find a role that fits below and apply directly.
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Showing 5 of 19+ Senior Cybersecurity Engineer jobs
At Moody's, we unite the brightest minds to turn today’s risks into tomorrow’s opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are—with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody’s is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we’re advancing AI to move from insight to action—enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence.
If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity.
- 4+ years of experience in a technical, engineering, architecture, cybersecurity, or related role
- Demonstrated ability to design, secure, or operate cloud-based solutions, including experience with at least one major cloud platform and its configuration-management capabilities
- Working knowledge of artificial intelligence, machine learning concepts, model lifecycles, application programming interfaces, and large language model technologies
- Experience conducting security architecture reviews, threat modelling, technical risk assessments, or security testing
- Ability to translate strategic objectives and technical AI risks into implementable requirements, controls, and practical recommendations for varied stakeholders
- Hands-on capability with relevant scripting, automation, cloud, security, or machine-learning tools, supported by strong analytical, written, verbal, and cross-functional collaboration skills
- Deep expertise in artificial intelligence, with a track record of implementing advanced AI solutions to drive strategic transformation and operational efficiency. Strong experience using AI tools to lead innovation initiatives. Demonstrated leadership in managing AI-related risks, ensuring ethical governance, and fostering a culture of responsible AI adoption across the organization
- Bachelor's degree in computer science, information systems, engineering, or an equivalent technical discipline or combination of education and relevant experience
- Develop and maintain the organization's AI and model security architecture, standards, and technical roadmap
- Identify and implement security controls throughout the artificial intelligence and machine learning lifecycle
- Assess artificial intelligence, machine learning, and large language model solutions for prompt injection, data leakage, model manipulation, adversarial inputs, insecure integrations, and unauthorized access
- Provide hands-on support for security testing, architecture reviews, threat modelling, control implementation, and incident investigation
- Establish secure configuration requirements for cloud-hosted AI services, machine learning platforms, pipelines, application programming interfaces, and containers
- Partner with engineering teams to integrate security controls into development, development security operations, and deployment processes
- Develop monitoring approaches for model behaviour, misuse, data exposure, configuration drift, and emerging threats
- Contribute to AI governance, risk assessments, exception management, incident response, and compliance activities
For US-based roles only: the anticipated hiring base salary range for this position is $116,500.00 - $192,300.00, depending on factors such as experience, education, level, skills, and location. This range is based on a full-time position. In addition to base salary, this role is eligible for incentive compensation. Moody’s also offers a competitive benefits package, including not but limited to medical, dental, vision, parental leave, paid time off, a 401(k) plan with employee and company contribution opportunities, life, disability, and accident insurance, a discounted employee stock purchase plan, and tuition reimbursement.
Moody’s is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, gender, age, religion or creed, national origin, ancestry, citizenship, marital or familial status, sexual orientation, gender identity, gender expression, genetic information, physical or mental disability, military or veteran status, or any other characteristic protected by law. Moody’s also provides reasonable accommodation to qualified individuals with disabilities or based on a sincerely held religious belief in accordance with applicable laws. If you need to inquire about a reasonable accommodation, or need assistance with completing the application process, please email accommodations@moodys.com. This contact information is for accommodation requests only, and cannot be used to inquire about the status of applications
For San Francisco positions, qualified applicants with criminal histories will be considered for employment consistent with the requirements of the San Francisco Fair Chance Ordinance.
This position may be considered a promotional opportunity, pursuant to the Colorado Equal Pay for Equal Work Act.
Click here to view our full EEO policy statement. Click here for more information on your EEO rights under the law. Click here to view our Pay Transparency Nondiscrimination statement.
Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody’s Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.
At Moody's, we unite the brightest minds to turn today’s risks into tomorrow’s opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are—with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody’s is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we’re advancing AI to move from insight to action—enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence.
If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity.
- 4+ years of experience in a technical, engineering, architecture, cybersecurity, or related role
- Demonstrated ability to design, secure, or operate cloud-based solutions, including experience with at least one major cloud platform and its configuration-management capabilities
- Working knowledge of artificial intelligence, machine learning concepts, model lifecycles, application programming interfaces, and large language model technologies
- Experience conducting security architecture reviews, threat modelling, technical risk assessments, or security testing
- Ability to translate strategic objectives and technical AI risks into implementable requirements, controls, and practical recommendations for varied stakeholders
- Hands-on capability with relevant scripting, automation, cloud, security, or machine-learning tools, supported by strong analytical, written, verbal, and cross-functional collaboration skills
- Deep expertise in artificial intelligence, with a track record of implementing advanced AI solutions to drive strategic transformation and operational efficiency. Strong experience using AI tools to lead innovation initiatives. Demonstrated leadership in managing AI-related risks, ensuring ethical governance, and fostering a culture of responsible AI adoption across the organization
- Bachelor's degree in computer science, information systems, engineering, or an equivalent technical discipline or combination of education and relevant experience
- Develop and maintain the organization's AI and model security architecture, standards, and technical roadmap
- Identify and implement security controls throughout the artificial intelligence and machine learning lifecycle
- Assess artificial intelligence, machine learning, and large language model solutions for prompt injection, data leakage, model manipulation, adversarial inputs, insecure integrations, and unauthorized access
- Provide hands-on support for security testing, architecture reviews, threat modelling, control implementation, and incident investigation
- Establish secure configuration requirements for cloud-hosted AI services, machine learning platforms, pipelines, application programming interfaces, and containers
- Partner with engineering teams to integrate security controls into development, development security operations, and deployment processes
- Develop monitoring approaches for model behaviour, misuse, data exposure, configuration drift, and emerging threats
- Contribute to AI governance, risk assessments, exception management, incident response, and compliance activities
For US-based roles only: the anticipated hiring base salary range for this position is $116,500.00 - $192,300.00, depending on factors such as experience, education, level, skills, and location. This range is based on a full-time position. In addition to base salary, this role is eligible for incentive compensation. Moody’s also offers a competitive benefits package, including not but limited to medical, dental, vision, parental leave, paid time off, a 401(k) plan with employee and company contribution opportunities, life, disability, and accident insurance, a discounted employee stock purchase plan, and tuition reimbursement.
Moody’s is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, sex, gender, age, religion or creed, national origin, ancestry, citizenship, marital or familial status, sexual orientation, gender identity, gender expression, genetic information, physical or mental disability, military or veteran status, or any other characteristic protected by law. Moody’s also provides reasonable accommodation to qualified individuals with disabilities or based on a sincerely held religious belief in accordance with applicable laws. If you need to inquire about a reasonable accommodation, or need assistance with completing the application process, please email accommodations@moodys.com. This contact information is for accommodation requests only, and cannot be used to inquire about the status of applications
For San Francisco positions, qualified applicants with criminal histories will be considered for employment consistent with the requirements of the San Francisco Fair Chance Ordinance.
This position may be considered a promotional opportunity, pursuant to the Colorado Equal Pay for Equal Work Act.
Click here to view our full EEO policy statement. Click here for more information on your EEO rights under the law. Click here to view our Pay Transparency Nondiscrimination statement.
Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody’s Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.
See All 19 Senior Cybersecurity Engineer Jobs in Colorado
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Find JobsSenior Cybersecurity Engineer Jobs by City in Colorado
Where Colorado roles are concentrated, by current openings.
Senior Cybersecurity Engineer Job Market in Colorado
A snapshot from current Colorado openings, updated as new roles post.
Who's Hiring
Top Industries Hiring
- Consulting & Professional Services
What Colorado Employers Look For
The qualifications that appear most often in senior cybersecurity engineer jobs across Colorado.
- Active security clearance or eligibility for federal clearance required by many Colorado defense employers
- Seven or more years of hands-on cybersecurity engineering experience in enterprise environments
- Certifications such as CISSP, CISM, or CEH strongly preferred across Colorado listings
- Proficiency in SIEM platforms, endpoint detection tools, and cloud security frameworks
- Experience securing cloud environments on AWS, Azure, or Google Cloud Platform
- Bachelor's degree in computer science, information security, or a related technical field
Senior Cybersecurity Engineer Jobs in Colorado: Frequently Asked Questions
How do you become a senior cybersecurity engineer in Colorado?
Colorado does not require a state-issued license to work as a senior cybersecurity engineer, so the path runs through education, certifications, and clearance eligibility. Most employers in the state expect a bachelor's degree in computer science or information security, followed by progressively senior roles in network defense, incident response, or security architecture. Industry certifications like CISSP or CISM carry significant weight with Colorado's large defense and aerospace employers, and federal clearance eligibility opens the broadest set of opportunities along the Front Range.
How much do senior cybersecurity engineers make in Colorado?
Senior cybersecurity engineers in Colorado earn a median of about $135,220 a year, based on May 2025 Bureau of Labor Statistics wage data, ranging from around $87,560 for the lowest 10% to over $208,650 for the top 10%. Pay rises with experience, specialty, and employer.
Which companies hire senior cybersecurity engineers in Colorado?
Employers hiring senior cybersecurity engineers in Colorado right now include Northrop Grumman, Invictus International Consulting, and KBR, based on current listings on Migrate Mate as of September 2026. Colorado's concentration of defense contractors and federal agency field offices means security clearance holders are especially competitive across these organizations.
Which Colorado cities have the most senior cybersecurity engineer jobs?
Colorado Springs, Golden, and Denver account for the largest share of senior cybersecurity engineer openings in Colorado. Denver's density of financial services firms and cloud-native companies drives the metro's volume, Colorado Springs draws heavily from its concentration of military installations and defense primes like Northrop Grumman and L3Harris, and Boulder attracts security engineering roles tied to its established technology and research sector.
Are there remote senior cybersecurity engineer jobs in Colorado?
Yes, and more than many technical fields, because a significant portion of senior cybersecurity engineering work is analytical, architecture-focused, and tool-driven rather than requiring physical presence. About 50% of senior cybersecurity engineer openings tied to Colorado are remote or hybrid as of September 2026, though roles involving classified systems or government networks almost always require on-site work. Cloud security architecture and threat intelligence positions are the sub-areas most commonly posted as fully remote.
How can I get hired as a senior cybersecurity engineer in Colorado with little or no experience?
The most realistic entry path is through a junior security analyst or IT systems administrator role at one of Colorado's large defense contractors or managed security service providers, then building toward senior-level work through demonstrated specialization. Companies like Lockheed Martin and Raytheon run cleared internship and early-career programs at their Colorado Springs and Denver facilities that can lead directly into engineering tracks. Earning a CompTIA Security+ certification and pursuing federal clearance sponsorship early gives candidates a measurable edge in Colorado's defense-heavy market, where clearance-eligible applicants at any experience level are actively recruited.
Where can I find and apply to senior cybersecurity engineer jobs in Colorado?
You can find and apply to senior cybersecurity engineer jobs in Colorado on Migrate Mate, which lists current openings tied to the state. Search the listings, find roles that match your background and target area, and apply directly to the ones that fit.
See All 19 Senior Cybersecurity Engineer Jobs in Colorado
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