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Senior Network Security Engineer Jobs in Nebraska

Job Title: Principal Cloud Network Engineer Reports to: Sr. Director, Cloud and Engineering ... native security architectures. * Proficient in monitoring, telemetry, logging, performance ...

Cisco Network Engineer (Onsight) This open position when filled will be responsible for mentoring ... Provide technical support at a senior level for Core Network Routing and maintenance. * Provide ...

Cloud Engineer III

Omaha, NE · On-site +1

$113K - $159K/yr

This senior technical role is highly impactful-driving platform engineering maturity, advancing our ... Advance Azure Landing Zone components (governance, identity, network, security) to support ...

This role ensures the security, availability, and compliance of cryptographic infrastructure in ... Submit Firewall request to allow network traffic between HSM and client systems * Manage HSM ...

Senior Software Engineer

Omaha, NE · On-site

$117K - $154K/yr

Partner with Product, Security, DevOps, and business stakeholders to ensure technical decisions ... networking, or infrastructure * Shape the engineering culture by promoting best practices ...

Showing results 41-60

Senior Network Security Engineer information

See Nebraska salary details

$14

$62

$95

How much do senior network security engineer jobs pay per hour?

As of Aug 16, 2026, the average hourly pay for senior network security engineer in Nebraska is $62.74, according to ZipRecruiter salary data. Most workers in this role earn between $53.65 and $70.14 per hour, depending on experience, location, and employer.

How does a senior network security engineer typically collaborate with other IT teams to maintain organizational security?

A Senior Network Security Engineer often works closely with system administrators, application developers, and IT support teams to design, implement, and monitor security protocols. They lead incident response efforts, provide guidance on secure network architecture, and conduct regular vulnerability assessments. Effective communication and collaboration are essential, as these engineers must ensure that security measures align with business objectives and integrate seamlessly with existing IT infrastructure. Cross-functional teamwork is a key aspect of the role, particularly when implementing new technologies or responding to emerging threats.

What is the difference between Senior Network Security Engineer vs Network Security Analyst?

AspectSenior Network Security EngineerNetwork Security Analyst
CertificationsCCNP Security, CISSP, CEHCompTIA Security+, CISSP (preferred)
Work EnvironmentDesigning, implementing, and managing security infrastructureMonitoring, analyzing, and responding to security incidents
ResponsibilitiesDeveloping security protocols, leading security projectsConducting security assessments, analyzing threats
Industry UsageIT, finance, healthcare, large enterprisesIT departments, security firms, corporate environments

While both roles focus on network security, the Senior Network Security Engineer typically leads security infrastructure design and implementation, whereas the Network Security Analyst concentrates on monitoring and analyzing security threats. The senior engineer has more strategic responsibilities, often requiring advanced certifications and experience.

What is a senior network security engineer?

Senior Network Security Engineers are experienced professionals responsible for designing, implementing, and maintaining an organization's network security infrastructure. They protect networks from cyber threats, manage firewalls, monitor network traffic for suspicious activity, and develop security policies. They also lead incident response efforts, mentor junior staff, and ensure compliance with security standards and regulations. Their expertise is crucial in safeguarding sensitive data and maintaining business continuity.

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

To thrive as a Senior Network Security Engineer, you need deep knowledge of network protocols, security architectures, risk assessment, and a bachelor’s degree in computer science or a related field, often complemented by several years of experience. Familiarity with firewalls, intrusion detection/prevention systems (IDS/IPS), SIEM solutions, and certifications like CISSP or CCNP Security is highly valued. Strong analytical thinking, attention to detail, and the ability to communicate complex technical issues clearly are essential soft skills. These competencies help ensure robust network defenses, rapid threat response, and effective collaboration across IT and business teams.

What are popular job titles related to Senior Network Security Engineer jobs in Nebraska?

For Senior Network Security Engineer jobs in Nebraska, the most frequently searched job titles are:

What job categories do people searching Senior Network Security Engineer jobs in Nebraska look for?

The top searched job categories for Senior Network Security Engineer jobs in Nebraska are:

What cities in Nebraska are hiring for Senior Network Security Engineer jobs?

Cities in Nebraska with the most Senior Network Security Engineer job openings:

Infographic showing various Senior Network Security Engineer job openings in Nebraska as of August 2026, with employment types broken down into 83% Full Time, 15% Part Time, and 2% Contract. Highlights an 92% Physical, 3% Hybrid, and 5% Remote job distribution, with an average salary of $130,501 per year, or $62.7 per hour.

Senior AI Engineer with Security Clearance

Caribou Thunder, LLC

Omaha, NE • On-site

$109K - $150K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Posted 10 days ago


Job description

AI / Machine Learning Engineer Mid-Level / Senior Level | $90,000 - $110,000 | Onsite | Top Secret Clearance Required | U.S. Citizenship Required Support the modernization of strategic defense mission systems by developing advanced Artificial Intelligence (AI) and Machine Learning (ML) capabilities for U.S. Strategic Command (USSTRATCOM). Join a multidisciplinary engineering team responsible for designing intelligent software solutions, developing machine learning models, and integrating AI-driven capabilities into mission planning and command and control (C2) systems. Youll also help advance AI adoption across the engineering lifecycle by enabling automation, improving developer productivity, and supporting next-generation software development practices. A Day in the Life - What youll do * Design, develop, and deploy Artificial Intelligence (AI) and Machine Learning (ML) solutions supporting strategic mission planning and command and control (C2) systems. * Develop machine learning models, predictive algorithms, and data analytics solutions that improve mission effectiveness and operational decision-making. * Analyze structured and unstructured data to identify trends, generate insights, and support data-driven engineering decisions. * Develop software applications and automation tools using Python and modern AI/ML frameworks. * Integrate AI and ML capabilities into existing operational mission systems while ensuring performance, security, and reliability requirements are met. * Collaborate closely with systems engineers, software developers, architects, product owners, Scrum Masters, and government stakeholders throughout the software development lifecycle. * Evaluate, test, validate, and optimize AI/ML models to improve model accuracy, scalability, and operational performance. * Support the implementation of MLOps practices for model deployment, versioning, monitoring, and lifecycle management. * Research emerging AI technologies, machine learning techniques, and generative AI capabilities to identify opportunities for mission modernization. * Serve as an AI/ML technical resource by identifying opportunities to automate engineering workflows, software development, testing, and documentation throughout the engineering lifecycle. * Develop technical documentation, model documentation, and engineering artifacts supporting AI/ML implementation and sustainment. * Present AI/ML concepts, technical findings, and implementation strategies to engineering teams, program leadership, and government customers. Required Qualifications * Bachelors degree in Computer Science, Software Engineering, Computer Engineering, Data Science, Artificial Intelligence, or a related STEM (Science, Technology, Engineering, or Mathematics) discipline from an accredited university. * U.S. Citizenship required. * Active DoD Top Secret security clearance or the ability to obtain and maintain a Top Secret clearance with required special access. * Demonstrated experience developing algorithms and solving complex analytical problems using Python. * Experience designing, developing, or integrating Artificial Intelligence and Machine Learning solutions. * Familiarity integrating AI/ML capabilities into operational software or mission systems. * Strong understanding of machine learning concepts, data analytics, and statistical modeling techniques. * Strong analytical, problem-solving, and software development skills. * Ability to collaborate effectively across multidisciplinary engineering teams. * Strong written and verbal communication skills. Preferred Qualifications * Experience supporting U.S. Strategic Command (USSTRATCOM) missions including Intelligence, Mission Planning, or Command & Control (C2). * Experience implementing MLOps pipelines and machine learning lifecycle management. * Experience applying AI and machine learning throughout the software or systems engineering lifecycle. * Experience using Generative AI tools to improve software development, engineering productivity, or code generation. * Experience evaluating, validating, and testing AI/ML models in operational environments. * Experience supporting Air Force Nuclear Weapons Center (AFNWC) systems including: * Strategic Mission Planning and Execution System (SMPES) * Mission Planning and Analysis System (MPAS) * Nuclear Planning and Execution System (NPES) * Experience developing AI-enabled automation for software engineering or DevSecOps workflows. * Experience working with modern AI/ML frameworks such as TensorFlow, PyTorch, Scikit-learn, or similar technologies. * Experience supporting classified Department of Defense software development programs. Who is Caribou Thunder? Caribou Thunder is a HUBZone-certified small business providing advanced technical and engineering services to the U.S. Department of Defense and its mission partners. 35+ states and 20+ countries. Weve delivered trusted solutions for over two decades-strengthening national readiness across missions on land, undersea, in the air, and throughout LEO, MEO, GEO, and deep space. Why Caribou Thunder? TEAM THUNDER - Mission Focused. Delivery Proven. Ready to Serve. * Employee Advocacy * Mission Proven * Global Reach * Skilled Teams * Modern Tools * Empowering Culture Our engineers and innovators ensure capability from sea floor to space frontier-delivering on time, maintaining compliance, and performing with precision in high-consequence environments. We specialize in Artificial Intelligence, Machine Learning, Data Science, Software Development, DevSecOps, Cybersecurity, Digital Engineering, and Modeling & Simulation-disciplines powering the nations most complex technical missions. Employee Advocacy + Benefits Our people are the heart of Caribou Thunder. We invest in their growth, flexibility, and well-being-knowing their success drives ours. Benefits include: * Premium Health, Dental & Vision Insurance * 401(k) with 6% Company Match * Flexible PTO & Work Schedule * Education & Certification Reimbursement * Support for Military Leave * Work-Life Balance & Traditional Family Values Your future, your flexibility, your well-being-we invest in you. Apply and lets connect.