ZipRecruiter

Log In

2

Cyber Security Engineer Remote Jobs in Texas (NOW HIRING)

Binary Defense

Cybersecurity Threat Hunter - REMOTE

Houston, TX · On-site +1

$106K - $143K/yr

The work spans researching breaking threat intelligence, hands-on analysis, detection engineering ... Preferred • Bachelor's or master's degree in computer science or Cybersecurity (or 4 or more ...

HiddenLayer

Technical Support Engineer

Austin, TX · Remote

Technical Support Engineer Remote ABOUT THE ROLE: This is a unique opportunity to join HiddenLayer ... Experience with cybersecurity, MLOps, or AI/ML systems * Exposure to GenAI or model security ...

Qcells

SCADA Engineer - Level 2

Houston, TX · Remote

$105K - $125K/yr

Remote SCADA ENGINEER - LEVEL 2 Hanwha Qcells USA Corp (Qcells USA), headquartered in Houston, TX, ... Work with IT networks and cybersecurity principles, ensuring SCADA system security compliance ...

Chevron

Network Engineer - Shipping

Houston, TX · Remote

The role focuses on vessel deployments, network device lifecycle management, remote connectivity ... Additional education or training in network security, industrial networking, OT cybersecurity ...

Chevron

Network Engineer - Shipping

Houston, TX · Remote

The role focuses on vessel deployments, network device lifecycle management, remote connectivity ... Engineering, Telecommunications, Cybersecurity or a related technical field, or equivalent ...

previous page

Showing results 41-60

All JobsCyber Security Engineer JobsCyber Security Engineer Remote JobsCyber Security Engineer Remote Jobs in Texas

Cyber Security Engineer Remote information

See Texas salary details

$37.7K

$114.5K

$167.7K

How much do cyber security engineer remote jobs pay per year?

As of Aug 8, 2026, the average yearly pay for cyber security engineer remote in Texas is $114,491.00, according to ZipRecruiter salary data. Most workers in this role earn between $95,000.00 and $132,300.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the cyber security engineer remote position, and why are they important?

To thrive as a Cyber Security Engineer Remote, you need a solid understanding of information security principles, network defense, and threat analysis, usually backed by a degree in computer science or relevant certifications such as CISSP, CEH, or Security+. Familiarity with security tools like SIEM platforms, firewalls, intrusion detection systems, and scripting languages is highly valued in this field. Strong analytical skills, self-motivation, effective communication, and the ability to collaborate virtually are crucial soft skills for remote success. These competencies ensure you can identify vulnerabilities, implement robust security solutions, and work effectively with distributed teams to protect organizational assets.

What are the typical daily responsibilities of a cyber security engineer remote?

As a remote Cyber Security Engineer, your daily tasks often include monitoring network traffic for potential threats, analyzing security incidents, maintaining and updating security systems, and responding to security alerts. You may also conduct vulnerability assessments, work with various departments to implement best practices, and document findings for compliance or audit purposes. Collaboration with IT, software development, or compliance teams frequently occurs through virtual meetings and secure communication platforms. This role typically requires proactive problem-solving, continuous learning, and the ability to stay up-to-date on the latest cyber threats and security technologies.

What is a cyber security engineer remote?

A Cyber Security Engineer Remote job involves protecting an organization’s digital assets, networks, and systems from cyber threats while working from a remote location. Responsibilities typically include monitoring security infrastructure, identifying vulnerabilities, implementing security measures, and responding to cyber incidents. Remote engineers use various tools and technologies to secure data and ensure compliance with industry standards. Strong communication and problem-solving skills are essential, as collaboration with IT teams and stakeholders often occurs virtually.

What are the most commonly searched types of Cyber Security Engineer jobs in Texas? The most popular types of Cyber Security Engineer jobs in Texas are:
What are popular job titles related to Cyber Security Engineer Remote jobs in Texas? For Cyber Security Engineer Remote jobs in Texas, the most frequently searched job titles are:
What job categories do people searching Cyber Security Engineer Remote jobs in Texas look for? The top searched job categories for Cyber Security Engineer Remote jobs in Texas are:
What cities in Texas are hiring for Cyber Security Engineer Remote jobs? Cities in Texas with the most Cyber Security Engineer Remote job openings:
Cyber Security Engineer Remote jobs near you
Infographic showing various Cyber Security Engineer Remote job openings in Texas as of August 2026, with employment types broken down into 84% Full Time, 3% Part Time, and 13% Contract. Highlights an 100% Remote job distribution, with an average salary of $114,491 per year, or $55 per hour.

Senior AI Application Engineer (Remote Opportunity)

VetsEZ

Dallas, TX • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 16 days ago

Job description

VetsEZ is seeking a Senior AI Application Engineer to design, develop, and implement enterprise Artificial Intelligence (AI) solutions supporting the Department of Veterans Affairs (VA). The initial assignment will support the Joint Longitudinal Viewer (JLV) AI Summarization initiative, delivering a secure, governed AI-assisted search and summarization capability within an approved test environment utilizing Retrieval-Augmented Generation (RAG), Large Language Models (LLMs), and Amazon Bedrock, while supporting clinical evaluation and future production readiness.
Working closely with AI Solution Architects, Product Owners, cybersecurity teams, DevSecOps engineers, and clinical stakeholders, this individual will develop secure, scalable, and maintainable AI-powered applications that integrate seamlessly with existing enterprise healthcare systems while ensuring compliance with Federal security, privacy, and AI governance requirements.
Responsibilities:
  • Design, develop, and implement enterprise AI applications utilizing Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG).
  • Develop AI-assisted search, summarization, and question-answering capabilities using Amazon Bedrock.
  • Build reusable AI services supporting prompt orchestration, document retrieval, and response generation.
  • Implement prompt engineering and source-grounding strategies to improve AI accuracy, consistency, traceability, and clinical relevance, including source links that support human verification.
  • Optimize AI performance while balancing response quality, latency, and operational cost.
  • Design and develop secure, scalable cloud-native applications utilizing modern software engineering practices.
  • Develop RESTful APIs and backend services supporting AI capabilities and enterprise integrations.
  • Implement approved document retrieval, vector search, and semantic search capabilities within the selected patient context and CHSD document set.
  • Develop automated unit, integration, and functional tests and repeatable AI evaluations for groundedness, retrieval quality, and clinical relevance supporting AI-enabled applications.
  • Troubleshoot software defects, optimize application performance, and support activities within the approved test environment and for future production readiness.
  • Integrate AI capabilities into existing enterprise healthcare applications and clinical workflows.
  • Develop secure interfaces utilizing REST APIs and modern integration patterns.
  • Support interoperability utilizing healthcare standards including FHIR, HL7, and CCD.
  • Collaborate with Solution Architects and engineering teams to implement scalable and maintainable application designs.
  • Participate in code reviews and promote software engineering best practices across the development team.
  • Develop secure software in accordance with Federal cybersecurity and privacy requirements, including approved data-retention and purge controls.
  • Support CI/CD pipelines, automated deployments, and cloud-native operational practices.
  • Implement logging, monitoring, audit capabilities, and operational telemetry, including model and prompt version tracking, usage and cost monitoring, and controls to detect model, prompt, retrieval, and data drift.
  • Support application security scanning, vulnerability remediation, and activities within the approved test environment and for future production readiness.
  • Incorporate Responsible AI, Human-in-the-Loop (HITL), and AI governance principles into application development.
  • Collaborate with architects, product owners, clinicians, cybersecurity teams, and Government stakeholders throughout the software development lifecycle.
  • Participate in Agile ceremonies including Sprint Planning, backlog refinement, Sprint Reviews, and Retrospectives.
  • Contribute to technical documentation, implementation guides, and software design artifacts.
  • Present technical solutions and implementation approaches to project leadership and stakeholders.

Requirements:
  • Bachelor's degree in Computer Science, Software Engineering, Information Systems, Artificial Intelligence, Data Science, or a related technical field, or equivalent experience.
  • 8+ years developing enterprise software applications.
  • 5+ years developing cloud-native applications utilizing AWS or comparable cloud platforms.
  • Demonstrated experience developing Artificial Intelligence, Machine Learning, or Generative AI solutions.
  • Experience implementing applications utilizing Amazon Bedrock or similar enterprise AI platforms.
  • Experience developing enterprise REST APIs and cloud-native application services.
  • Amazon Bedrock and AWS cloud services
  • Large Language Models (LLMs)
  • Retrieval-Augmented Generation (RAG)
  • Prompt engineering and AI evaluation
  • Python, Java, or C#
  • REST APIs and JSON
  • Vector databases, embeddings, and semantic search
  • Git, CI/CD, and DevSecOps
  • Healthcare interoperability (FHIR, HL7, CCD)

Additional Qualifications:
  • Strong understanding of modern software engineering principles and cloud-native application development.
  • Experience developing scalable, secure, and maintainable enterprise applications.
  • Excellent analytical, troubleshooting, and problem-solving skills.
  • Strong written and verbal communication skills with the ability to collaborate across multidisciplinary engineering teams.
  • Ability to obtain and maintain a Government Public Trust clearance.
  • Experience supporting the Department of Veterans Affairs (VA), Department of Defense (DoD), or other Federal healthcare organizations.
  • Experience developing AI-enabled clinical workflow, information-retrieval, or clinician-support applications requiring human validation.
  • Experience implementing vector search, embeddings, semantic search, and prompt orchestration.
  • Knowledge of Responsible AI, NIST AI Risk Management Framework (AI RMF), NIST SP 800-53, FISMA, and FedRAMP.
  • Familiarity with clinical terminology standards including SNOMED CT, ICD-10, RxNorm, and LOINC.
  • AWS Developer, AWS AI, Machine Learning, or other AWS cloud certifications are highly desirable.

Benefits:
  • Medical, Dental, and Vision Insurance
  • 401(k) with Employer Match
  • Paid Time Off plus Federal Holidays
  • Corporate Laptop
  • Professional Development and Training Opportunities
  • Remote Opportunity

Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, or protected veteran status.
Sorry, we are unable to offer sponsorship at this time.

Apply