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Offensive Security Engineer Remote Jobs in Orem, UT

Senior Machine Learning Engineer

Lehi, UT · On-site +1

$144K - $233K/yr

Flexible and transparent culture with remote and hybrid work options, generous vacation time, and ... financial security. Wellness initiatives promoting physical and mental well-being, access to an ...

... security solutions to deliver AI-driven, actionable intelligence that makes sites smarter, safer ... You will collaborate with other teams, partners, and customers to deliver high-quality remote ...

Your system's data integrity and useability, as well as data security all have a reputation of ... What To Know Work environment Remote team members must have a private and quiet area for working ...

Your system's data integrity and useability, as well as data security all have a reputation of ... What To Know Work environment Remote team members must have a private and quiet area for working ...

AWS Environment Engineering & Operations * Build and manage AWS environments using IaC * Maintain ... Security & Compliance * Enforce AWS security best practices * Align with cybersecurity policies

AWS Environment Engineering & Operations * Build and manage AWS environments using IaC * Maintain ... Security & Compliance * Enforce AWS security best practices * Align with cybersecurity policies

Regression Tester

Orem, UT · On-site +1

$110K - $130K/yr

You will collaborate closely with developers and QA engineers to maintain platform stability ... Ensure testing aligns with compliance and security standards for client and candidate data.

Showing results 21-40

Offensive Security Engineer Remote information

See Orem, UT salary details

$53.5K

$132.8K

$178.7K

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

As of Sep 8, 2026, the average yearly pay for offensive security engineer remote in Orem, UT is $132,816.00, according to ZipRecruiter salary data. Most workers in this role earn between $124,300.00 and $137,800.00 per year, depending on experience, location, and employer.

What does an offensive security engineer do?

An Offensive Security Engineer is responsible for proactively identifying and mitigating security vulnerabilities in an organization’s systems, networks, and applications. Working remotely, they perform penetration testing, vulnerability assessments, and simulated cyberattacks to discover weaknesses before malicious actors can exploit them. They also provide detailed reports and recommendations to help organizations improve their overall security posture. Remote Offensive Security Engineers use a variety of tools and collaborate with other security professionals to ensure effective communication and secure operations across distributed environments.

What are the key skills and qualifications needed to thrive as an offensive security engineer?

To thrive as an Offensive Security Engineer (Remote), you need strong expertise in penetration testing, vulnerability assessment, and cybersecurity principles, often supported by a degree in computer science or a related field. Familiarity with tools like Metasploit, Burp Suite, and Kali Linux, as well as certifications such as OSCP or CEH, is typically required. Attention to detail, problem-solving skills, and effective written communication are critical soft skills for success in this role. These abilities are essential for identifying vulnerabilities, reporting findings clearly, and helping organizations strengthen their security posture against evolving threats.

What are some common challenges faced by remote offensive security engineers, and how can they be addressed?

Remote Offensive Security Engineers often face challenges such as coordinating effectively with geographically dispersed teams, maintaining secure access to sensitive systems, and staying updated on rapidly evolving threat landscapes. Overcoming these hurdles typically involves strong communication skills, leveraging secure collaboration tools, and establishing regular check-ins with colleagues. Additionally, continuous learning through online resources and industry forums is vital to remain effective and proactive in identifying and addressing security vulnerabilities.

What is the difference between Offensive Security Engineer Remote vs Penetration Tester?

AspectOffensive Security Engineer RemotePenetration Tester
CertificationsOSCP, OSWE, CEHOSCP, CEH, GPEN
Work EnvironmentRemote, collaborative security teamsOften client-site or remote assessments
Industry UsageSecurity teams, cybersecurity firmsConsulting firms, security assessments
Search & Comparison IntentUnderstanding roles, skills, and remote opportunitiesJob scope, certifications, and remote work options

Offensive Security Engineer Remote and Penetration Tester roles share overlapping skills and certifications like OSCP and CEH. However, Offensive Security Engineers typically work within security teams on ongoing security infrastructure, often remotely, focusing on offensive security strategies. Penetration Testers usually perform specific security assessments, sometimes on-site, and may have a broader consulting focus. Both roles are vital in cybersecurity but differ in scope and work environment.

What are the most commonly searched types of Offensive Security Engineer jobs in Orem, UT?

The most popular types of Offensive Security Engineer jobs in Orem, UT are:

What are popular job titles related to Offensive Security Engineer Remote jobs in Orem, UT?

For Offensive Security Engineer Remote jobs in Orem, UT, the most frequently searched job titles are:

What job categories do people searching Offensive Security Engineer Remote jobs in Orem, UT look for?

The top searched job categories for Offensive Security Engineer Remote jobs in Orem, UT are:

Senior Machine Learning Engineer

Entrata

Lehi, UT • On-site, Remote

$144K - $233K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 21 days ago


Entrata rating

7.9

Company rating: 7.9 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

130th of 247 rated software companies


Job description

Since 2003, Entrata has evolved from a visionary, student-led startup into a global leader in AI-driven property management technology. Today, we power the industry's most essential operating system, serving owners and residents worldwide through a comprehensive suite of intelligent leasing, payment, and communication tools powered by cutting-edge AI. With a proven track record of sustained growth and a global team of more than 2,200 employees, we offer the rare combination of established stability and high-velocity innovation. Recognized by the Silicon Slopes Hall of Fame and the Utah Business Fast 50, Entrata fosters a culture of radical transparency and entrepreneurial energy. At Entrata, we create an environment where different perspectives are valued and respected. Those perspectives challenge assumptions, strengthen our decisions, and raise the bar as we reshape the global living experience through AI-powered solutions.

We are seeking a Senior Machine Learning Engineer to help build and scale Entrata's applied AI capabilities. This role will focus on adapting and fine-tuning foundation models for property management use cases, building reliable model training and evaluation pipelines, and deploying AI systems into production.

Responsibilities
  • Fine-tune and adapt large language models for Entrata-specific use cases using supervised fine-tuning and other post-training techniques.
  • Build scalable data preparation, curation, filtering, and synthetic data pipelines to support model training and evaluation.
  • Develop agentic AI systems that can reason across multi-step workflows, use tools, retrieve context, and operate reliably in production.
  • Build evaluation frameworks and benchmarks to measure model quality, safety, reliability, and task performance.
  • Optimize model inference, serving, and deployment for performance, cost, and scalability.
  • Partner with engineering, product, and data teams to integrate AI capabilities into Entrata products and workflows.
  • Help establish best practices for model experimentation, fine-tuning, evaluation, and deployment.
Minimum Qualifications
  • 5+ years of software engineering or machine learning engineering experience.
  • Hands-on experience fine-tuning, adapting, or deploying large language models.
  • Strong proficiency with Python and PyTorch or similar deep learning frameworks.
  • Experience building ML data pipelines, training workflows, and evaluation systems.
  • Experience deploying machine learning models into production environments.
  • Familiarity with modern LLM tooling, model serving, and inference frameworks.
  • Strong understanding of machine learning fundamentals and model performance tradeoffs.
Preferred Qualifications
  • Experience with supervised fine-tuning, preference optimization, or related post-training techniques.
  • Experience building agentic systems, tool-using models, or retrieval-based AI applications.
  • Experience with distributed training or GPU-based model workloads.
  • Familiarity with frameworks such as vLLM, DeepSpeed, FSDP, or similar technologies.
  • Experience working with enterprise or domain-specific AI applications.
  • Bachelor's or advanced degree in Computer Science, Machine Learning, Engineering, or a related field, or equivalent practical experience.
$144,000 - $233,100 a year
This band covers the full salary range for the role. Your offer within this range will depend on factors like experience, skills, and internal equity.
 
Level - P4
Benefits:
Flexible and transparent culture with remote and hybrid work options, generous vacation time, and frequent company recharge days for work-life balance.

Comprehensive medical, dental, and vision coverage, including fertility benefits, available for eligible employees and their families.

HSA/FSA options and employer-paid disability benefits provided for eligible employees.

Access to 401(k) or similar retirement plans with employer matching for eligible employees, ensuring long-term financial security.

Wellness initiatives promoting physical and mental well-being, access to an onsite gym at HQ, gym memberships, mental health resources, wellness challenges, and employee assistance programs.

Entrata Cares programs offers opportunities for volunteerism, charity events, and giving back to our community.

Exclusive Previ cell phone plan and discounts on services or local business partnerships for additional employee benefits.

Bi-annual swag drops for employees

Currently, Entrata hires in Arizona, Idaho, Utah, Wyoming, Texas, North Carolina, Florida, Georgia, South Carolina, Ohio, Pennsylvania, and Illinois for Exempt roles and Arizona, Idaho, Utah, Wyoming, Texas, North Carolina, and Florida for Non-Exempt roles. 

Entrata is dedicated to creating a workplace where a diverse and inclusive team thrives in an environment free from discrimination. We provide equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, protected veteran status, or any other applicable characteristics protected by law.

It's a great place to work! Will you join us?

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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