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Remote Product Security Engineer Jobs in Nevada (NOW HIRING)

Workiva

$40/hr

This internship is primarily a remote opportunity. However, if you are located near one of our ... September 27, 2026 Engineering postings close: October 2, 2026 Interviews: Early to mid October ...

Workiva

$40/hr

This internship is primarily a remote opportunity. However, if you are located near one of our ... September 27, 2026 Engineering postings close: October 2, 2026 Interviews: Early to mid October ...

Workiva

$40/hr

This internship is primarily a remote opportunity. However, if you are located near one of our ... September 27, 2026 Engineering postings close: October 2, 2026 Interviews: Early to mid October ...

Workiva

$40/hr

This internship is primarily a remote opportunity. However, if you are located near one of our ... September 27, 2026 Engineering postings close: October 2, 2026 Interviews: Early to mid October ...

Ocean Spray

Environmental Engineer

Henderson, NV · On-site +1

We are open to remote candidates. In this role, the Environmental Engineer is responsible for ... Provide technical guidance for new product launches, process changes, and capital projects What We ...

Ocean Spray

Environmental Engineer

Las Vegas, NV · On-site +1

We are open to remote candidates. In this role, the Environmental Engineer is responsible for ... Provide technical guidance for new product launches, process changes, and capital projects What We ...

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All JobsProduct Security Engineer JobsRemote Product Security Engineer JobsRemote Product Security Engineer Jobs in Nevada

Remote Product Security Engineer information

What is a remote product security engineer?

Remote Product Security Engineers are professionals responsible for ensuring the security of a company's software products while working from a remote location. They identify and mitigate security risks, conduct vulnerability assessments, and collaborate with development teams to implement security best practices throughout the product lifecycle. Their goal is to protect applications and user data from potential threats, often using a combination of automated tools and manual analysis. Working remotely, they utilize communication and collaboration tools to stay connected with team members and stakeholders.

How does a remote product security engineer typically collaborate with development teams to ensure secure software delivery?

As a Remote Product Security Engineer, you'll frequently work alongside development teams through virtual meetings, code reviews, and secure design consultations. Your role involves proactively identifying security risks, advising on best practices, and helping to integrate security tools into the CI/CD pipeline. Effective communication and documentation skills are essential, as you'll often translate technical security requirements into actionable steps for developers. While remote, you'll leverage collaboration platforms and asynchronous communication to stay closely aligned with cross-functional teams and ensure security is embedded throughout the product lifecycle.

What are the key skills and qualifications needed to thrive as a remote product security engineer, and why are they important?

To thrive as a Remote Product Security Engineer, you need a strong background in cybersecurity, software development, and risk assessment, usually supported by a relevant degree or equivalent experience. Familiarity with security tools such as static and dynamic analysis scanners, vulnerability management systems, and certifications like CISSP or OSCP is often required. Excellent problem-solving, communication, and collaboration skills set top candidates apart, especially in remote and cross-functional team environments. These skills and qualities are crucial to proactively identify, address, and communicate security risks, ensuring that products remain secure throughout their lifecycle.

What are popular job titles related to Remote Product Security Engineer jobs in Nevada?

For Remote Product Security Engineer jobs in Nevada, the most frequently searched job titles are:

What job categories do people searching Remote Product Security Engineer jobs in Nevada look for?

The top searched job categories for Remote Product Security Engineer jobs in Nevada are:

What cities in Nevada are hiring for Remote Product Security Engineer jobs?

Cities in Nevada with the most Remote Product Security Engineer job openings:

Remote Product Security Engineer jobs near you
Infographic showing various Remote Product Security Engineer job openings in Nevada as of August 2026, with employment types broken down into 78% Full Time, 18% Part Time, 3% Contract, and 1% Nights. Highlights an 89% Physical, 3% Hybrid, and 8% Remote job distribution.

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Las Vegas, NV • Remote

Full-time

Re-posted 18 days ago

Job description

About Us

Our mission is to bring people together and connect them into a community to nurture each other. We aim to share a conducive environment, a joyous space to grow and excel; a world brimming with selfless love and enough kindness. We strive to enrich each of our lives with kaleidoscopic memories we make here - vibrant, lively, of all hues and colors.

Job Description

​

This is a remote position.

We are seeking a highly skilled and innovative Generative AI Automation Engineer to join our team. The ideal candidate will be responsible for designing, developing, and implementing automation solutions powered by Generative AI models. This role requires a combination of expertise in machine learning, natural language processing, software engineering, and automation frameworks to drive efficiency and innovation in business processes.

Key Responsibilities:

Generative AI Model Implementation:

  • Develop, fine-tune, and deploy Generative AI models (e.g., GPT, Stable Diffusion, DALL-E, etc.) for automation tasks.

  • Integrate pre-trained models or build custom models for specific use cases.

Automation Design and Development:

  • Design and implement AI-driven workflows and solutions to automate repetitive tasks and improve process efficiency.

  • Develop APIs, scripts, and tools for seamless integration of AI models into existing systems.

Data Management:

  • Collect, preprocess, and analyze large datasets for training and validating AI models.

  • Ensure data privacy and compliance with regulatory requirements during data handling.

System Integration:

  • Collaborate with software development and IT teams to integrate Generative AI solutions with enterprise systems.

  • Build and maintain pipelines for real-time AI inference and automation.

Monitoring and Optimization:

  • Continuously monitor AI automation solutions to ensure accuracy, efficiency, and reliability.

  • Optimize models and processes based on performance metrics and user feedback.

Research and Innovation:

  • Stay updated with the latest advancements in Generative AI and automation technologies.

  • Identify opportunities for implementing cutting-edge AI solutions to address business challenges.

Documentation and Collaboration:

  • Document technical designs, workflows, and implementation strategies.

  • Collaborate with cross-functional teams, including product managers, data scientists, and software engineers.

Requirements

Required Qualifications:

  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

  • Strong programming skills in Python, with experience in frameworks like TensorFlow, PyTorch, or Hugging Face.

  • Proficiency in designing and deploying machine learning models, particularly in Generative AI.

  • Experience with automation tools (e.g., RPA, workflow orchestration tools).

  • Familiarity with cloud platforms (AWS, Azure, or Google Cloud) and containerization technologies (Docker, Kubernetes).

  • Solid understanding of data structures, algorithms, and software design principles.

  • Strong analytical and problem-solving skills.

  • Excellent communication and teamwork abilities.

Preferred Qualifications:

  • Experience with NLP, image generation, or multimodal AI models.

  • Hands-on experience with APIs for AI services like OpenAI, Cohere, or Google AI.

  • Familiarity with prompt engineering and fine-tuning Generative AI models.

  • Knowledge of MLOps practices for deploying and maintaining AI solutions.

  • Previous experience in automation or workflow optimization projects.

Benefits

Why Join Us?

  • Work with cutting-edge Generative AI technologies.

  • Collaborate with a team of forward-thinking innovators.

  • Make a tangible impact on the future of automation and AI-driven processes.

If you are passionate about leveraging Generative AI to create innovative automation solutions, we invite you to apply and be a part of our dynamic and growing team.

Apply