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Remote Cloud Security Engineer Jobs in Iowa (NOW HIRING)

Workiva, Inc.

Staff Machine Learning Engineer

Ames, IA · On-site +1

Experience with Amazon Web Services (AWS) or other cloud service providers * Ability to prioritize ... Reliable internet access for remote working opportunities How You'll Be Rewarded Salary range in ...

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How much do remote cloud security engineer jobs pay per hour?

As of Aug 5, 2026, the average hourly pay for remote cloud security engineer in Iowa is $59.07, according to ZipRecruiter salary data. Most workers in this role earn between $50.34 and $67.31 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a remote cloud security engineer?

To thrive as a Remote Cloud Security Engineer, you need strong expertise in cloud computing security, network architecture, risk analysis, and hands-on experience with AWS, Azure, or Google Cloud platforms, typically supported by a degree in computer science or a related field. Familiarity with tools like Terraform, security monitoring solutions, and certifications such as AWS Certified Security–Specialty or CISSP is highly valued. Exceptional problem-solving, self-motivation, and clear communication skills are important for remote collaboration and proactive threat management. These abilities ensure robust security postures, efficient incident response, and effective teamwork in distributed environments.

What is a remote cloud security engineer?

A Remote Cloud Security Engineer is responsible for designing, implementing, and maintaining security measures to protect cloud-based systems and data from cyber threats. They work remotely to assess vulnerabilities, enforce security policies, and ensure compliance with industry standards. Their role often involves collaboration with IT teams to develop secure cloud architectures, monitor for security breaches, and respond to incidents. Strong knowledge of cloud platforms like AWS, Azure, or Google Cloud, as well as expertise in encryption, access control, and threat detection, are essential for this role.

What are some typical challenges remote cloud security engineers face, and how can they overcome them?

Remote Cloud Security Engineers often face challenges such as staying up to date with rapidly evolving cloud technologies, addressing complex security threats across multiple environments, and maintaining clear communication within distributed teams. To overcome these, professionals rely on continuous learning, leveraging automation tools, and participating in regular cross-team meetings or security reviews. Setting up robust monitoring and incident response processes also helps manage risks more effectively. Collaboration with colleagues across infrastructure, development, and compliance teams is crucial for maintaining a secure and resilient cloud environment.

What are the most commonly searched types of Cloud Security Engineer jobs in Iowa? The most popular types of Cloud Security Engineer jobs in Iowa are:
What are popular job titles related to Remote Cloud Security Engineer jobs in Iowa? For Remote Cloud Security Engineer jobs in Iowa, the most frequently searched job titles are:
What job categories do people searching Remote Cloud Security Engineer jobs in Iowa look for? The top searched job categories for Remote Cloud Security Engineer jobs in Iowa are:
What cities in Iowa are hiring for Remote Cloud Security Engineer jobs? Cities in Iowa with the most Remote Cloud Security Engineer job openings:
Remote Cloud Security Engineer jobs near you
Infographic showing various Remote Cloud Security Engineer job openings in Iowa as of July 2026, with employment types broken down into 88% Full Time, 7% Part Time, and 5% Contract. Highlights an 79% Physical, 6% Hybrid, and 15% Remote job distribution, with an average salary of $122,858 per year, or $59.1 per hour.

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Iowa City, IA • Remote

Full-time

Re-posted 15 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