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Remote Platform Engineer Jobs in Iowa (NOW HIRING)

Corteva

Sr Principal Software Architect

Johnston, IA · Remote

... Platform using Databricks as the foundational technology. Remote - candidate can be considered ... Identify friction points experienced by data engineers, data scientists, and analysts, and ...

DataAnnotation

UI Engineer - AI Trainer

Nevada, IA · On-site +1

$60/hr

We are looking for proficient programmers to help advance AI development. As a member of ... through our platform.BenefitsFully remote: work from anywhere in the US, Canada, UK, Ireland ...

Fundraise Up

Sr. AI Engineer

Estherville, IA · Remote

$107.10K - $141.20K/yr

Location: US Remote (EST, CST) * Reports to: Director, Business Operations (Finance) About ... Our platform is trusted by many of the world's leading nonprofits, including UNICEF, the Alzheimer ...

Pella Corporation

Associate Data Engineer

Urbandale, IA · On-site +1

$108.40K - $130.10K/yr

Associate Data Engineer Urbandale, IA or Remote The Associate Data Engineer supporting Digital ... Collaborate with platform, integration, and vendor teams to onboard new data sources and evolve ...

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Remote Platform Engineer information

What are the key skills and qualifications needed to thrive as a Remote Platform Engineer, and why are they important?

To thrive as a Remote Platform Engineer, you need strong expertise in software development, cloud infrastructure, automation, and a relevant degree or equivalent experience. Familiarity with tools such as AWS, Docker, Kubernetes, CI/CD pipelines, and infrastructure-as-code platforms like Terraform is typically required. Excellent problem-solving, self-motivation, and collaboration skills set standout candidates apart, especially in distributed teams. These skills ensure the reliability, scalability, and efficiency of platforms while enabling smooth teamwork in a remote work environment.

How does a Remote Platform Engineer typically collaborate with cross-functional teams?

As a Remote Platform Engineer, you’ll frequently work with developers, DevOps, security, and product teams to ensure the platform’s stability, scalability, and security. Collaboration is often managed through daily stand-ups, code reviews, and project management tools like Jira or Trello. Clear communication and documentation are crucial, as most interactions happen via video calls, chat, and version control platforms. Successful remote platform engineers proactively seek feedback, clarify requirements, and keep stakeholders updated on progress.

What is a Remote Platform Engineer?

A Remote Platform Engineer is a technology professional who designs, builds, and maintains the foundational systems (platforms) that support software applications, all while working from a remote location. Their responsibilities often include developing cloud infrastructure, automating deployment processes, and ensuring system reliability and scalability. They collaborate with other engineers and teams via digital tools, leveraging their expertise in areas like DevOps, cloud computing, and system architecture. This role requires strong technical skills, problem-solving abilities, and effective communication for remote teamwork.

What is the difference between Remote Platform Engineer vs Remote DevOps Engineer?

AspectRemote Platform EngineerRemote DevOps Engineer
CredentialsBachelor's in CS or related, certifications like AWS, AzureBachelor's in CS or related, certifications like AWS, Azure, Docker
Work EnvironmentDeveloping and maintaining platform infrastructure, cloud servicesAutomating deployment, CI/CD pipelines, infrastructure management
Industry UsageTech, SaaS, cloud providersTech, software development, cloud services

Both roles often require similar technical skills and certifications, focusing on cloud and infrastructure. The Remote Platform Engineer primarily builds and maintains platform infrastructure, while the Remote DevOps Engineer emphasizes automation, deployment pipelines, and continuous integration. They often collaborate but serve distinct functions within tech organizations.

What are the most commonly searched types of Platform Engineer jobs in Iowa? The most popular types of Platform Engineer jobs in Iowa are:
What are popular job titles related to Remote Platform Engineer jobs in Iowa? For Remote Platform Engineer jobs in Iowa, the most frequently searched job titles are:
What job categories do people searching Remote Platform Engineer jobs in Iowa look for? The top searched job categories for Remote Platform Engineer jobs in Iowa are:
Remote Platform Engineer jobs near you
Generative AI Automation Engineer - Remote Job

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Waterloo, IA • Remote

Other

Posted 8 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