ZipRecruiter

Log In

1

Platform Automation Engineer Jobs in Markham, IL

The Boyd Group

Senior Platform Engineer

Elmhurst, IL · On-site

$55 - $71/hr

Secure CI/CD automation identities and secrets usage patterns in pipelines (permissions, separation ... platform engineering in an enterprise environment. Demonstrated experience designing and ...

Ferrara

Automation Expert Engineer

Chicago, IL · On-site

$114K - $160K/yr

As the Automation Expert Engineer, you'll design, implement, and optimize the advanced control ... Proficiency with PLC programming, HMI/SCADA platforms, and industrial networking. * Passion for ...

Northern Base

Lead AI Automation Engineer

Chicago, IL · On-site

$120K - $130K/yr

Must Have Technical/Functional Skills UiPath, Microsoft Power Platform, enterprise RPA; Agentic AI, AI Agents, LLMs, Prompt Engineering, Intelligent Document Processing, Process Mining, Generative AI ...

Aroha Technologies

Automation Developer

Chicago, IL · On-site

Role: Automation Developer Location: 3 Lincoln Cntr Oakbrook Terrace, IL Duration: Long -Term ... Strong knowledge of workflow automation platforms (Power Platform preferred). * Experience with ...

previous page

Showing results 41-60

All JobsPlatform Automation Engineer JobsPlatform Automation Engineer Jobs in Markham, IL

Platform Automation Engineer information

See Markham, IL salary details

$35K

$101.4K

$154.3K

How much do platform automation engineer jobs pay per year?

As of Aug 12, 2026, the average yearly pay for platform automation engineer in Markham, IL is $101,437.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,900.00 and $116,900.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a platform automation engineer?

To thrive as a Platform Automation Engineer, you need strong programming skills (typically in Python, Bash, or similar languages), experience with infrastructure-as-code, and a solid understanding of cloud platforms, often supported by a degree in computer science or related fields. Familiarity with tools like Terraform, Ansible, Jenkins, and container orchestration systems (e.g., Kubernetes) is usually required, along with relevant cloud certifications. Excellent problem-solving abilities, collaboration, and effective communication are essential soft skills that set top candidates apart. These competencies enable efficient, reliable automation of infrastructure and deployment processes, ensuring scalability and operational excellence.

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

AspectPlatform Automation EngineerDevOps Engineer
CredentialsTypically requires certifications in cloud platforms, scripting, and automation toolsOften holds certifications in cloud, CI/CD, and scripting as well
Work EnvironmentFocuses on automating platform infrastructure, often within cloud or data center environmentsWorks across development and operations teams to streamline deployment and integration
Employer & IndustryUsed in cloud service providers, tech companies, and enterprises with large infrastructureCommon in software development, IT, and tech industries emphasizing continuous delivery

While both roles involve automation and cloud technologies, a Platform Automation Engineer primarily focuses on automating infrastructure and platform services, whereas a DevOps Engineer integrates development and operations processes to improve deployment and system reliability.

What are some typical challenges platform automation engineers face when integrating new automation tools into existing infrastructure?

Platform Automation Engineers often encounter challenges such as ensuring compatibility between new automation tools and legacy systems, minimizing downtime during integration, and maintaining security standards. They must also collaborate closely with development, operations, and security teams to align automation solutions with organizational workflows. Staying adaptable and proactive in solving unforeseen integration issues is key to success in this dynamic environment.

What is a platform automation engineer?

A Platform Automation Engineer is a technology professional who focuses on designing, developing, and maintaining automated systems and tools that streamline the management and deployment of software platforms. Their work often includes creating scripts, implementing infrastructure as code, automating workflows, and ensuring the reliability and scalability of IT environments. These engineers collaborate with development, operations, and QA teams to improve efficiency, reduce manual intervention, and support continuous integration and delivery pipelines.
What cities near Markham, IL are hiring for Platform Automation Engineer jobs? Cities near Markham, IL with the most Platform Automation Engineer job openings:
Platform Automation Engineer jobs near you

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Chicago, IL • On-site

Other

Re-posted 22 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