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Platform Automation Engineer Jobs in Amherst, MA

iTek People, Inc.

SDET Engineer

Somers, CT · On-site

You will design test harnesses, establish testing best practices, and ensure our platform ... GitHub Actions, comfortable with automation in pipelines - Test data management: Experience ...

Praxt Talent

Director, Data Platforms

Springfield, MA

$160K - $215K/yr

Drive the adoption of modern data engineering patterns (streaming, automation, MLOps, domain-oriented modeling, Data Lake best practices). Leadership of Data Engineering & Platform Operations.

ISO New England, Inc.

Lead AWS Cloud Engineer

Holyoke, MA · On-site

$127K - $163K/yr

In this hands-on role, you will lead cloud platform standards, support architecture decisions ... Develop automation for account vending, baseline customization, golden AMI pipelines, and cloud ...

ISO New England, Inc.

Lead Data Engineer

Holyoke, MA · On-site

$150K - $170K/yr

You will build reliable, scalable data solutions, improve efficiency through automation and ... Drive Platform Performance & Reliability Ensure high availability and performance of data systems ...

CircuitHub

Full-Stack Robotics Engineer

Deerfield, MA · On-site

... platform designed to make small-batch, high-mix electronics assembly radically more efficient ... You'll have board-level visibility and help shape the future of our automation stack from the ...

Lancesoft

Data Analytics Engineer

Springfield, MA · On-site

$80 - $85/hr

... platforms, partnering closely with data engineering and architecture teams to ensure sustainability, performance, and supportability. * Apply advanced analytics, data modeling, and automation ...

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All JobsPlatform Automation Engineer JobsPlatform Automation Engineer Jobs in Amherst, MA

Platform Automation Engineer information

See Amherst, MA salary details

$36.4K

$105.5K

$160.5K

How much do platform automation engineer jobs pay per year?

As of Aug 3, 2026, the average yearly pay for platform automation engineer in Amherst, MA is $105,505.00, according to ZipRecruiter salary data. Most workers in this role earn between $85,200.00 and $121,600.00 per year, depending on experience, location, and employer.

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

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 Amherst, MA are hiring for Platform Automation Engineer jobs? Cities near Amherst, MA with the most Platform Automation Engineer job openings:
Platform Automation Engineer jobs near you

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Springfield, MA • Remote

Full-time

Re-posted 12 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