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Docker Remote Jobs in Orem, UT (NOW HIRING)

Whether you are at HQ, in a retail store, or remote, you will be part of a team that thrives on ... Expertise with Docker, Kubernetes, Terraform, and CI/CD tooling. * Experience with cloud platforms ...

Software Engineer III

Lehi, UT · Remote

$54 - $72.50/hr

Engineer III US - Lehi, Utah (Remote-friendly) RLDatix is on a mission to transform care delivery ... Docker, Terraform, OpenSearch/ElasticSearch, automated CI/CD, and AI integration or agent-building ...

Software Engineer III

Lehi, UT · Remote

$54 - $72.50/hr

Engineer III US - Lehi, Utah (Remote-friendly) RLDatix is on a mission to transform care delivery ... Docker, Terraform, OpenSearch/ElasticSearch, automated CI/CD, and AI integration or agent-building ...

Remote; Ability to travel up to 25% * Sales motion: Technical consultative selling across net-new ... Docker, Azure, AWS). Ability to apply software patterns (MSA, EDA) and diagram types (DFDs ...

This position is remote eligible for candidates who currently reside in Utah. What You'll Do ... Deep experience with AWS (Lambda, RDS, S3) and containerization (Docker/Kubernetes). * DevOps Savvy:

This position is remote eligible for candidates who currently reside in Utah. Click here to see why ... Own builds and deployments to staging and production using Docker, GitLab, and Kubernetes

This position is remote eligible for candidates who currently reside in Utah. What You'll Do ... Deep experience with AWS (Lambda, RDS, S3) and containerization (Docker/Kubernetes). * DevOps Savvy:

Docker Remote information

What is the difference between Docker Remote and Docker Engineer?

AspectDocker RemoteDocker Engineer
Required CredentialsDocker certifications, Linux fundamentalsDocker certifications, Linux fundamentals, scripting skills
Work EnvironmentRemote, cloud-based teamsOn-site or remote, development and deployment environments
Employer & Industry UsageTech companies, cloud providers, startupsSoftware development, DevOps teams, IT firms
Common Search & ComparisonYesYes

Docker Remote roles focus on managing Docker containers remotely, often requiring cloud and networking skills. Docker Engineers design, implement, and maintain containerized applications, involving scripting and infrastructure knowledge. While both roles involve Docker expertise, Docker Remote emphasizes remote management, whereas Docker Engineer emphasizes development and deployment tasks.

What are some common challenges faced by professionals working in remote Docker roles, and how can they be addressed?

Professionals in remote Docker roles often encounter challenges such as ensuring consistent environment replication across distributed teams and troubleshooting container issues without physical access to infrastructure. Effective communication and documentation are essential to align on container configurations and deployment processes. Utilizing collaborative tools, automated testing, and CI/CD pipelines can streamline workflows, while regular virtual meetings help maintain team cohesion and resolve issues promptly.

What is a Docker remote?

Docker Remote jobs are positions that involve working with Docker, a popular containerization platform, while allowing employees to work remotely from any location. These roles typically focus on building, deploying, and managing containerized applications and infrastructure using Docker. Common responsibilities may include creating Docker images, maintaining container orchestration, and troubleshooting container environments. Docker Remote jobs are sought after in tech companies embracing distributed workforces, and they require strong knowledge of Docker, cloud services, and DevOps practices.

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

To excel as a Docker Remote Engineer, you need a solid understanding of containerization concepts, Linux systems, and continuous integration/continuous deployment (CI/CD) pipelines, often supported by a degree in computer science or related experience. Familiarity with Docker CLI, Compose, Kubernetes, cloud platforms, and a Docker Certified Associate (DCA) certification are highly beneficial. Strong problem-solving skills, effective communication, and self-motivation are crucial soft skills for remote collaboration and troubleshooting. These competencies enable efficient, scalable application deployment and ensure seamless teamwork in distributed environments.
What are the most commonly searched types of Docker jobs in Orem, UT? The most popular types of Docker jobs in Orem, UT are:

Generative AI Automation Engineer - Remote Job

EnthuZiastic

Orem, UT • Remote

Full-time

Re-posted 17 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.