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Remote Docker Developer Jobs in Montgomery, AL (NOW HIRING)

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Remote Docker Developer information

See Montgomery, AL salary details

$39.6K

$128K

$156.8K

How much do remote docker developer jobs pay per year?

As of Sep 11, 2026, the average yearly pay for remote docker developer in Montgomery, AL is $127,953.00, according to ZipRecruiter salary data. Most workers in this role earn between $104,900.00 and $155,300.00 per year, depending on experience, location, and employer.

What is a remote Docker developer?

A Remote Docker Developer is a software professional who specializes in using Docker to create, deploy, and manage containerized applications, all while working from a remote location. They design solutions that leverage Docker to ensure consistency, scalability, and reliability across development and production environments. These developers often collaborate with distributed teams to streamline application deployment, optimize infrastructure, and support DevOps workflows. Their work typically involves writing Dockerfiles, setting up container orchestration tools like Kubernetes, and automating CI/CD pipelines.

What are the key skills and qualifications needed to thrive as a remote Docker developer?

To thrive as a Remote Docker Developer, you need strong proficiency in containerization, cloud computing, and software development, typically supported by experience with Docker and orchestration tools like Kubernetes. Familiarity with CI/CD pipelines, cloud platforms (AWS, Azure, or GCP), and Docker Certified Associate certification are often expected. Excellent problem-solving, independent time management, and collaborative communication skills set top performers apart in remote environments. These skills ensure robust, scalable software deployment and effective collaboration in distributed teams.

How does a remote Docker developer typically collaborate with team members to manage containerized applications?

As a Remote Docker Developer, collaboration is usually facilitated through version control systems like Git, continuous integration/continuous deployment (CI/CD) pipelines, and communication tools such as Slack or Microsoft Teams. You’ll often work closely with DevOps engineers, backend developers, and QA teams to design, deploy, and troubleshoot Docker containers in cloud-based environments. Regular standups and code reviews help maintain alignment and code quality, while documentation and shared repositories ensure everyone stays updated on container configurations and orchestration strategies. Strong communication and proactive problem-solving are essential, as remote settings require clarity and timeliness to keep projects on track.

What is the difference between Remote Docker Developer vs Remote Cloud Engineer?

AspectRemote Docker DeveloperRemote Cloud Engineer
Required CredentialsDocker certifications, Linux fundamentalsCloud platform certifications (AWS, Azure), Docker knowledge
Work EnvironmentDevelopment environments, containerization tasksCloud infrastructure, deployment pipelines
Employer & Industry UsageTech companies, startups, software firmsLarge enterprises, cloud service providers
Common Search & Comparison IntentFocus on containerization skillsFocus on cloud infrastructure and deployment

Remote Docker Developers primarily focus on creating, managing, and optimizing containerized applications using Docker. In contrast, Remote Cloud Engineers work on deploying and managing cloud infrastructure across platforms like AWS or Azure, often utilizing Docker as part of their toolkit. While both roles require knowledge of Docker, the Cloud Engineer role emphasizes cloud services and infrastructure management, making it broader in scope.

Remote Docker Developer jobs near you

Generative AI Automation Engineer - Remote Job

Montgomery, AL • Remote

EnthuZiastic
E-Learning • 11 - 50 employees
Learn more about EnthuZiasticexternal

Full-time

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