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Entry Level Docker Developer Jobs in Dallas, TX (NOW HIRING)

Docker * Kubernetes * MLflow * CI/CD * MLOps * PySpark Education * Master''s degree in Computer ... entry level candidates are welcome , provided they have practical AI/ML projects and strong ...

Linux, Docker, Kubernetes, Azure/AWS/GCP; LTE/5G, network management Why join Ericsson. At Ericsson ... Automation Engineer Compensation and Benefits at Ericsson At Ericsson, we know that our people are ...

New

This entry-level position will contribute to the design, development, testing, deployment, and ... GitHub or Azure DevOps * Docker or container technologies * Must be eligible to work in the US with ...

Raytheon is seeking an entry-level Embedded Software Engineer (P1) to support development of Linux ... Experience using Docker or Podman. * Familiarity with real-time, platform, or low-level systems ...

Raytheon is seeking an entry-level Embedded Software Engineer (P1) to support development of Linux ... Experience using Docker or Podman. * Familiarity with real-time, platform, or low-level systems ...

Raytheon is seeking an entry-level Embedded Software Engineer (P1) to support development of Linux ... Experience using Docker or Podman. * Familiarity with real-time, platform, or low-level systems ...

Raytheon is seeking an entry-level Embedded Software Engineer (P1) to support development of Linux ... Experience using Docker or Podman. * Familiarity with real-time, platform, or low-level systems ...

Entry Level Docker Developer information

See Dallas, TX salary details

$31.7K

$93.1K

$159.8K

How much do entry level docker developer jobs pay per year?

As of Sep 6, 2026, the average yearly pay for entry level docker developer in Dallas, TX is $93,135.00, according to ZipRecruiter salary data. Most workers in this role earn between $62,300.00 and $100,400.00 per year, depending on experience, location, and employer.

What is the difference between Entry Level Docker Developer vs Entry Level Cloud Engineer?

AspectEntry Level Docker DeveloperEntry Level Cloud Engineer
Required CredentialsBasic knowledge of Docker, Linux, and scriptingBasic understanding of cloud platforms (AWS, Azure), scripting, and networking
Work EnvironmentDevelopment teams, DevOps, containerization projectsCloud infrastructure, deployment, and management
Employer & Industry UsageTech companies, startups, DevOps teamsCloud service providers, IT departments, SaaS companies
Search & Comparison IntentUnderstanding entry-level containerization rolesEntry-level cloud infrastructure roles

While both roles are entry-level and involve cloud and infrastructure concepts, the Entry Level Docker Developer focuses on containerization using Docker, whereas the Entry Level Cloud Engineer deals with broader cloud platform management and deployment. Candidates should choose based on their interest in container technology versus cloud infrastructure.

What are popular job titles related to Entry Level Docker Developer jobs in Dallas, TX?

For Entry Level Docker Developer jobs in Dallas, TX, the most frequently searched job titles are:

What job categories do people searching Entry Level Docker Developer jobs in Dallas, TX look for?

The top searched job categories for Entry Level Docker Developer jobs in Dallas, TX are:

Infographic showing various Entry Level Docker Developer job openings in Dallas, TX as of August 2026, with employment types broken down into 84% Full Time, 5% Part Time, and 11% Contract. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $93,135 per year, or $44.8 per hour.

Other

Posted 26 days ago


Job description

AI/ML Engineer

Location: Dallas, TX, United States
Job Type: Full-Time
Experience: 0–3 years
Work Authorization: OPT, H-1B, , or other valid US work authorization

Job Summary

We are seeking a motivated AI/ML Engineer to design, develop, train, and deploy machine learning and artificial intelligence solutions. The ideal candidate should have strong programming skills in Python and hands-on experience with machine learning, deep learning, data processing, and modern AI technologies.

Responsibilities
  • Develop and implement machine learning and deep learning models.
  • Perform data preprocessing, feature engineering, model training, and evaluation.
  • Build AI/ML solutions using Python and popular ML frameworks.
  • Work with structured and unstructured datasets.
  • Develop and optimize ML pipelines for model training and deployment.
  • Implement predictive models and recommendation/classification systems.
  • Work with Generative AI, LLMs, prompt engineering, or RAG-based applications.
  • Deploy and monitor ML models in cloud or production environments.
  • Collaborate with software engineers and data teams to integrate AI/ML models into applications.
  • Write clean, maintainable, and well-tested Python code.
  • Analyze model performance and improve accuracy, scalability, and efficiency.
Required Skills
  • Python
  • Machine Learning
  • Deep Learning
  • TensorFlow / PyTorch
  • Scikit-learn
  • NumPy
  • Pandas
  • SQL
  • Data Structures & Algorithms
  • Data Preprocessing & Feature Engineering
  • Model Training & Evaluation
  • REST APIs
  • Git
Preferred Skills
  • Generative AI / LLMs
  • Prompt Engineering
  • RAG
  • LangChain / LangGraph
  • NLP or Computer Vision
  • AWS / Azure / Google Cloud Platform
  • Docker
  • Kubernetes
  • MLflow
  • CI/CD
  • MLOps
  • PySpark
Education
  • Master''s degree in Computer Science, Information Technology, Artificial Intelligence, Machine Learning, Data Science, Engineering, Mathematics, or a related technical field.
  • Master''s degree preferred.
Ideal Candidate

The ideal candidate has a strong academic background in AI/ML, Computer Science, Data Science, or IT and can demonstrate hands-on experience through internships, academic projects, research, GitHub repositories, or professional experience.

entry level candidates are welcome, provided they have practical AI/ML projects and strong technical fundamentals.