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Entry Level Cloud Developer Jobs in Texas (NOW HIRING)

Deploy and monitor ML models in cloud or production environments. * Collaborate with software ... entry level candidates are welcome , provided they have practical AI/ML projects and strong ...

$15.50 - $20/hr

... entry-level development program, where applicable. What you will gain * Hands-on work connected to ... cloud platforms, systems administration, networking, cybersecurity, DevOps, database technologies ...

$14.75 - $19.75/hr

... entry-level positions. You'll receive a status update email for each application, so be sure to ... Business, Computer Science, MIS/IT, Computer Engineering, Data Science, SW Engineering,or related ...

This entry-level position will contribute to the design, development, testing, deployment, and ... Cloud Technologies * Digital Energy Management * Power Distribution Systems You will make an impact ...

Experience with Cisco, Juniper, or other network equipment is a plus. Entry-level certifications (e ... Familiarity with cloud networking (AWS, Azure, GCP) is a plus. Interest in SDN (Software-Defined ...

Data Engineer I

Farmers Branch, TX ยท On-site

$110K - $132K/yr

The Data Engineer I (DE I) is an entry-level engineering position responsible for contributing to ... Builds foundational engineering capabilities supporting a scalable, cloud-based enterprise data ...

Data Engineer I

Farmers Branch, TX ยท On-site

$110K - $132K/yr

The Data Engineer I (DE I) is an entry-level engineering position responsible for contributing to ... Builds foundational engineering capabilities supporting a scalable, cloud-based enterprise data ...

Showing results 41-60

Entry Level Cloud Developer information

See Texas salary details

$29.8K

$87.7K

$150.5K

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

As of Sep 9, 2026, the average yearly pay for entry level cloud developer in Texas is $87,714.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,700.00 and $94,600.00 per year, depending on experience, location, and employer.

What is an entry level cloud developer?

An entry level cloud developer is a technology professional who designs, develops, and maintains applications and services that are hosted on cloud platforms such as AWS, Azure, or Google Cloud. They typically work with cloud-based tools, programming languages, and services to help organizations leverage the benefits of cloud computing, including scalability and cost-efficiency. Entry level cloud developers usually have foundational knowledge in software development and cloud technologies, and they assist in migrating, deploying, and optimizing applications in the cloud environment.

What are the key skills and qualifications needed to thrive as an entry level cloud developer?

To thrive as an Entry Level Cloud Developer, you need a solid grasp of programming languages (such as Python, Java, or JavaScript), understanding of cloud computing fundamentals, and often a relevant degree or certification. Familiarity with cloud platforms like AWS, Azure, or Google Cloud, as well as version control systems like Git, is typically required. Strong problem-solving skills, attention to detail, and the ability to collaborate effectively distinguish top candidates in this role. These skills are crucial for building reliable cloud solutions, adapting to evolving technologies, and contributing to team-based development projects.

What does a typical onboarding and training process look like for an entry level cloud developer?

As an Entry Level Cloud Developer, onboarding typically involves a combination of structured training sessions on the company's cloud platforms (such as AWS, Azure, or Google Cloud), paired with hands-on mentorship from more experienced developers. You'll likely spend your first few weeks familiarizing yourself with the organization's codebase, deployment processes, and cloud infrastructure tools. Regular check-ins with your team lead and opportunities to collaborate on small projects help build your confidence and technical skills. Most companies also encourage participation in knowledge-sharing meetings or workshops to support your ongoing professional development.

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

AspectEntry Level Cloud DeveloperCloud Engineer
Required CredentialsBasic cloud certifications (e.g., AWS Certified Cloud Practitioner), relevant programming skillsAdvanced certifications (e.g., AWS Certified Solutions Architect), extensive cloud experience
Work EnvironmentDevelopment-focused, coding, testing, and deploying cloud applicationsDesigning, implementing, and managing cloud infrastructure and solutions
Employer & Industry UsageStartups, tech companies, software firmsLarge enterprises, cloud service providers, IT consulting firms

Entry Level Cloud Developers primarily focus on coding and deploying cloud-based applications, often with basic certifications and limited experience. Cloud Engineers have a broader role involving designing and managing cloud infrastructure, requiring more advanced skills and certifications. Both roles are essential in cloud computing but differ in scope and responsibilities.

What are the most commonly searched types of Cloud Developer jobs in Texas?

The most popular types of Cloud Developer jobs in Texas are:

What cities in Texas are hiring for Entry Level Cloud Developer jobs?

Cities in Texas with the most Entry Level Cloud Developer job openings:

Infographic showing various Entry Level Cloud Developer job openings in Texas as of August 2026, with employment types broken down into 89% Full Time, 4% Part Time, 6% Contract, and 1% Nights. Highlights an 76% Physical, 8% Hybrid, and 16% Remote job distribution, with an average salary of $87,714 per year, or $42.2 per hour.

AI/ML Engineer

Dallas, TX โ€ข On-site

Other

Posted 28 days ago


Job description

AI/ML Engineer

Location: Dallas, TX, United States
Job Type: Full-Time
Experience: 0โ€“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.