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Cloud Computing Developer Jobs in Oklahoma (NOW HIRING)

Accenture

AI & HPC Infrastructure Engineer

Oklahoma City, OK · On-site

$99K - $131K/yr

Minimum of 5+ years of experience designing, deploying, and managing AI infrastructure and accelerated computing environments across on-premises, cloud, and hybrid environments for hyperscaler ...

Accenture

$93K - $123K/yr

Minimum of 5+ years of experience designing, deploying, and managing AI infrastructure and accelerated computing environments across on-premises, cloud, and hybrid environments for hyperscaler ...

TAT Technologies Ltd

IT Operations Manager

Tulsa, OK · On-site

Maintain and optimize local and cloud-based networks, servers, and systems. * Administer Microsoft ... Support end-user computing, help desk operations, and technology training. Requirements * Bachelor ...

TAT Technologies Ltd

IT Operations Manager

Tulsa, OK

Maintain and optimize local and cloud-based networks, servers, and systems. * Administer Microsoft ... Support end-user computing, help desk operations, and technology training. Requirements * Bachelor ...

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All JobsCloud Computing Developer JobsCloud Computing Developer Jobs in Oklahoma

Cloud Computing Developer information

See Oklahoma salary details

$9

$56

$78

How much do cloud computing developer jobs pay per hour?

As of Jul 14, 2026, the average hourly pay for cloud computing developer in Oklahoma is $56.98, according to ZipRecruiter salary data. Most workers in this role earn between $49.95 and $68.37 per hour, depending on experience, location, and employer.

What do you do as a cloud developer?

A cloud computing developer designs, builds, and maintains applications and services that run on cloud platforms such as AWS, Azure, or Google Cloud. They work with cloud infrastructure, programming languages, and tools like containers and automation scripts to ensure scalable, reliable, and secure cloud solutions. Proficiency in cloud architecture, scripting, and certifications can enhance their effectiveness in this role.

Will AI replace cloud computing jobs?

AI is unlikely to fully replace cloud computing developers, as their role involves designing, managing, and optimizing cloud infrastructure, which requires specialized skills and problem-solving abilities. Instead, AI tools are expected to augment their work by automating routine tasks and enhancing system efficiency, making continuous learning and certification in cloud platforms valuable for job security.

What are some common challenges Cloud Computing Developers face when integrating new cloud services into existing systems?

Cloud Computing Developers often encounter challenges such as ensuring compatibility between legacy infrastructure and new cloud services, managing data migration with minimal downtime, and addressing security and compliance concerns during integration. Collaboration with cross-functional teams, including DevOps and security specialists, is essential to identify potential risks and design seamless workflows. Staying updated with evolving cloud technologies and best practices also helps developers effectively overcome these integration hurdles.

What is a Cloud Computing Developer?

A Cloud Computing Developer is a software professional who designs, develops, and maintains applications and services that run on cloud platforms such as AWS, Microsoft Azure, or Google Cloud. Their work involves using cloud-based infrastructure, APIs, and tools to build scalable, secure, and reliable solutions. These developers often work with technologies like containers, serverless computing, and cloud databases, and are responsible for ensuring cloud applications perform efficiently. They also focus on optimizing costs, managing cloud resources, and implementing security best practices in the cloud environment.

What is the difference between Cloud Computing Developer vs Cloud Software Engineer?

AspectCloud Computing DeveloperCloud Software Engineer
Primary FocusDesigning and developing cloud-based applications and solutionsBuilding, deploying, and maintaining cloud infrastructure and services
Skills & CertificationsCloud platforms (AWS, Azure), programming, APIs, DevOpsCloud architecture, scripting, automation, CI/CD tools
Work EnvironmentDevelopment teams, cloud platforms, software projectsOperations, infrastructure, deployment pipelines
Industry UsageTech companies, SaaS providers, startupsEnterprises, cloud service providers, IT departments

While both roles involve cloud technologies, Cloud Computing Developers focus on creating cloud applications, whereas Cloud Software Engineers work on cloud infrastructure and deployment systems. Understanding these differences helps in choosing the right career path or job search focus.

What are the key skills and qualifications needed to thrive as a Cloud Computing Developer, and why are they important?

A Cloud Computing Developer should have strong programming skills (such as Java, Python, or Go), knowledge of cloud architecture, and experience with major cloud platforms like AWS, Azure, or Google Cloud, often supported by relevant certifications. Familiarity with tools like Docker, Kubernetes, CI/CD pipelines, and infrastructure-as-code (e.g., Terraform) is typically required. Problem-solving ability, teamwork, and effective communication are crucial soft skills for designing scalable solutions and collaborating with cross-functional teams. These skills ensure the developer can build reliable, secure, and efficient cloud applications that meet organizational needs.

Are cloud developers in high demand?

Cloud computing developers are in high demand due to the increasing adoption of cloud services by businesses. Skills in platforms like AWS, Azure, or Google Cloud, along with knowledge of programming and security, enhance job prospects in this field.

Is cloud developer a good career?

A cloud computing developer is a valuable role in the tech industry, focusing on designing, building, and maintaining cloud-based applications and infrastructure. It often requires skills in cloud platforms like AWS, Azure, or Google Cloud, along with programming and security knowledge. The demand for cloud developers is high due to the increasing adoption of cloud services across industries.
What are popular job titles related to Cloud Computing Developer jobs in Oklahoma? For Cloud Computing Developer jobs in Oklahoma, the most frequently searched job titles are:
What job categories do people searching Cloud Computing Developer jobs in Oklahoma look for? The top searched job categories for Cloud Computing Developer jobs in Oklahoma are:
Cloud Computing Developer jobs near you
Infographic showing various Cloud Computing Developer job openings in Oklahoma as of July 2026, with employment types broken down into 90% Full Time, 5% Part Time, 1% Temporary, and 4% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution, with an average salary of $118,524 per year, or $57 per hour.
Senior Engineer, Data Science

Senior Engineer, Data Science

Continental Resources

Oklahoma City, OK • On-site

$98K - $133K/yr

Full-time

Posted 26 days ago

Job description

Job Summary:
Continental Resources is a leading company in the energy sector, and they are seeking a Senior Engineer, Data Science to design and operationalize advanced analytics and AI/ML solutions. This role involves collaborating with various stakeholders to develop data-driven solutions that enhance operations across subsurface, drilling, and production functions.
Responsibilities:
• Leads the design, development, and deployment of Artificial Intelligence/Machine Learning solutions for upstream subsurface and well operations, including physics-informed and hybrid modeling approaches for reservoir, drilling, and production optimization.
• Builds advanced Artificial Intelligence/Machine Learning solutions for commercial analytics use cases such as pricing, supply chain, marketing, and trading to improve profitability and decision speed.
• Executes complex AI initiatives from ideation and discovery through model development, deployment, and sustainment as part of integrated, enterprise-level teams.
• Architects and implements reliable data pipelines and features using modern data platforms (e.g., Databricks, cloud services), ensuring data quality, lineage, and performance for analytics workloads.
• Applies Machine Learning Ops best practices to automate training, testing, deployment, monitoring, and model lifecycle management at scale in production environments.
• Translates complex business problems into analytical approaches with clear hypotheses, success criteria, and measurable outcomes across upstream and commercial domains.
• Develops and delivers communications that convey a clear understanding of technical concepts, model results, and business implications to diverse technical and non-technical audiences.
• Builds strong partnerships and cross-functional relationships with geoscience, engineering, operations, commercial, IT, and leadership stakeholders to drive adoption and sustain business impact.
• Gains the confidence and trust of others through honesty, integrity, and follow-through while championing responsible and secure use of data and AI.
• Actively seeks new ways to grow and be challenged by staying current on emerging Artificial Intelligence/Machine Learning, generative AI, optimization, and computational techniques relevant to energy and integrating them where they add value.
• Other duties as assigned.
Qualifications:
Required:
• Bachelor of Science in Petroleum, Mechanical, Chemical, or related Engineering discipline from an accredited college or university and Master of Science in Data Science, or a closely related data science or analytics field, from an accredited college or university.
• Minimum five (5) years of hands-on experience delivering production-grade data science/Machine Learning solutions, including end-to-end lifecycle from discovery to deployment and sustainment.
• Proficiency in Python and SQL; experience with Machine Learning frameworks and tooling (e.g., scikit-learn, PyTorch/TensorFlow), and data platforms such as Databricks and cloud services.
• Experience building and maintaining data pipelines and features and applying Machine Learning Ops practices for model deployment and monitoring in enterprise environments.
• Demonstrated ability to partner with technical and business domains in energy, including upstream subsurface, drilling/completions, production operations, and/or commercial analytics such as pricing, supply chain, marketing, or trading.
• An acceptable pre-employment background and drug test.
Preferred:
• Oil and gas industry experience, particularly in upstream engineering, subsurface, drilling and completions, production operations, or commercial energy analytics.
• Background in computational sciences, optimization, or high-performance computing for engineering applications.
• Familiarity with enterprise data governance, security, and responsible AI practices in regulated environments.
• Five (5) or more years of combined oil and gas engineering/domain experience and applied data science experience.
Company:
Continental Resources is focused on the exploration and production of onshore oil prone plays and is a Top 10 independent oil producer. Founded in 1967, the company is headquartered in Oklahoma City, USA, with a team of 1001-5000 employees. The company is currently Late Stage.

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