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Entry Level Cloud Developer Jobs in Durham, NC (NOW HIRING)

Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS ... PwC does not intend to hire experienced or entry level job seekers who will need, now or in the ...

... Cloud computing and IT staffing. Merging Information Technology skills in all its services and ... We use Objective C and Swift programming languages to create native applications for iPhone ...

... Cloud for project delivery - Developing data-driven insights to inform strategic decision-making ... Supply Chain Management, Operations Management, Industrial Engineering, Business Administration ...

Showing results 21-38

Entry Level Cloud Developer information

See Durham, NC salary details

$30.4K

$89.5K

$153.6K

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

As of Sep 6, 2026, the average yearly pay for entry level cloud developer in Durham, NC is $89,534.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,900.00 and $96,500.00 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.

Infographic showing various Entry Level Cloud Developer job openings in Durham, NC as of August 2026, with employment types broken down into 88% Full Time, 6% Part Time, and 6% Contract. Highlights an 76% Physical, 7% Hybrid, and 17% Remote job distribution, with an average salary of $90,976 per year, or $43.7 per hour.

AI & GenAI Data Scientist - Manager

Pwc

Raleigh, NC • On-site

$99K - $232K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 11 days ago


Key responsibilities

  • Design and implement AI systems to transform raw data into actionable insights

  • Lead teams in the development of scalable machine learning models and solutions

  • Manage complex data analysis and integration to support AI-driven initiatives


PwC rating

8.3

Company rating: 8.3 out of 10

Based on 77 frontline employees who took The Breakroom Quiz

26th of 72 rated business consultants


Job description

Industry/Sector

Not Applicable

Specialism

Data, Analytics & AI

Management Level

Manager

Job Description & Summary

The Opportunity
As an AI & GenAI Data Scientist - Manager, you will play a pivotal role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth. Within our Technology Consulting practice, you will leverage advanced technologies and techniques to design and develop robust data solutions for clients. As a Manager, you will enhance your leadership style by motivating, developing, and inspiring others to deliver quality. You will be responsible for coaching, leveraging team members' unique strengths, and managing performance to meet client expectations. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way.
In this role at PwC, you will apply data, algorithms, and software engineering to build and deploy software and platform systems that create Artificial Intelligence and Machine Learning-based solutions at scale. Your work will involve designing AI systems, data wrangling, and software implementation to enable AI models to be useful and scalable. You will also identify opportunities that contribute to the success of our firm, embracing technology and innovation to enhance your delivery and encouraging others to do the same.
Responsibilities
- Designing and implementing AI systems to transform raw data into actionable insights
- Leading teams in the development of scalable machine learning models and solutions
- Managing complex data analysis and integration to support AI-driven initiatives
- Utilizing programming languages such as Python and Java to enhance AI model deployment
- Overseeing the creation and maintenance of data pipelines and infrastructure
- Applying deep learning techniques and neural networks to improve predictive analytics
- Collaborating with stakeholders to address data challenges and optimize AI applications
- Mentoring team members to develop skills in AI implementation and data engineering
- Validating data quality and compliance within AI frameworks
- Encouraging innovation and embracing change to drive business growth through AI solutions
What You Must Have
- At least a Bachelor's degree
- At least 6 years of experience
What Sets You Apart
- Preference for at least one of the following fields of study: Management Information Systems, Computer and Information Science, Systems Engineering, Mathematics, Engineering, Electrical Engineering, Chemical Engineering, Industrial Engineering, Mathematics, Statistics, or Mathematical Statistics, Data Processing/Analytics/Science, Artificial Intelligence and Robotics
- At least one of the following: Certifications aligned to data engineering, machine learning, and cloud platforms, including AWS, Google Cloud, Microsoft Azure, Databricks, Snowflake, or related data and AI credentials
- Demonstrating proficiency in AI implementation and machine learning libraries
- Utilizing complex data analysis and data modeling techniques
- Excelling in coaching and mentoring team members
- Embracing change and innovation in technology consulting
- Developing skills in neural networks and natural language processing

Travel Requirements

Up to 80%

Job Posting End Date

The salary range for this position is: $99,000 - $232,000. Actual compensation within the range will be dependent upon the individual's skills, experience, qualifications and location, and applicable employment laws. All hired individuals are eligible for an annual discretionary bonus. PwC offers a wide range of benefits, including medical, dental, vision, 401k, holiday pay, vacation, personal and family sick leave, and more. To view our benefits at a glance, please visit the following link: https://pwc.to/benefits-at-a-glanceAs PwC is anequal opportunity employer, all qualified applicants will receive consideration for employment at PwC without regard to race; color; religion; national origin; sex (including pregnancy, sexual orientation, and gender identity); age; disability; genetic information (including family medical history); veteran, marital, or citizenship status; or, any other status protected by law.PwC does not intend to hire experienced or entry level job seekers who will need, now or in the future, PwC sponsorship through the H-1B lottery, except as set forth within the following policy: https://pwc.to/H-1B-Lottery-Policy.Learn more about how we work: https://pwc.to/how-we-workFor only those qualified applicants that are impacted by the Los Angeles County Fair Chance Ordinance for Employers, the Los Angeles' Fair Chance Initiative for Hiring Ordinance, the San Francisco Fair Chance Ordinance, San Diego County Fair Chance Ordinance, and the California Fair Chance Act, where applicable, arrest or conviction records will be considered for Employment in accordance with these laws. At PwC, we recognize that conviction records may have a direct, adverse, and negative relationship to responsibilities such as accessing sensitive company or customer information, handling proprietary assets, or collaborating closely with team members. We evaluate these factors thoughtfully to establish a secure and trusted workplace for all.Applications will be accepted until the position is filled or the posting is removed, unless otherwise set forth on the following webpage. Please visit this link for information about anticipated application deadlines: https://pwc.to/us-application-deadlines

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About pwc

Sourced by ZipRecruiter

We know that the future success of our firm is contingent on equitable experiences for our people. From recruitment to partnership, we’re working hard to give every person an equitable opportunity to grow and to thrive as part of our community of solvers. We understand that establishing and maintaining a fair, equitable and welcoming environment for all people requires building a culture of belonging: a shift from awareness to empathy — while demonstrating inclusive leadership that cultivates trust among our people and our clients. PwC is committed to advancing diversity, equity and inclusion (DEI) through an evidence-based strategy designed to achieve well-defined and meaningful aspirational goals. Our aim is to solve problems for the long term, as that is how we build trust and continue to build on our culture of belonging. At the core of this endeavor are stated goals and a series of linked programs enabling targeted interventions at key moments in our employees’ career trajectories.

Industry

Finance and insurance

Company size

10,000+ Employees

Headquarters location

London, London, UK