Entry Level Cloud Software Engineer Jobs
New grad cloud software engineer jobs are open to recent graduates and entry level candidates with zero to two years of experience, where a strong portfolio or internship project often carries more weight than a long resume. Most openings include a mix of remote and on-site roles across Technology & Software, Consulting & Professional Services, and Artificial Intelligence, with employers like Bitdeer (NASDAQ: BTDR), Google, and Peraton hiring at this level now.
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Showing 5 of 9+ Entry Level Cloud Software Engineer jobs
Title: Cloud AI Software Developer
Location: Remote
Duration: 6 months plus
Position Summary:
We are seeking an experienced AWS Cloud AI Software Developer to design, develop, and deploy cloud-native, AI-powered applications on AWS. The ideal candidate has a strong background in modern software development, cloud architecture, and Generative AI technologies, with experience building scalable applications using AWS services, AI development frameworks, and modern DevOps practices. This role will work closely with product owners, architects, DevOps engineers, and AI/ML teams to deliver innovative enterprise AI solutions.
Required Qualifications:
- Hands on experience developing applications on AWS.
- AWS Certified Solutions Architect – Associate preferred (Professional certification is a plus).
- Strong experience with:
- AWS cloud services
- Amazon Bedrock
- AWS Kiro
- GitHub Actions
- Python
- Shell scripting (Bash)
- TypeScript/JavaScript
- .NET (C#/.NET Core/.NET 8+ preferred)
- Experience developing RESTful APIs, microservices, and cloud-native applications.
- Understanding of cloud architecture patterns, security, and scalable application design.
- Experience with Git and collaborative software development workflows.
- Strong analytical, troubleshooting, and problem-solving skills.
Preferred Qualifications:
- Experience with Amazon SageMaker.
- Experience using GitHub Copilot (Codex) or similar AI-assisted coding tools.
- Experience with Claude Code for AI-assisted software development.
- Experience with Infrastructure as Code (Terraform or AWS CloudFormation).
- Experience with Docker, Kubernetes, or Amazon EKS.
- Knowledge of serverless application development using AWS Lambda.
- Familiarity with Agile/Scrum software development methodologies.
Key Responsibilities:
- Design, develop, and maintain cloud-native applications on AWS using modern software engineering best practices.
- Build and integrate Generative AI applications leveraging Amazon Bedrock and AWS Kiro.
- Develop APIs, microservices, and backend services using .NET and/or TypeScript/JavaScript.
- Integrate Large Language Models (LLMs) into enterprise applications while ensuring security, scalability, and performance.
- Collaborate with AI/ML engineers to deploy and consume AI models using Amazon Bedrock and, when applicable, Amazon SageMaker.
- Develop automation scripts and utilities using Python and shell scripting.
- Implement CI/CD pipelines using GitHub Actions to automate testing, deployments, and infrastructure provisioning.
- Utilize AI-assisted development tools such as Claude Code and GitHub Copilot (Codex) to improve developer productivity.
- Participate in architecture discussions and contribute to cloud-native solution design.
- Troubleshoot application issues, optimize performance, and implement security best practices.
- Create and maintain technical documentation, API specifications, and deployment guides.
- Stay current on AWS services, Generative AI technologies, and modern software development practices.
Title: Cloud AI Software Developer
Location: Remote
Duration: 6 months plus
Position Summary:
We are seeking an experienced AWS Cloud AI Software Developer to design, develop, and deploy cloud-native, AI-powered applications on AWS. The ideal candidate has a strong background in modern software development, cloud architecture, and Generative AI technologies, with experience building scalable applications using AWS services, AI development frameworks, and modern DevOps practices. This role will work closely with product owners, architects, DevOps engineers, and AI/ML teams to deliver innovative enterprise AI solutions.
Required Qualifications:
- Hands on experience developing applications on AWS.
- AWS Certified Solutions Architect – Associate preferred (Professional certification is a plus).
- Strong experience with:
- AWS cloud services
- Amazon Bedrock
- AWS Kiro
- GitHub Actions
- Python
- Shell scripting (Bash)
- TypeScript/JavaScript
- .NET (C#/.NET Core/.NET 8+ preferred)
- Experience developing RESTful APIs, microservices, and cloud-native applications.
- Understanding of cloud architecture patterns, security, and scalable application design.
- Experience with Git and collaborative software development workflows.
- Strong analytical, troubleshooting, and problem-solving skills.
Preferred Qualifications:
- Experience with Amazon SageMaker.
- Experience using GitHub Copilot (Codex) or similar AI-assisted coding tools.
- Experience with Claude Code for AI-assisted software development.
- Experience with Infrastructure as Code (Terraform or AWS CloudFormation).
- Experience with Docker, Kubernetes, or Amazon EKS.
- Knowledge of serverless application development using AWS Lambda.
- Familiarity with Agile/Scrum software development methodologies.
Key Responsibilities:
- Design, develop, and maintain cloud-native applications on AWS using modern software engineering best practices.
- Build and integrate Generative AI applications leveraging Amazon Bedrock and AWS Kiro.
- Develop APIs, microservices, and backend services using .NET and/or TypeScript/JavaScript.
- Integrate Large Language Models (LLMs) into enterprise applications while ensuring security, scalability, and performance.
- Collaborate with AI/ML engineers to deploy and consume AI models using Amazon Bedrock and, when applicable, Amazon SageMaker.
- Develop automation scripts and utilities using Python and shell scripting.
- Implement CI/CD pipelines using GitHub Actions to automate testing, deployments, and infrastructure provisioning.
- Utilize AI-assisted development tools such as Claude Code and GitHub Copilot (Codex) to improve developer productivity.
- Participate in architecture discussions and contribute to cloud-native solution design.
- Troubleshoot application issues, optimize performance, and implement security best practices.
- Create and maintain technical documentation, API specifications, and deployment guides.
- Stay current on AWS services, Generative AI technologies, and modern software development practices.
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Entry Level Cloud Software Engineer Jobs: Frequently Asked Questions
How do I get an entry level cloud software engineer job?
Entry level cloud software engineer roles typically look for hands-on experience with at least one major cloud platform, such as AWS, Azure, or Google Cloud, along with comfort in a scripting or systems language like Python or Go. Certifications like AWS Cloud Practitioner or Google Associate Cloud Engineer give candidates a measurable edge, and a GitHub portfolio with deployed projects can substitute for formal work history at this stage.
Which companies hire entry level cloud software engineers?
Companies hiring entry level cloud software engineers right now include Bitdeer (NASDAQ: BTDR), Google, and Peraton, based on current listings on Migrate Mate as of September 2026. Hiring at this level comes from a broad range of employers, including fast-growing startups building cloud-native products and established enterprises modernizing legacy infrastructure.
Are there remote entry level cloud software engineer jobs?
Yes, though availability varies by employer and role type. About 14% of entry level cloud software engineer openings are remote or hybrid as of September 2026, making this one of the more flexible technical disciplines for candidates who are not tied to a specific location. On-site roles still exist, particularly at companies that prefer in-person onboarding for junior engineers.
Are these new grad cloud software engineer jobs?
Yes, these listings include new grad, recent graduate, and junior cloud software engineer roles. A posting is generally new-grad friendly when it welcomes zero to two years of experience, accepts internship work or academic projects in place of full-time history, or calls out a degree as a substitute for prior employment. Searching for roles that list internships or coursework as qualifying experience is a reliable way to identify them.
Which industries hire the most entry level cloud software engineers?
Entry Level cloud software engineer roles concentrate in Technology & Software, Consulting & Professional Services, and Artificial Intelligence, based on current listings on Migrate Mate as of September 2026. Those sectors drive hiring at this level because they are either building cloud infrastructure from the ground up or scaling existing platforms rapidly enough to bring on junior engineers alongside senior staff.