Mid Level Cloud Developer Jobs
Mid level cloud developer jobs go to engineers ready to own infrastructure and feature delivery end to end, mentor junior teammates, and make architectural decisions with limited oversight. Openings are concentrated across Technology & Software, Healthcare & Medical Services, and Consulting & Professional Services, with 33% remote or hybrid availability, and employers like AMroute, Artech, and E-INFOSOL hiring at this level now.
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Position Summary
We are seeking an experienced AWS Cloud AI DevOps Developer to design, build, and automate cloud-native AI development platforms and deployment pipelines on AWS. The ideal candidate has strong expertise in AWS infrastructure, Infrastructure as Code (Terraform), CI/CD automation, and emerging Generative AI services such as Amazon Bedrock and AWS Kiro. This role will partner closely with software engineers, AI/ML teams, and cloud architects to deliver secure, scalable, and automated AI solutions.
Required Qualifications
- 3–5 years of hands-on experience with AWS cloud technologies.
- AWS Solutions Architect – Associate certification preferred (Professional certification is a plus).
- Experience with:
- AWS Bedrock
- AWS Kiro
- GitHub Actions
- Terraform
- Python
- Shell scripting (Bash)
- Strong understanding of:
- AWS networking, IAM, EC2, Lambda, S3, CloudWatch, CloudFormation, and related services
- CI/CD automation and DevOps best practices
- Infrastructure as Code (IaC)
- Git version control and collaborative development workflows
- Experience deploying cloud-native applications in production environments.
- Strong troubleshooting, automation, and problem-solving skills.
Key Responsibilities
- Design, implement, and maintain cloud-native infrastructure on AWS using Infrastructure as Code (Terraform).
- Build and manage CI/CD pipelines using GitHub Actions to automate application and infrastructure deployments.
- Develop and maintain AI application deployment workflows utilizing Amazon Bedrock and AWS Kiro.
- Automate cloud operations, provisioning, monitoring, and configuration management.
- Collaborate with AI/ML engineers to deploy, manage, and optimize generative AI workloads.
- Develop automation scripts and utilities using Python and shell scripting.
- Implement cloud security, IAM policies, networking, and governance best practices.
- Monitor system performance, troubleshoot production issues, and optimize cloud infrastructure.
- Support DevSecOps practices by integrating security scanning and compliance checks into CI/CD pipelines.
- Document architecture, deployment procedures, and operational runbooks.
- Stay current with AWS AI services, DevOps technologies, and cloud best practices.
Certifications
Preferred
- AWS Certified Solutions Architect – Associate
- AWS Certified Solutions Architect – Professional
- AWS Certified DevOps Engineer – Professional (a plus)
Position Summary
We are seeking an experienced AWS Cloud AI DevOps Developer to design, build, and automate cloud-native AI development platforms and deployment pipelines on AWS. The ideal candidate has strong expertise in AWS infrastructure, Infrastructure as Code (Terraform), CI/CD automation, and emerging Generative AI services such as Amazon Bedrock and AWS Kiro. This role will partner closely with software engineers, AI/ML teams, and cloud architects to deliver secure, scalable, and automated AI solutions.
Required Qualifications
- 3–5 years of hands-on experience with AWS cloud technologies.
- AWS Solutions Architect – Associate certification preferred (Professional certification is a plus).
- Experience with:
- AWS Bedrock
- AWS Kiro
- GitHub Actions
- Terraform
- Python
- Shell scripting (Bash)
- Strong understanding of:
- AWS networking, IAM, EC2, Lambda, S3, CloudWatch, CloudFormation, and related services
- CI/CD automation and DevOps best practices
- Infrastructure as Code (IaC)
- Git version control and collaborative development workflows
- Experience deploying cloud-native applications in production environments.
- Strong troubleshooting, automation, and problem-solving skills.
Key Responsibilities
- Design, implement, and maintain cloud-native infrastructure on AWS using Infrastructure as Code (Terraform).
- Build and manage CI/CD pipelines using GitHub Actions to automate application and infrastructure deployments.
- Develop and maintain AI application deployment workflows utilizing Amazon Bedrock and AWS Kiro.
- Automate cloud operations, provisioning, monitoring, and configuration management.
- Collaborate with AI/ML engineers to deploy, manage, and optimize generative AI workloads.
- Develop automation scripts and utilities using Python and shell scripting.
- Implement cloud security, IAM policies, networking, and governance best practices.
- Monitor system performance, troubleshoot production issues, and optimize cloud infrastructure.
- Support DevSecOps practices by integrating security scanning and compliance checks into CI/CD pipelines.
- Document architecture, deployment procedures, and operational runbooks.
- Stay current with AWS AI services, DevOps technologies, and cloud best practices.
Certifications
Preferred
- AWS Certified Solutions Architect – Associate
- AWS Certified Solutions Architect – Professional
- AWS Certified DevOps Engineer – Professional (a plus)
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Who's Hiring
Top Industries Hiring
- Technology & Software
- Healthcare & Medical Services
- Consulting & Professional Services
Mid Level Cloud Developer Jobs: Frequently Asked Questions
How do I get a mid level cloud developer job?
Position yourself around ownership, not just contribution. Highlight projects where you drove decisions, debugged production issues independently, or improved deployment pipelines without step-by-step guidance. In applications, lead with cloud platforms you know deeply, certifications you hold, and specific outcomes you delivered. Recruiters at this level are screening for engineers who reduce friction on the team, not engineers who need close direction.
Which companies hire mid level cloud developers?
Companies hiring mid level cloud developers right now include AMroute, Artech, and E-INFOSOL, based on current listings on Migrate Mate as of September 2026. Hiring at this level covers large enterprises building internal platform teams, mid-size technology companies scaling their infrastructure, and consulting firms staffing cloud migration and modernization projects.
Are there remote mid level cloud developer jobs?
Yes, remote mid level cloud developer roles are widely available. About 33% of mid level cloud developer openings are remote or hybrid as of September 2026, reflecting the distributed nature of cloud infrastructure work. Many teams operate fully async across time zones, making this one of the more remote-accessible specializations in software engineering.
How do I move up to a mid level cloud developer role?
The path from entry level to mid level is built on depth and demonstrated ownership. Early in your career, focus on becoming the go-to person for one cloud platform, then expand into adjacent areas like networking, security, or cost optimization. Taking on projects end to end, documenting what you built, and showing measurable impact, such as reduced deployment time or improved uptime, signals readiness for mid level responsibilities.
Which industries hire the most mid level cloud developers?
Mid Level cloud developer roles concentrate in Technology & Software, Healthcare & Medical Services, and Consulting & Professional Services, based on current listings on Migrate Mate as of September 2026. These sectors drive hiring at this level because their operations depend on scalable, always-on cloud infrastructure, and they need engineers who can own that infrastructure rather than simply maintain configurations written by others.