Cloud Engineer

Position: Cloud Engineer - w2 only
Location: Remote
Duration: Contract
Job ID: 179620

Job Overview:
We are seeking a skilled Cloud Engineer to join our team in Plano, Texas. The ideal candidate will collaborate with Agile teams to design, develop, test, and implement technical solutions using cloud, DevOps, and full-stack development tools and technologies. This role involves working with Python-based microservices, integrating SaaS products, and leveraging AWS services to build and maintain robust cloud infrastructure.

Responsibilities:

• Collaborate with Agile teams to design, develop, test, implement, and support technical solutions using cloud, DevOps, and full-stack development tools and technologies.
• Support multiple Python-based microservices, batch jobs, and cloud-native integrations.
• Integrate SaaS products and third-party platforms into the ecosystem, ensuring secure connectivity, identity integration, monitoring, and operational readiness.
• Design and implement automation to streamline provisioning, deployment, monitoring, incident response, and ongoing platform support.
• Utilize Python, SQL, open-source RDBMS, and cloud-based data warehousing services such as Snowflake.
• Leverage AWS services such as ECS, EMR, S3, RDS, Athena, Lambda, CloudWatch, IAM, and related cloud infrastructure capabilities.
• Build and maintain CI/CD pipelines, infrastructure-as-code, automated deployments, and environment management processes.
• Apply extensive DevOps practices including automation, observability, reliability engineering, release management, and production support.
• Perform unit tests and conduct code reviews to ensure solutions are rigorously designed, securely implemented, effectively automated, and tuned for performance.

Qualifications:

• 8+ years of experience in application development using Python, Scala, or similar programming languages.
• 6+ years of experience with relational databases and SQL.
• 5+ years of experience with AWS cloud platforms and services.
• 5+ years of experience with DevOps practices, CI/CD pipelines, automation, and production support.
• 4+ years of experience with infrastructure-as-code or automation tools such as Terraform, CloudFormation, Jenkins, GitHub Actions, or similar.
• 4+ years of data warehousing experience with Snowflake or similar platforms.
• 4+ years of experience with UNIX/Linux, including basic commands and shell scripting.
• 5+ years of experience with Agile engineering practices.
• Experience using AI-assisted programming tools such as Claude, Windsurf, or similar tools is a plus.
• Experience integrating SaaS or third-party products into enterprise environments is a plus.

About PTR Global: PTR Global is a leading provider of information technology and workforce solutions. PTR Global has become one of the largest providers in its industry, with over 5000 professionals providing services across the U.S. and Canada. For more information visit ;br>
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• Pay any fee to be considered for, submitted to, or selected for any opportunity.
• Purchase any product, service, or gift cards from us or for us as part of an application, interview, or selection process.
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Pay Range: $65- $70

The specific compensation for this position will be determined by several factors, including the scope, complexity, and location of the role, as well as the cost of labor in the market; the skills, education, training, credentials, and experience of the candidate; and other conditions of employment. Our full-time consultants have access to benefits, including medical, dental, vision, and 401K contributions, as well as PTO, sick leave, and other benefits mandated by applicable state or localities where you reside or work.

If you receive a suspicious message, email, or phone call claiming to be from PTR Global do not respond or click on any links. Instead, contact us directly at +1 . To report any concerns, please email us at

During the hiring process, we may use artificial intelligence (AI) tools to assist in evaluating information related to your application. These tools may help analyze job-related qualifications or assist recruiters in reviewing applications and interview responses. AI-generated information is one factor considered in our hiring process. Final employment decisions are made by qualified hiring personnel and are not based solely on AI-generated recommendations.

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