Job Description

Our client, a leading organization in cloud infrastructure and data platform migration, is seeking a QA Engineer to join their team.

As a QA Engineer, you will be part of the Infrastructure and Data Migration Support team supporting cloud migration projects. The ideal candidate will have strong analytical skills, excellent collaboration abilities, and a proactive mindset, which will align successfully in the organization.

Job Title: QA Engineer

Location: Denver, Colorado

Pay Range: $64-68/hour 

*** No 3rd Parties/Corp-to-Corp Allowed **

What's the Job?

• Design and execute comprehensive test plans to ensure seamless migration of infrastructure and data pipelines across cloud providers.
• Develop and perform validation tests for distributed streaming platforms such as Kafka and Spark Streaming, ensuring data accuracy and integrity.
• Conduct performance, load, stress, and failover testing to simulate high-volume data conditions in cloud and containerized environments.
• Implement and maintain automated end-to-end and integration tests using Python and Go, leveraging Docker, Kubernetes, and Terraform for infrastructure validation.
• Collaborate with DevOps teams to integrate monitoring tools, troubleshoot issues, and ensure system reliability during migration processes.

What's Needed?

• At least 3 years of experience working with cloud platforms such as GCP, Azure, or AWS, and modern pipelining technologies.
• Hands-on expertise with streaming technologies like Kafka, Spark Streaming, and understanding of data streaming concepts.
• Proficiency with Infrastructure as Code (IaC) tools such as Terraform, Open Tofu, or Liquibase.
• Experience with containerization and orchestration tools including Docker and Kubernetes.
• Strong programming and scripting skills in Python and Go, with experience working in Linux environments.

What's in it for me?

• Opportunity to work on high-impact cloud migration projects involving industry-leading streaming and data analytics technologies.
• Collaborative environment that fosters innovation and technical excellence.
• Engagement with cutting-edge tools and methodologies in cloud infrastructure and data validation.
• Chance to develop your skills in big data, automation, and system testing at scale.
• Supportive team culture that values diversity, inclusion, and continuous learning.

Upon completion of waiting period consultants are eligible for:

• Medical and Prescription Drug Plans
• Dental Plan
• Vision Plan
• Health Savings Account
• Health Flexible Spending Account
• Dependent Care Flexible Spending Account
• Supplemental Life Insurance
• Short Term and Long Term Disability Insurance
• Business Travel Insurance
• 401(k), Plus Match
• Weekly Pay

If this is a role that interests you and you'd like to learn more, click apply now and a recruiter will be in touch with you to discuss this great opportunity. We look forward to speaking with you!

About ManpowerGroup, Parent Company of: Manpower, Experis, Talent Solutions, and Jefferson Wells.

ManpowerGroup® (NYSE: MAN), the leading global workforce solutions company, helps organizations transform in a fast-changing world of work by sourcing, assessing, developing, and managing the talent that enables them to win. We develop innovative solutions for hundreds of thousands of organizations every year, providing them with skilled talent while finding meaningful, sustainable employment for millions of people across a wide range of industries and skills. Our expert family of brands – Manpower, Experis, Talent Solutions, and Jefferson Wells –creates substantial value for candidates and clients across more than 75 countries and territories and has done so for over 70 years. We are recognized consistently for our diversity - as a best place to work for Women, Inclusion, Equality and Disability and in 2023 ManpowerGroup was named one of the World's Most Ethical Companies for the 14th year - all confirming our position as the brand of choice for in-demand talent.

Job Tags

Weekly pay, Contract work, Temporary work, Flexible hours,

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