ManpowerGroup Global, Inc.
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!
#J-18808-Ljbffr
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!
#J-18808-Ljbffr