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Kubernetes Platform Engineer Jobs in Michigan (NOW HIRING)

Nastech Global

Developer

Detroit, MI · On-site

Detroit, MI/Charlotte, NC/Remote Job Type: Full time Datastage Platform Engineer Must Have ... Kubernetes), and infrastructure automation (e.g., Terraform). - Knowledge of data security ...

Stefanini

Cloud Engineer

Dearborn, MI · On-site

$51.25 - $68.50/hr

The ideal candidate will have strong expertise in Kubernetes, multi-cloud environments (AWS/Google Cloud Platform), Infrastructure as Code, automation, and platform engineering, with a focus on ...

OneStream Software

Cloud DevOps Engineer

Birmingham, MI · On-site

$50.25 - $69/hr

... Engineer Location : Remote, United States Employment Type : Full-Time Benefits Offered : Vision ... Knowledge of container orchestration platforms such as Kubernetes, OpenShift, AKS, GKE * Microsoft ...

OneStream Software

Cloud DevOps Engineer

Rochester, MI · On-site

$48.50 - $66.50/hr

... Engineer Location : Remote, United States Employment Type : Full-Time Benefits Offered : Vision ... Knowledge of container orchestration platforms such as Kubernetes, OpenShift, AKS, GKE * Microsoft ...

2Bridge Partners

Staff Software Engineer

Detroit, MI · On-site +1

$170K - $200K/yr

... platform. * Implement containerization and orchestration solutions using Docker, Kubernetes, and ... Contribute to architectural decisions and promote engineering excellence. * Participate in code ...

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Developer

Nastech Global

Detroit, MI • On-site

Full-time

Re-posted 6 days ago

Job description

Job Title: Developer

Location: Detroit, MI/Charlotte, NC/Remote

Job Type: Full time 

Job Description

Datastage Platform Engineer
 
Must Have Technical/Functional Skills
- 3-5 years of experience in DataStage, including designing, developing, and optimizing ETL workflows.
- Strong experience with Cloud Pak for Data (IBM) and cloud-based platforms such as AWS, Azure, or Google Cloud.
- Proven experience in platform and infrastructure engineering, particularly in cloud environments.
- Expertise in Data Engineering and ETL processes with a strong background in database technologies (SQL, NoSQL).
- Proficiency in programming languages such as Python, Java, or Shell scripting for data operations.
- Familiarity with DevOps practices, tools (e.g., Jenkins, Docker, Kubernetes), and infrastructure automation (e.g., Terraform).
- Knowledge of data security, governance, and compliance best practices.
- Strong troubleshooting, problem-solving, and analytical skills.
- Excellent communication and collaboration skills, with the ability to work effectively with cross-functional teams.
 
Roles & Responsibilities:
- Design, develop, and optimize DataStage ETL workflows for large-scale data processing tasks.
- Collaborate with Cloud Pak services to architect and deploy data solutions, ensuring scalability, security, and high availability.
- Participate in the cloud infrastructure management for data pipelines using various cloud services, ensuring efficiency and cost optimization.
- Provide expertise in data engineering best practices for integrating and managing data on hybrid cloud platforms (e.g., IBM Cloud Pak for Data).
- Build and support data platforms by integrating tools and technologies across the data engineering stack.
- Design and implement DevOps pipelines for automation of data operations in cloud environments.
- Ensure data governance, security, and compliance standards are maintained throughout the engineering lifecycle.
- Troubleshoot, diagnose, and resolve any issues with data processing pipelines or infrastructure components.
- Collaborate with cross-functional teams, including data scientists, architects, and business stakeholders, to optimize data solutions.