1

Ibm Cloud Jobs (NOW HIRING)

Netcool AIOps Engineer (Cloud Pak)

Irving, TX · On-site

$51.75 - $69.25/hr

The role involves integrating traditional IBM Netcool Operations Insight systems with the AI-powered capabilities of the IBM Cloud Pak for AIOps platform, focusing on automating IT operations and ...

Security Architect ( Cloud )

Raleigh, NC

$63.75 - $84.50/hr

Work with IBM Cloud PaaS Offering Management on defining security roadmap * Engage with clients as sponsor users to implement new security capabilities * Architect technical security requirements for ...

Security Architect ( Cloud )

Austin, TX

$65 - $86.25/hr

Work with IBM Cloud PaaS Offering Management on defining security roadmap * Engage with clients as sponsor users to implement new security capabilities * Architect technical security requirements for ...

You'll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and Red Hat, you'll have ...

You'll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and Red Hat, you'll have ...

Showing results 41-60

Ibm Cloud information

See salary details

$10

$61

$84

How much do ibm cloud jobs pay per hour?

As of Aug 28, 2026, the average hourly pay for ibm cloud in the United States is $61.71, according to ZipRecruiter salary data. Most workers in this role earn between $54.09 and $74.04 per hour, depending on experience, location, and employer.

What is IBM Cloud?

IBM Cloud is a suite of cloud computing services offered by IBM that includes infrastructure as a service (IaaS), platform as a service (PaaS), and software as a service (SaaS) solutions. It provides a range of tools for building, running, and managing applications on the cloud, supporting both public and private cloud environments. IBM Cloud is known for its security features, integration with AI and machine learning tools like Watson, and support for hybrid cloud deployments. It is used by businesses of all sizes to enhance scalability, flexibility, and efficiency.

What are the key skills and qualifications needed to thrive as an IBM Cloud engineer?

To thrive as an IBM Cloud Engineer, you need a solid understanding of cloud computing concepts, networking, security, and hands-on experience with IBM Cloud services, typically supported by a degree in computer science or a related field. Familiarity with tools like IBM Cloud CLI, Kubernetes, Docker, and relevant IBM certifications such as IBM Certified Solution Architect – Cloud are commonly required. Strong problem-solving skills, teamwork, and effective communication help you excel in cross-functional and client-facing environments. These skills ensure the successful design, deployment, and management of scalable, secure cloud solutions tailored to business needs.

What are some common challenges faced by professionals working with IBM Cloud solutions, and how can they be addressed?

Professionals working with IBM Cloud often encounter challenges such as integrating cloud services with legacy systems, ensuring data security and compliance, and managing multi-cloud environments. Addressing these challenges typically involves collaborating closely with cross-functional teams, staying updated on IBM Cloud's evolving tools and best practices, and leveraging IBM's support resources and documentation. Proactively participating in training and certification programs can also help professionals stay ahead of technology changes and enhance their effectiveness in the role.

What is the difference between Ibm Cloud vs Cloud Engineer?

AspectIbm CloudCloud Engineer
CertificationsIBM Cloud certifications, Cloud certifications (AWS, Azure, GCP)Cloud certifications (AWS, Azure, GCP), sometimes vendor-specific
Work EnvironmentCloud platforms, data centers, hybrid environmentsDesigning, deploying, managing cloud solutions
Industry UsageUsed by organizations adopting IBM cloud servicesUsed across various industries for cloud infrastructure and solutions

IBM Cloud professionals focus on managing IBM's cloud services and infrastructure, while Cloud Engineers design and implement cloud solutions across multiple platforms. Both roles require cloud certifications and involve working in cloud environments, but their daily tasks and focus areas differ.

More about Ibm Cloud jobs

What cities are hiring for Ibm Cloud jobs?

Cities with the most Ibm Cloud job openings:

What states have the most Ibm Cloud jobs?

States with the most job openings for Ibm Cloud jobs include:

What job categories do people searching Ibm Cloud jobs look for?

The top searched job categories for Ibm Cloud jobs are:

Infographic showing various Ibm Cloud job openings in the United States as of August 2026, with employment types broken down into 91% Full Time, 2% Part Time, and 7% Contract. Highlights an 76% Physical, 8% Hybrid, and 16% Remote job distribution, with an average salary of $128,365 per year, or $61.7 per hour.

IBM DataStage ETL Developer (CP4D)

Bremerton, WA

Long Finch Technologies
IT Services • 51 - 200 employees

$54.75 - $71.50/hr

Full-time

Posted 14 days ago


Job description

We are looking for an experienced ETL Developer with strong hands-on expertise in IBM DataStage and IBM Cloud Pak for Data (CP4D) to design, develop, optimize, and support enterprise-scale data integration solutions. The ideal candidate will have extensive experience in ETL development, data warehousing, data transformation, performance tuning, and modernization initiatives involving migration from legacy DataStage platforms to cloud-based data environments.

Key Responsibilities
  • Design, develop, test, and deploy ETL and data integration solutions using IBM DataStage (11.x and above).
  • Develop scalable data pipelines supporting batch and near real-time data processing.
  • Perform migration and modernization activities from traditional DataStage environments to IBM Cloud Pak for Data (CP4D).
  • Build reusable ETL frameworks, shared containers, parameter sets, and automation components.
  • Develop complex data transformations including data mapping, cleansing, enrichment, and validation.
  • Optimize ETL workflows, database operations, and data processing performance.
  • Troubleshoot production issues, perform root cause analysis, and implement long-term solutions.
  • Create technical design documents, source-to-target mappings, and operational support documentation.
  • Ensure adherence to enterprise data quality, governance, security, and compliance standards.
  • Participate in Agile ceremonies including sprint planning, daily stand-ups, sprint reviews, and retrospectives.
  • Collaborate with technical and business teams to understand requirements and deliver effective data solutions.
Required Experience/Technical Skills
  • 5+ years of experience in ETL development and data integration.
  • Strong hands-on experience with IBM DataStage and enterprise data warehouse environments.
  • Experience working in Agile delivery teams with strong collaboration and communication skills.
  • Strong expertise in IBM DataStage (11.x and above).
  • Hands-on experience with IBM Cloud Pak for Data (CP4D).
  • Strong experience in ETL design and development.
  • Good understanding of data warehousing concepts and architecture.
  • Advanced SQL development skills.
  • Experience with data modeling concepts.
  • Experience in data migration and ETL modernization projects.
  • Strong knowledge of ETL performance tuning and optimization techniques.
  • Hands-on experience with Unix/Linux shell scripting.
Preferred Skills
  • Experience migrating ETL workloads from IBM DataStage to IBM Cloud Pak for Data.
  • Exposure to cloud-native data platforms and enterprise modernization initiatives.
  • Experience with scheduling tools such as Autosys, Control-M, or similar enterprise schedulers.
  • Understanding of data governance, metadata management, and data lineage concepts.
  • Knowledge of DevOps practices and automated deployment pipelines for ETL applications.
  • Experience working with large-scale enterprise data platforms and high-volume data processing environments.
  • Banking and Financial Services domain experience is preferred.