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Python Mainframe Jobs (NOW HIRING)

Mainframe Automation System Programmer

Plano, TX · On-site

$53 - $67.50/hr

ClifyX is a company focused on automation solutions, and they are seeking a Mainframe Automation ... IBM z/OS, Automation tools, ITIL. • optional Python for z/OS Company : ClifyX provides innovative ...

Mainframe Utilities Developer

Phoenix, AZ · On-site +1

$48.75 - $62.50/hr

Mainframe z/OS and Horizon platforms, z/OS USS, z/OS Connect, Jenkins, Ansible, IDZ and/or Eclipse ... Python, Java, Javascript, SQL * zOS Connect, Utilities and Software: IBM, Broadcom, BMC * Knowledge ...

Mainframe Utilities Developer

Phoenix, AZ · On-site

$48.75 - $62.50/hr

Mainframe z/OS and Horizon platforms, z/OS USS, z/OS Connect, Jenkins, Ansible, IDZ and/or Eclipse ... Python, Java, Javascript, SQL * zOS Connect, Utilities and Software: IBM, Broadcom, BMC * Knowledge ...

Mainframe Solution Architect

Duluth, GA · On-site

$170K - $180K/yr

## Mainframe Solution ArchitectApplylocations: Georgiatime type: Full timeposted on: Posted 30+ Days ... Having skills with Python or Java is a plus.* Working knowledge of modern NoSQL databases, such as ...

Familiarity with mainframe-based automation and integration frameworks. Skills: * Python. * Automation Scripting. * Unix. * Linux. * Git. * Jenkins. * CI/CD. * ETL. * Data Integration. * Reporting ...

Mainframe Software Engineer

Plano, TX · On-site

$47 - $60.25/hr

This role is in the Mainframe DevOps value stream, as a software engineer for one of our flagship ... Python, Typescript, Docker, Kubernetes, Spring Boot, Jakarta, Oracle, Db2, MS SQL Server, ODBC ...

They are seeking a Senior Mainframe Automation Engineer to develop and implement automated ... Python • Experience with z/OS UNIX shell & OMVS commands • Experience with Ansible for Z ...

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Python Mainframe information

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How much do python mainframe jobs pay per hour?

As of Sep 11, 2026, the average hourly pay for python mainframe in the United States is $58.62, according to ZipRecruiter salary data. Most workers in this role earn between $48.32 and $66.59 per hour, depending on experience, location, and employer.

What is a Python mainframe developer?

A Python Mainframe developer is a professional who integrates Python programming with mainframe computer systems, often to modernize legacy applications or automate mainframe tasks. They use Python to interact with mainframe environments, such as IBM z/OS, leveraging APIs, frameworks, or middleware that bridge Python and mainframe technologies. Their work can involve scripting, data processing, and connecting mainframe databases to modern applications. The role is crucial in organizations transitioning from traditional mainframe operations to more flexible, scalable solutions using modern programming languages like Python.

What are the key skills and qualifications needed to thrive as a Python mainframe developer?

To thrive as a Python Mainframe Developer, you need a solid background in mainframe environments (such as z/OS), strong proficiency in Python, and experience with integration or modernization projects. Familiarity with tools like IBM DB2, JCL, and mainframe modernization frameworks, as well as knowledge of APIs and related certifications, are typically required. Strong analytical thinking, problem-solving, and effective communication skills help bridge legacy systems with modern technologies and foster collaboration. These competencies are crucial for efficiently updating mainframe applications, ensuring system reliability, and driving digital transformation.

How do Python mainframe professionals typically collaborate with legacy system teams during modernization projects?

Python Mainframe professionals often work closely with legacy system teams to bridge the gap between modern Python-based solutions and traditional mainframe applications. Collaboration usually involves joint code reviews, data mapping sessions, and regular meetings to ensure seamless integration and minimal disruption to business operations. Effective communication skills are essential, as you will need to translate requirements and technical constraints between teams with different expertise. This collaborative environment not only enhances problem-solving but also provides valuable learning opportunities for all parties involved.

What is the difference between Python Mainframe vs Mainframe Developer?

AspectPython MainframeMainframe Developer
Required CredentialsPython certification, mainframe knowledgeMainframe certifications (e.g., IBM)
Work EnvironmentHybrid of mainframe and Python programmingPrimarily mainframe systems, legacy environment
Industry UsageFinancial, insurance, tech sectors integrating PythonBanking, government, large enterprises
Common Search/ComparisonYesYes

Python Mainframe professionals combine Python programming skills with mainframe system knowledge, often working in environments transitioning from legacy systems to modern solutions. Mainframe Developers focus primarily on maintaining and developing mainframe applications, typically in legacy environments. While both roles may overlap in industries like banking and finance, Python Mainframe roles emphasize integration of modern programming with mainframe systems.

What other helpful pages are available for Python Mainframe?

Other pages related to Python Mainframe:

Infographic showing various Python Mainframe job openings in the United States as of September 2026, with employment types broken down into 3% Internship, 89% Full Time, 4% Part Time, and 4% Contract. Highlights an 75% Physical, 5% Hybrid, and 20% Remote job distribution, with an average salary of $121,932 per year, or $58.6 per hour.

Need Local | Mainframe Developer| Berkeley Heights, NJ-Onsite

Berkeley Heights, NJ • On-site

$51.25 - $65.75/hr

Other

Posted 29 days ago


Job description

Job Title: Mainframe Developer

Location: Berkeley Heights, NJ-Onsite

Job Type: Long term Contract

Roles and Responsibilities

  • Design, develop, maintain, and support IBM Mainframe applications using COBOL, JCL, CICS, DB2, VSAM, and related technologies.

  • Analyze existing mainframe applications and identify modernization opportunities using AI/GenAI solutions.

  • Develop AI-powered tools and automation solutions for code analysis, documentation generation, testing, and application modernization.

  • Integrate mainframe systems with cloud platforms, APIs, and AI/ML services.

  • Collaborate with business stakeholders, architects, and development teams to define technical solutions and modernization strategies.

  • Perform impact analysis, code reviews, debugging, and performance tuning of mainframe applications.

  • Develop and maintain technical documentation, process flows, and system specifications.

  • Support application migration, refactoring, and transformation initiatives.

  • Implement security, compliance, and governance standards across mainframe and AI solutions.

  • Participate in Agile development processes, sprint planning, and technical design discussions.

  • Evaluate emerging AI/GenAI technologies and recommend innovative use cases for mainframe environments.

Required Skills:-

  • Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.

  • 10+ years of hands-on experience in IBM Mainframe development.

  • Strong experience with COBOL, JCL, CICS, DB2, VSAM, IMS, and TSO/ISPF.

  • Experience with software development lifecycle (SDLC) and Agile methodologies.

  • Knowledge of REST APIs, microservices, and system integration concepts.

  • Understanding of AI/ML fundamentals and Generative AI technologies.

  • Experience working with Large Language Models (LLMs) and AI-assisted development tools.

  • Strong analytical, problem-solving, and communication skills.

Preferred Skills:-

  • Experience with IBM Watsonx, OpenAI, Azure OpenAI, or similar AI platforms.

  • Exposure to mainframe modernization programs and cloud migration initiatives.

  • Experience with Python, Java, or other modern programming languages.

  • Familiarity with DevOps, CI/CD pipelines, Git, Jenkins, and automation tools.

  • Knowledge of prompt engineering, retrieval-augmented generation (RAG), and AI governance.

  • Experience integrating AI solutions with enterprise applications and legacy systems.