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$21.5K

$130.8K

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How much do python tester jobs pay per year?

As of Jul 12, 2026, the average yearly pay for python tester in Columbus, OH is $130,781.00, according to ZipRecruiter salary data. Most workers in this role earn between $103,200.00 and $153,700.00 per year, depending on experience, location, and employer.

What are the typical daily responsibilities of a Python Tester?

A Python Tester is usually responsible for designing, developing, and executing automated test scripts to ensure the functionality and quality of software applications. Their day-to-day tasks often include writing new test cases, debugging and maintaining existing scripts, analyzing test results, and reporting defects to the development team. They also collaborate closely with software developers, QA analysts, and project managers to ensure timely detection and resolution of issues. Additionally, Python Testers may participate in code reviews and contribute to continuous integration processes to streamline software releases.

What are the key skills and qualifications needed to thrive in the Python Tester position, and why are they important?

To thrive as a Python Tester, you need a strong background in Python programming, automated testing frameworks, and software QA methodologies, often supported by a degree in computer science or related fields. Familiarity with tools like pytest, Selenium, Jenkins, and knowledge of version control systems such as Git is typically required, and certifications in software testing (e.g., ISTQB) can be advantageous. Attention to detail, analytical thinking, and effective communication are important soft skills for identifying and reporting bugs while collaborating with developers and QA teams. These competencies are essential to ensure software reliability, efficiency, and successful cross-functional teamwork.

What is a Python Tester job?

A Python Tester is responsible for testing software applications written in Python to ensure they function correctly, efficiently, and securely. They write and execute test cases, identify bugs, and collaborate with developers to fix issues. Python Testers commonly use testing frameworks like PyTest, UnitTest, or Nose, along with automation tools like Selenium for web applications. Their role is crucial in maintaining software quality and reliability.

What are popular job titles related to Python Tester jobs in Columbus, OH? For Python Tester jobs in Columbus, OH, the most frequently searched job titles are:
What job categories do people searching Python Tester jobs in Columbus, OH look for? The top searched job categories for Python Tester jobs in Columbus, OH are:
Python Tester jobs near you
Infographic showing various Python Tester job openings in Columbus, OH as of July 2026, with employment types broken down into 50% Internship, 25% Full Time, and 25% Contract. Highlights an 100% In-person job distribution, with an average salary of $130,781 per year, or $62.9 per hour.

Lead Software Engineer - Cloud Platform Engineering- AWS, Python

JPMorganChase

Columbus, OH • On-site

Full-time

Posted 12 days ago

Job description

Job Summary:
JPMorgan Chase is a leading financial services firm, helping nearly half of America's households and small businesses achieve their financial goals. As a Lead Software Engineer, you will architect, design, and deliver robust technology solutions while driving critical initiatives and fostering innovation within the agile engineering team.
Responsibilities:
• Lead the design, development, and implementation of scalable platform solutions, leveraging advanced troubleshooting skills and innovative approaches to address complex infrastructure and integration challenges.
• Develop and maintain high-quality, secure production code and automation scripts, ensuring seamless integration and reliability across enterprise platforms and infrastructure.
• Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.
• Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.
• Produce comprehensive architecture and design documentation for complex applications, ensuring all design constraints and best practices are adhered to throughout the software development lifecycle.
• Gather, analyze, and synthesize large, diverse data sets to develop actionable visualizations and reporting, driving continuous improvement of software applications and system performance.
• Proactively uncover hidden issues and patterns within data, leveraging insights to enhance coding standards, system architecture, and overall application resiliency.
• Contribute to internal software engineering communities of practice, actively participating in events and initiatives that explore emerging technologies and industry trends.
• Champion a team culture rooted in diversity, inclusion, respect, and opportunity, mentoring junior engineers and fostering a collaborative environment.
Qualifications:
Required:
• Formal training or certification on software engineering concepts and 5+ years applied experience (NAMR/APAC – India/ LATAM/ Hong Kong)
• Formal training or certification on software engineering concepts and advanced applied experience (EMEA/LATAM-Brazil)
• Singapore follow local country guidance
• Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security.
• Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices
• Advanced proficiency in Python and/or Java, with demonstrated expertise in developing, debugging, and maintaining code using modern programming and database querying languages.
• Extensive experience with SQL and NoSQL databases, data lakes, and AWS S3, including the design and implementation of scalable data storage architectures.
• Proven track record in deploying and managing applications using AWS services such as EMR, EKS/ECS, EC2, Event Bus, and S3.
• Deep familiarity with enterprise logging and monitoring platforms, including Splunk, Elastic Search, Dynatrace, AppDynamics, Grafana, CloudWatch, and Datadog.
• Strong experience with Continuous Integration and Continuous Deployment processes, utilizing tools such as Jenkins and Spinnaker to automate and streamline software delivery pipelines.
• Comprehensive understanding of the full software development lifecycle, agile methodologies, application resiliency, and security best practices.
• Demonstrated expertise in software applications and technical processes within disciplines such as cloud computing, artificial intelligence, machine learning, and mobile technologies.
Company:
With a history tracing its roots to 1799 in New York City, JPMorganChase is one of the world's oldest, largest, and best-known financial institutions—carrying forth the innovative spirit of our heritage firms in global operations across 100 markets. Founded in 2000, the company is headquartered in New York, USA, with a team of 10001+ employees. The company is currently Late Stage.

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