ZipRecruiter

Log In

1

Pytest Jobs in Chicago, IL (NOW HIRING)

Interactive Brokers

Test Automation Engineer

Chicago, IL · On-site

$140K - $160K/yr

Strong experience with unit testing frameworks (pytest, unittest, etc.) * Strong communication skills with meticulous attention to detail * Experience with version control systems (git) Experience ...

McDonald's

Manager, Technology Testing

Chicago, IL · On-site

Expertise in test automation using Java, Python, PyTest, JUnit, TestNG, Selenium, REST Assured, or similar frameworks.Experience building automated testing frameworks for API, integration, regression ...

Auria

Software Developer - Intermediate

Chicago, IL · On-site

$108 - $140/hr

Proficient in backend testing methodologies and frameworks (e.g., JUnit, PyTest, Google Test). * Experience with Scrum Master functions, facilitating team collaboration, managing sprint activities ...

previous pagenext page

Showing results 21-40

All JobsPytest JobsPytest Jobs in Chicago, IL

Pytest information

See Chicago, IL salary details

$5

$34

$64

How much do pytest jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for pytest in Chicago, IL is $34.86, according to ZipRecruiter salary data. Most workers in this role earn between $22.55 and $46.30 per hour, depending on experience, location, and employer.

What is Pytest?

Pytest is a popular testing framework for Python that allows developers to write simple as well as scalable test cases. It is widely used for unit testing, functional testing, and integration testing in Python projects. Pytest makes it easy to write small tests, yet it scales to support complex functional testing for applications and libraries. Its rich plugin architecture and simple syntax make it a preferred choice for many Python developers.

What are the key skills and qualifications needed to thrive as a Pytest automation engineer?

To excel as a Pytest Automation Engineer, you need strong programming skills in Python, a solid understanding of software testing principles, and experience with test automation frameworks. Familiarity with Pytest, continuous integration tools (like Jenkins), and version control systems (such as Git) is typically required, along with relevant certifications in software testing or Python development. Attention to detail, analytical thinking, and effective communication help you identify issues quickly and collaborate across development teams. These abilities are crucial for ensuring software quality, speeding up release cycles, and maintaining robust, scalable test systems.

How does a Pytest automation engineer typically collaborate with developers and QA teams during a software release cycle?

As a Pytest automation engineer, you will often work closely with both developers and QA professionals throughout the software release cycle. You’ll be responsible for creating and maintaining test suites using Pytest, reviewing code changes, and ensuring that automated tests cover new features or bug fixes. Regular communication is essential, as you’ll need to report test results, discuss defects, and coordinate on test coverage or continuous integration setup. This collaborative approach helps maintain high code quality and smooth releases.

What is the difference between Pytest vs Selenium Tester?

AspectPytestSelenium Tester
Primary FocusAutomated testing framework for Python codeWeb application testing using browser automation
Required SkillsPython programming, testing frameworksWeb technologies, Selenium WebDriver, scripting
Work EnvironmentSoftware development, QA teams, CI/CD pipelinesWeb testing, QA teams, browser environments
Common CertificationsPython certifications, testing certificationsSelenium certifications, QA certifications

Pytest is a Python testing framework used primarily for unit and integration testing of Python applications. Selenium Tester specializes in automating web browsers to test web applications. While both roles involve testing, Pytest focuses on code-level testing within Python projects, whereas Selenium Testers focus on browser-based testing of web interfaces. Understanding these differences helps teams assign the right tools and skills for their testing needs.

What are popular job titles related to Pytest jobs in Chicago, IL?

For Pytest jobs in Chicago, IL, the most frequently searched job titles are:

What job categories do people searching Pytest jobs in Chicago, IL look for?

The top searched job categories for Pytest jobs in Chicago, IL are:

What cities near Chicago, IL are hiring for Pytest jobs?

Cities near Chicago, IL with the most Pytest job openings:

Pytest jobs near you

Full Stack Python Developer

Column Technical Services

Chicago, IL • On-site

Full-time

Re-posted 18 days ago

Key responsibilities

  • Design, build, and support scalable backend systems and APIs, including AI-driven workflow systems and large language model integrations.

  • Develop agent capabilities, supporting tools, and safeguards to ensure system reliability and performance.

  • Create and maintain automated testing suites, diagnose technical issues, and ensure solutions adhere to enterprise architecture standards.

Job description

Column Technical Services is seeking a seasoned Full Stack Python Developer with strong experience in FastAPI to join a high-performing agile team. This individual will design, build, and support scalable backend systems and APIs, while also contributing to broader full-stack initiatives that address complex business needs. Success in this role requires strong proficiency in Python, modern frameworks, database systems, and established engineering practices. If this opportunity aligns with your experience and interests, we encourage you to apply and begin the conversation with us.

This position does not provide sponsorship. Candidates must currently reside in the Chicagoland area.

Role Overview
This position is suited for a systems-minded professional who thrives in fast-moving environments and naturally leverages AI as a primary tool rather than a fallback. You will operate at the intersection of product and engineering, continuously experimenting and helping to deliver AI-driven solutions that perform effectively in real-world scenarios.
Your day-to-day work may range from implementing large language model integrations to reimagining how workflows function from the ground up. Frequent context shifts are part of the role?and are expected to energize, not disrupt, your productivity.

Key Responsibilities
  • Design and continuously refine AI-driven workflow systems using modern agent-based frameworks
  • Develop agent capabilities, supporting tools, and safeguards to ensure system reliability and predictability
  • Integrate and optimize large language model APIs (e.g., OpenAI, Anthropic) for performance and efficiency
  • Create evaluation frameworks to assess output quality and detect regressions early
  • Quickly prototype and validate new concepts through hands-on experimentation
  • Remain actively informed on advancements in AI and share relevant findings with the team
  • Partner with product managers and stakeholders to clarify requirements and translate them into technical solutions
  • Execute proof-of-concept initiatives to validate ideas and reduce implementation risk
  • Write high-quality, maintainable, and well-tested code aligned with defined acceptance criteria and compliance needs
  • Architect scalable components across data, application, and business layers
  • Diagnose and resolve technical issues throughout development and integration
  • Develop and maintain automated testing suites, including unit, integration, regression, and performance tests
  • Ensure solutions adhere to enterprise architecture standards across the development lifecycle

Required Skills & Qualifications
  • 2+ years of experience with cloud platforms such as Azure (or equivalent)
  • 2+ years working with open-source frameworks, including FastAPI and FastLLM
  • 2+ years of hands-on experience with Agile delivery practices
  • Highly adaptable with a genuine interest in staying current in a rapidly evolving AI landscape
  • Action-oriented mindset, with a preference for testing and iterating rather than over-planning
  • Strong familiarity with AI tools and a forward-thinking approach to their application
  • Ability to quickly learn new technologies and frameworks independently
  • Demonstrated experience building and deploying high-scale, distributed transactional systems
  • Strong proficiency in Python and FastAPI (or similar asynchronous frameworks)
  • Practical experience working with relational databases, such as Microsoft SQL Server
  • Exposure to large language model integrations (OpenAI, Anthropic, etc.)
  • Understanding of RESTful API design and backend development fundamentals
  • Experience with Git and collaborative version control workflows
  • Familiarity with testing frameworks like pytest or unittest
  • Experience working within Agile methodologies (Scrum or Kanban) and understanding of SDLC processes
  • Solid grasp of database design, querying, and data access patterns
  • Experience developing applications using modular, component-based frameworks
  • Strong communication skills, with the ability to collaborate across technical and non-technical audiences
  • Commitment to modern development practices for enterprise application delivery
  • Experience supporting production releases, including deployments, patches, and enhancements
  • Ability to troubleshoot production issues and improve system performance and reliability