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Selenium With Python Jobs in Wisconsin (NOW HIRING)

Java Software emgineer

Green Bay, WI · On-site

$50.25 - $69/hr

Proficiency with Python data science libraries (Pandas, NumPy, Scikit-learn). * Experience with ... Selenium, Postman/Newman). * API Design & Management: Deep understanding of RESTful API design ...

Key Responsibilities • Collaborate with firmware engineers to understand test requirements and ... in Python 3 • Behave or similar framework experience • Selenium Web Driver Page Factory • ...

Selenium With Python information

See Wisconsin salary details

$23.2K

$141.3K

$204.4K

How much do selenium with python jobs pay per year?

As of Jul 14, 2026, the average yearly pay for selenium with python in Wisconsin is $141,280.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,500.00 and $166,000.00 per year, depending on experience, location, and employer.

What are some common challenges faced by Selenium with Python testers when automating complex web applications?

Testers using Selenium with Python often encounter challenges such as handling dynamic elements that change frequently, managing synchronization issues due to variable page load times, and dealing with browser compatibility. Additionally, they may need to create robust locators to interact with elements that lack unique identifiers. Collaborating with developers and QA teams to maintain test scripts as the application evolves is also essential for long-term test reliability.

What are the key skills and qualifications needed to thrive as a Selenium with Python Automation Engineer, and why are they important?

To thrive as a Selenium with Python Automation Engineer, you need strong programming skills in Python, a solid understanding of automated testing concepts, and experience with Selenium WebDriver. Familiarity with test frameworks like PyTest or unittest, version control systems such as Git, and CI/CD tools like Jenkins is typically required. Attention to detail, problem-solving, and effective communication are key soft skills that set high performers apart. These skills ensure reliable and maintainable automation solutions that improve software quality and streamline development processes.

What is the difference between Selenium With Python vs Selenium Test Automation Engineer?

AspectSelenium With PythonSelenium Test Automation Engineer
Primary FocusWriting automation scripts using Python for web testingDesigning, developing, and maintaining test automation frameworks
Required SkillsPython programming, Selenium WebDriver, basic testing conceptsPython or other scripting languages, Selenium, test frameworks, CI/CD tools
Work EnvironmentTest automation projects, scripting, debuggingTest planning, automation architecture, team collaboration
CertificationsOptional Python or Selenium certificationsISTQB, Certified Selenium Professional, or similar

While Selenium With Python focuses on scripting web tests using Python, Selenium Test Automation Engineers oversee the entire automation process, including framework development and strategy. Both roles require knowledge of Selenium, but the engineer role involves broader responsibilities and experience in test architecture.

What is Selenium with Python?

Selenium with Python refers to using the Selenium web automation framework in combination with the Python programming language. Selenium is a popular open-source tool used for automating web browsers, allowing users to write scripts that can perform tasks like testing web applications, scraping data, or automating repetitive browser actions. Python is favored for its simple syntax and powerful libraries, making it easy to write and maintain Selenium scripts. Together, they are widely used in software testing, quality assurance, and web scraping projects.
Infographic showing various Selenium With Python job openings in Wisconsin as of July 2026, with employment types broken down into 7% Locum Tenens, 1% Internship, 83% Full Time, 6% Part Time, 1% Temporary, and 2% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution, with an average salary of $141,280 per year, or $67.9 per hour.
Java Software emgineer

Java Software emgineer

Rivi Consulting Group

Green Bay, WI • On-site

$50.25 - $69/hr

Other

Posted 4 days ago


Job description

Java Software Engineer 
 Green Bay, WI (Onsite)
only on w2
 
Core Characteristics and Soft Skills:

Beyond technical proficiency, the right mindset and interpersonal skills are crucial for success on our team. We’d prioritize candidates who demonstrate:

  • Problem-Solving Acumen: The ability to analyze complex problems, break them down, evaluate different approaches, and implement robust, efficient solutions. This includes troubleshooting existing systems and designing new ones.
  • Independence and Initiative: We value engineers who can take ownership of tasks, research potential solutions independently, make informed decisions, and drive work forward with minimal supervision once objectives are clear.
  • Dependability and Accountability: Team members must be reliable, meet commitments, deliver high-quality work, and take responsibility for their contributions.
  • Strong Communication Skills: Clear, concise communication (both written and verbal) is essential. This includes explaining technical concepts to varied audiences, actively listening, providing constructive feedback, and documenting work effectively.
  • Collaboration and Teamwork: Ability to work effectively within a team structure, share knowledge, participate in code reviews, and contribute to a positive team dynamic.
  • Adaptability and Eagerness to Learn: The technology landscape and business needs evolve. We seek individuals who are curious, adaptable, and willing to learn new technologies and methodologies.

Core Technical Skillset:

Our current technology stack forms the foundation of our work. Proficiency or strong experience in the following areas is highly desirable:

  • Backend Development:
    • Java: Deep understanding of Java (latest LTS versions preferred).
    • Spring Boot: Extensive experience building applications and microservices using the Spring Boot framework and its ecosystem (e.g., Spring Data, Spring Security, Spring Cloud).
  • Messaging Systems:
    • Apache Kafka: Solid understanding of Kafka concepts (topics, producers, consumers, partitioning, brokers) and experience building event-driven systems.
  • Containerization & Orchestration:
    • Kubernetes: Practical experience deploying, managing, and troubleshooting applications on Kubernetes.
    • OCP (OpenShift Container Platform): Experience specifically with OpenShift is a significant advantage.
    • AKS (Azure Kubernetes Service): Experience with AKS is also highly relevant.
    • (General Docker knowledge is expected)
  • CI/CD & DevOps:
    • GitHub Actions: Proven experience in creating, managing, and optimizing CI/CD pipelines using GitHub Actions for build, test, and deployment automation.
    • Understanding of Git branching strategies and DevOps principles.
  • Frontend Development:
    • JavaScript: Strong proficiency in modern JavaScript (ES6+).
    • React: Experience building user interfaces with the React library and its common patterns/ecosystem (e.g., state management, hooks).
  • Database & Data Warehousing:
    • Oracle: Experience with Oracle databases, including writing efficient SQL queries, understanding data modeling, and potentially PL/SQL.
    • Snowflake: Experience with Snowflake cloud data warehouse, including data loading, querying (SQL), and understanding its architecture.
  • Scripting:
    • Python: Proficiency in Python for scripting, automation, data manipulation, or potentially backend API development (e.g., using Flask/Django, though Java/Spring is primary).

Domain Understanding (Transportation & Logistics):

While not strictly mandatory, candidates with experience or a demonstrated understanding of the transportation and logistics industry (e.g., supply chain management, freight operations, warehousing, fleet management, routing optimization, TMS systems) will be able to contribute more quickly and effectively. They can better grasp the business context and user needs.

 Additional Valuable Skills:

We are also interested in candidates who may possess skills in related areas that complement our core activities:

  • Data Science & Analytics:
    • Experience with data analysis techniques.
    • Knowledge of Machine Learning (ML) concepts and algorithms (particularly relevant for optimization, forecasting, anomaly detection in logistics).
    • Proficiency with Python data science libraries (Pandas, NumPy, Scikit-learn).
    • Experience with data visualization tools and techniques.
    • Understanding of optimization algorithms (linear programming, vehicle routing problem algorithms, etc.).
  • Cloud Platforms: Broader experience with cloud services (particularly Azure, but also AWS or Google Cloud Platform) beyond Kubernetes (e.g., managed databases, serverless functions, monitoring services).
  • Testing: Strong experience with automated testing practices and tools (e.g., JUnit, Mockito, Cypress, Selenium, Postman/Newman).
  • API Design & Management: Deep understanding of RESTful API design principles, API security (OAuth, JWT), and potentially experience with API gateways.
  • Monitoring & Observability: Experience with tools like Prometheus, Grafana, ELK Stack (Elasticsearch, Logstash, Kibana), Datadog, Dynatrace, etc., for monitoring application health and performance.
  • Security: Awareness and application of secure coding practices (e.g., OWASP Top 10).