Automation Engineer
Tampa, FL · Hybrid
Qualifications Required * 4+ years of experience with Python development including building clean, efficient, and maintainable automation and testing solutions using tools such as PyTest, Robot ...
Automation Engineer
Tampa, FL · Hybrid
Qualifications Required * 4+ years of experience with Python development including building clean, efficient, and maintainable automation and testing solutions using tools such as PyTest, Robot ...
Architecture and integration of modular test harnesses, such as JUnit, PyTest, or Google Test. * Real-Time & Embedded Systems: Hardware-in-the-Loop (HITL) Integration of test automation with hardware ...
Architecture and integration of modular test harnesses, such as JUnit, PyTest, or Google Test. * Real-Time & Embedded Systems: Hardware-in-the-Loop (HITL) Integration of test automation with hardware ...
Experience with automated test frameworks such as PyTest (or similar), plus test reporting and dashboarding * Familiarity with ADAS feature behavior and sensing technology (camera, radar, ultrasonic ...
Experience with automated test frameworks such as PyTest (or similar), plus test reporting and dashboarding * Familiarity with ADAS feature behavior and sensing technology (camera, radar, ultrasonic ...
Experience with automated test frameworks such as PyTest (or similar), plus test reporting and dashboarding * Familiarity with ADAS feature behavior and sensing technology (camera, radar, ultrasonic ...
Experience with automated test frameworks such as PyTest (or similar), plus test reporting and dashboarding * Familiarity with ADAS feature behavior and sensing technology (camera, radar, ultrasonic ...
Pytest information
What is Pytest and what is it used for?
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, and why are they important?
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?
| Aspect | Pytest | Selenium Tester |
|---|---|---|
| Primary Focus | Automated testing framework for Python code | Web application testing using browser automation |
| Required Skills | Python programming, testing frameworks | Web technologies, Selenium WebDriver, scripting |
| Work Environment | Software development, QA teams, CI/CD pipelines | Web testing, QA teams, browser environments |
| Common Certifications | Python certifications, testing certifications | Selenium 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 Florida? For Pytest jobs in Florida, the most frequently searched job titles are:
What job categories do people searching Pytest jobs in Florida look for? The top searched job categories for Pytest jobs in Florida are:
What cities in Florida are hiring for Pytest jobs? Cities in Florida with the most Pytest job openings:
Deloitte rating
8.1
Based on 86 frontline employees who took The Breakroom Quiz
58th of 138 rated financial services
Job description
Are you an experienced, passionate pioneer in technology who wants to work in a collaborative environment? As an experienced Automation Engineer, you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. The Project Delivery Talent Model is designed for professionals with specialized skills that align to a current client need. Team members focus on delivering services to clients, without additional expectations related to business development or promotion. Their employment is tied to their role on a project, and they are eligible for a benefits package that is competitive for project delivery-focused professionals.
Recruiting for this role ends on June 24th, 2026
Work you'll do/Responsibilities
- Design, build, and maintain scalable Python-based automation frameworks and scripts from the ground up to support healthcare claims processing operations.
- Develop automation solutions that integrate with both Java-based distributed applications, including APIs and microservices, and legacy Mainframe environments through tools such as 3270 emulators and batch processing.
- Create automated tests and operational workflows for complex claims processes, helping ensure accuracy in adjudication, payment integrity, and compliance.
- Embed test automation into sprint execution by partnering with delivery teams to support in-sprint validation and CI/CD pipeline readiness.
- Evaluate, select, and implement Python libraries, testing tools, and supporting frameworks to expand coverage and reduce manual effort.
- Bridge technical gaps across modern and legacy systems by troubleshooting issues, resolving automation bottlenecks, and improving end-to-end workflow reliability.
- Collaborate closely with Java developers, Mainframe engineers, product managers, and project leaders to align automation strategy with business and delivery priorities.
- Document automation architecture, processes, and operating procedures, while mentoring junior engineers and manual testers transitioning to automated methods.
The Team
Our AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.
Engineering as a Service provides complete design, implementation, and technology operations, leveraging our core engineering expertise. We transform engineering teams, modernize technology, and deliver complex programs with a product engineering approach. Our flexible delivery models-traditional teams, pools, or pods-are tailored to each client's needs, offering engineering-led advisory, implementation, and operational capabilities to accelerate innovation.
Qualifications
Required
- 4+ years of experience with Python development including building clean, efficient, and maintainable automation and testing solutions using tools such as PyTest, Robot Framework, and Selenium.
- Experience automating interactions with Java-based distributed systems, including RESTful APIs, Spring Boot microservices, and messaging platforms such as Kafka and RabbitMQ.
- Experience with Mainframe environments, including use of terminal emulators such as Py3270 and handling of flat files and EBCDIC file formats.
- Experience supporting CI/CD pipelines and version control practices using tools such as Jenkins, GitLab CI, and Git, with success delivering automation in Agile environments.
- Working knowledge of healthcare claims processing workflows, payment integrity concepts, and compliance considerations such as HIPAA.
- Bachelor's degree, preferably in Computer Science, Information Technology, Computer Engineering, or related IT discipline; or equivalent experience
- Limited immigration sponsorship may be available
- Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $74,900.00 to $147,600.00.
Are you an experienced, passionate pioneer in technology who wants to work in a collaborative environment? As an experienced Automation Engineer, you will have the ability to share new ideas and collaborate on projects as a consultant without the extensive demands of travel. The Project Delivery Talent Model is designed for professionals with specialized skills that align to a current client need. Team members focus on delivering services to clients, without additional expectations related to business development or promotion. Their employment is tied to their role on a project, and they are eligible for a benefits package that is competitive for project delivery-focused professionals.
Recruiting for this role ends on June 24th, 2026
Work you'll do/Responsibilities
- Design, build, and maintain scalable Python-based automation frameworks and scripts from the ground up to support healthcare claims processing operations.
- Develop automation solutions that integrate with both Java-based distributed applications, including APIs and microservices, and legacy Mainframe environments through tools such as 3270 emulators and batch processing.
- Create automated tests and operational workflows for complex claims processes, helping ensure accuracy in adjudication, payment integrity, and compliance.
- Embed test automation into sprint execution by partnering with delivery teams to support in-sprint validation and CI/CD pipeline readiness.
- Evaluate, select, and implement Python libraries, testing tools, and supporting frameworks to expand coverage and reduce manual effort.
- Bridge technical gaps across modern and legacy systems by troubleshooting issues, resolving automation bottlenecks, and improving end-to-end workflow reliability.
- Collaborate closely with Java developers, Mainframe engineers, product managers, and project leaders to align automation strategy with business and delivery priorities.
- Document automation architecture, processes, and operating procedures, while mentoring junior engineers and manual testers transitioning to automated methods.
The Team
Our AI & Engineering leverages cutting-edge engineering capabilities to build, deploy, and operate integrated/verticalized sector solutions in software, data, AI, network, and hybrid cloud infrastructure. These solutions are powered by engineering for business advantage, transforming mission-critical operations. We enable clients to stay ahead with the latest advancements by transforming engineering teams and modernizing technology & data platforms. Our delivery models are tailored to meet each client's unique requirements.
Engineering as a Service provides complete design, implementation, and technology operations, leveraging our core engineering expertise. We transform engineering teams, modernize technology, and deliver complex programs with a product engineering approach. Our flexible delivery models-traditional teams, pools, or pods-are tailored to each client's needs, offering engineering-led advisory, implementation, and operational capabilities to accelerate innovation.
Qualifications
Required
- 4+ years of experience with Python development including building clean, efficient, and maintainable automation and testing solutions using tools such as PyTest, Robot Framework, and Selenium.
- Experience automating interactions with Java-based distributed systems, including RESTful APIs, Spring Boot microservices, and messaging platforms such as Kafka and RabbitMQ.
- Experience with Mainframe environments, including use of terminal emulators such as Py3270 and handling of flat files and EBCDIC file formats.
- Experience supporting CI/CD pipelines and version control practices using tools such as Jenkins, GitLab CI, and Git, with success delivering automation in Agile environments.
- Working knowledge of healthcare claims processing workflows, payment integrity concepts, and compliance considerations such as HIPAA.
- Bachelor's degree, preferably in Computer Science, Information Technology, Computer Engineering, or related IT discipline; or equivalent experience
- Limited immigration sponsorship may be available
- Ability to travel 10%, on average, based on the work you do and the clients and industries/sectors you serve
The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $74,900.00 to $147,600.00.