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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 30th, 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. 

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 30th, 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.