What are the responsibilities and job description for the Automation Engineer position at Deloitte?
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 24 th , 2026
Work You'll Do/Responsibilities
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
Recruiting for this role ends on June 24 th , 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.
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
Salary : $74,900 - $147,600