AWS Python- GenAI Developer

System One
Mountain Brook, AL, United States
about 1 month ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Compensation
$98,500.0
Working hours
Regular working hours
Job source

Tech stack

Java (Programming Language) Application Programming Interfaces (APIs) Artificial Intelligence Amazon Web Services Business Analytics Applications Data Analysis Application Integration Architecture Software as a Service Cloud Computing Information Systems Distributed Systems Github
+11 more
Python (Programming Language) Standard Sql Software Engineering SQL Databases Data Streaming Systems Integration Large Language Models Information Technology Terraform Software Version Control Workday

Job description

Systemone is seeking a AWS Python- GenAI Developer to develop and support cloud native applications, automation capabilities, and enterprise integrations supporting a large scale Workday SaaS implementation within the financial services industry., This is a hands on engineering role with a strong emphasis on AWS, Python, Java, SQL, automation, and AI enabled development. The engineer will build and enhance data driven applications and integrations, develop automation that improves delivery and operational reliability, and support production applications and complex technical issues. The role will also contribute to LLM based and AI enabled engineering capabilities, working alongside technical and business teams to deliver secure, scalable, and reliable solutions in an enterprise AWS environment.

Requirements

  • 5+ years of hands on software engineering experience with Python and Java.
  • Experience developing and supporting applications using AWS native services.
  • Strong SQL and data analysis skills with experience working on data driven applications.
  • Experience building cloud native applications, APIs, and enterprise integrations.
  • Hands on experience developing automation to improve deployment, operational, or engineering processes.
  • Experience integrating LLMs or generative AI capabilities into applications or engineering workflows.
  • Experience with Terraform for infrastructure as code and GitHub for source control and development workflows.
  • Strong understanding of application integration, data flows, and distributed systems.
  • Experience troubleshooting and supporting production applications, including complex application and integration issues.
  • Ability to work effectively across engineering, cloud, data, and application teams in a large enterprise environment.

Educational Requirements Bachelor’s degree in Computer Science, Information Systems, or a related field. *

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