Overview
Join our team in building the next generation of ArcGIS Enterprise, a suite of products delivering state-of-the-art mapping and analytics capabilities to millions of users worldwide.
Our team builds cutting-edge, highly scalable, and reliable distributed software for on-premises and cloud environments. Our software is used to make maps, geographic information, and analyses available on any device, anywhere, at any time. Our product engineers are integral to delivering high-quality software, which includes testing.
As a product engineer, you will work with our cross-functional global team of product engineers and developers. You will be actively involved with testing, designing and delivering next generation AI Assistants in ArcGIS Enterprise using software development and quality assurance practices.
If you are passionate about software quality, geospatial technology, natural language processing and can develop a deep understanding of our products and customer needs, this is the place to be!
Responsibilities
- Contribute to the development and maintenance of an automation framework specifically tailored for Large Language Models
- Collaborate with cross-functional teams to ensure the seamless integration of LLM automation into the testing process
- Triage and address reported issues in the software
- Participate in, and improve manual testing
- Engage with feature teams to troubleshoot inconsistent results
- Communicate project status regularly to the team
Requirements
- 1 year of Python programming experience
- Knowledge of NLP (Natural Language Processing) concepts and techniques
- Excellent problem-solving and analytical skills
- Effective time management, and organizational skills
- Good written and verbal communication skills
- Bachelor's in GIS, geography, engineering, computer science, or related fields
Recommended Qualifications
- Experience with ArcGIS Enterprise, ArcGIS Online or other geospatial technology
- Experience with popular testing tools and frameworks (such as Selenium, JUnit, TestNG)
- Experience working with Linux and Windows OS
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The Company
At Esri, diversity is more than just a word on a map. When employees of different experiences, perspectives, backgrounds, and cultures come together, we are more innovative and ultimately a better place to work. We believe in having a diverse workforce that is unified under our mission of creating positive global change. We understand that diversity, equity, and inclusion is not a destination but an ongoing process. We are committed to the continuation of learning, growing, and changing our workplace so every employee can contribute to their life’s best work. Our commitment to these principles extends to the global communities we serve by creating positive change with GIS technology. For more information on Esri’s Racial Equity and Social Justice initiatives, please visit our website here.
If you don’t meet all of the preferred qualifications for this position, we encourage you to still apply!
Esri is an equal opportunity employer (EOE) and all qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. If you need reasonable accommodation for any part of the employment process, please email [email protected] and let us know the nature of your request and your contact information. Please note that only those inquiries concerning a request for reasonable accommodation will be responded to from this e-mail address.
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Top Skills
What We Do
As a leading location intelligence platform provider (Forrester Wave 2020), Esri empowers leaders with innovative tools to help create sustainable prosperity. Esri's customers drive digital transformation by embracing the power of location.
We pioneer problem solving with GIS to help you see what others can’t.
We build ArcGIS, the world’s most powerful mapping & spatial analytics software. ArcGIS software and apps combine mapping and data analytics to deliver location intelligence and meet digital transformation needs for organizations of all sizes.
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