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Redlands

    Principal Software Engineer - Redlands, United States - Esri

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    Description

    Overview

    At Esri, our users come first. With thousands of customers and millions of users worldwide, we want your help building the next generation of ArcGIS Enterprise, a suite of products delivering state-of-the-art mapping and analytics capability. Our team builds cutting-edge, highly scalable, and reliable distributed software for on-premises and the cloud to make maps, geographic information, and analyses available on any device, anywhere, at any time.

    As a principal software engineer, you will bring your experience in geospatial science and cloud technology to solve real world problems in GIS using ML/DL and generative AI technology. You will be embedded in the various software development teams within ArcGIS Enterprise that focus on building frameworks to apply AI principles to GIS problems. In addition, there are responsibilities for integration testing of the framework, validating the scalability and performance of the architecture, evaluating cloud-native adoption and cost analysis, as well as helping in DevOps engineering – running the built architecture in production for Online and Enterprise customers.

    If you are passionate about building great distributed systems, micro-services architecture, and spatial data analytics, join us

    Responsibilities

    • Build a test automation framework in Python for AI Assistant server
    • Write regression and integration tests for various skills in Python to be run in the test automation framework
    • Perform performance and scalability tests, as well as implement metering and monitoring, of the AI Assistant Server
    • Validate and scalability test the various components of the server (prompt stores, conversation stores, index stores, and more)
    • Contribute towards the CICD pipeline to deploy server in Online and in Enterprise
    • Perform cost analysis of the various queries run within the server to identify alternatives and potential opportunities to keep the implementation economical
    • Perform code and architecture review
    • Evaluate performance of the server when run with alternate LLMs (Bedrock, Gemini, and more)
    • Write regression and integration tests, as well as validate the scalability and performance, of the various DL models for Model Server
    • Mentor and coach junior engineers through design and code reviews, technology presentations, and insights
    • Share your leading expertise through documentation and mentorship

    Requirements

    • 8+ years of experience in software and system development
    • Proficiency in Geographic Information Systems
    • Proficiency in Python and Java
    • Proficiency in writing tests (thinking GIS workflows and codifying it in test frameworks)
    • Hands-on experience with ML/DL/Gen AI models
    • Hands-on experience in deploying ML and DL models for inferencing
    • Hands-on experience in operating server architectures in one or more cloud environments (Azure, AWS, GCP, and more)
    • Proficiency in architecting systems that take advantage of cloud-native services
    • Bachelor's in computer science, GIS, Mathematics, or related field

    Recommended Qualifications

    • Experience with cloud services like AWS, Google Cloud, or Azure
    • Demonstrated ability to self-direct, with an eagerness to learn and grow
    • Excellent communication skills, with the ability to explain complex concepts to non-technical team members
    • Master's in computer science, GIS, Mathematics, or related field

    Total Rewards

    Esri's competitive total rewards strategy includes industry-leading health and welfare benefits: medical, dental, vision, basic and supplemental life insurance for employees (and their families), 401(k) and profit-sharing programs, minimum accrual of 80 hours of vacation leave, twelve paid holidays throughout the calendar year, and opportunities for personal and professional growth. Base salary is one component of our total rewards strategy. Compensation decisions and the base range for this role take into account many factors including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs.

    A reasonable estimate of the base salary range is $135,200—$228,800 USD

    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 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.

    Esri Privacy Esri takes our responsibility to protect your privacy seriously. We are committed to respecting your privacy by providing transparency in how we acquire and use your information, giving you control of your information and preferences, and holding ourselves to the highest national and international standards, including CCPA and GDPR compliance.



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