As a Software Engineer in this contingent resource role, you will play a key part in driving complex, large-scale software engineering initiatives. You'll consult on strategic technical challenges, evaluate multifaceted systems, and contribute to the development of scalable, high-impact solutions. This role requires a deep understanding of cloud infrastructure, distributed systems, and emerging AI technologies.
Responsibilities:
Lead and consult on high-impact software engineering projects with broad technical scope and long-term implications.
Analyze and resolve complex engineering challenges involving multiple variables, including novel or ambiguous factors.
Collaborate cross-functionally with client teams to align technical solutions with business goals.
Ensure compliance with engineering standards, policies, and best practices.
Contribute to the design and implementation of scalable systems leveraging modern cloud and AI technologies.
Minimum Qualifications:
5+ years of experience in software engineering or equivalent experience through consulting, military service, or education.
3+ years of experience working with cloud computing platforms (e.g., GCP, AWS, Azure).
3+ years of experience managing or developing on GPU clusters.
2+ years of experience working with Large Language Models (LLMs).
2+ years of experience with Apache Iceberg or similar data lakehouse technologies.
Preferred Qualifications:
Experience with Apache Spark for large-scale data processing.
Hands-on experience with Google Cloud Platform (GCP).
Proficiency in Python and familiarity with machine learning frameworks.
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Contact: nfernandez01@judge.com
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