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Principal Software Engineer- Data Platform & AI (USA)

Jobgether

$162,000 - $181,000
Nov 5, 2025
Remote, US
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The partner company is looking for a Principal Software Engineer - Data Platform & AI to design, develop, and maintain high-performance data platforms and AI-integrated solutions, influencing the delivery of scalable, distributed systems that process large volumes of real-time data.

Requirements

  • 10+ years of professional software development experience, including at least 7 years with Java/Spring Boot microservices.
  • Strong experience with Jenkins, Docker, Kubernetes, and cloud platforms such as AWS or Azure.
  • Proven expertise in building large-scale distributed systems and real-time or near real-time data pipelines.
  • Familiarity with Lakehouse architectures, Azure ADLS Gen2, and data frameworks like Apache Hudi.
  • Solid understanding of Enterprise Design Patterns; experience with Agentic AI components is a bonus.

Responsibilities

  • Design, implement, and maintain production-grade software solutions, including data pipelines, microservices, and AI-integrated components.
  • Lead technical execution across a Scrum team, ensuring adherence to best practices and high standards for code quality.
  • Automate workflows, develop tools, and implement processes that improve efficiency and reliability.
  • Analyze, debug, and validate complex systems using test-driven development approaches.
  • Mentor and review the work of team members, fostering technical growth and knowledge sharing.
  • Stay up-to-date with emerging technologies and incorporate innovative solutions into the platform.
  • Experience integrating AI into software development workflows; proficiency in leveraging AI to accelerate coding is a plus.

Other

  • Collaborate with business stakeholders to gather requirements, iterate on solutions, and deliver impactful features.
  • Self-starter capable of delivering results with minimal supervision in a fast-paced environment.
  • Collaborative team player with excellent organization and personal leadership skills.
  • Embrace ambiguity, navigate complex technical challenges, and foster a culture of learning, experimentation, and high-quality engineering.
  • Remote-friendly work environment with occasional in-office events in Mississauga or Salt Lake City.