Backend Software Engineer - AI

Company: Sundayy

Location: Location not specified (Remote)

Type: Full-time

Remote: Yes

Posted: 2026-04-24

About this role

About The Company
Red Hat is a global leader in open source solutions, committed to fostering innovation through collaborative development and community-driven projects. Renowned for its enterprise-grade open source software, Red Hat empowers organizations to build flexible, scalable, and secure infrastructure. With a strong emphasis on open standards, security, and interoperability, Red Hat serves a diverse clientele spanning various industries including technology, finance, healthcare, and government. The company's culture promotes continuous learning, inclusivity, and ethical use of emerging technologies, positioning itself at the forefront of digital transformation and automation.


About The Role
The Principal Software Engineer at Red Hat is a senior technical contributor and strategic leader responsible for designing, developing, and maintaining core backend services. This role demands expertise in scalable distributed systems, high-performance API development, and robust data modeling. The successful candidate will lead efforts to integrate advanced AI capabilities, including Large Language Models (LLMs) and AI Agentic workflows, to drive automation and enhance product intelligence. As a key technical authority, you will mentor engineering teams, provide architectural guidance, and ensure all solutions adhere to Red Hat’s standards for security, privacy, and performance. This position offers an exciting opportunity to work at the intersection of traditional backend engineering and cutting-edge AI innovation, shaping the future of automation and intelligent systems.


Qualifications

  • Mastery of Python and its ecosystem (e.g., FastAPI, Django, Flask)
  • Extensive experience building and consuming RESTful and GraphQL APIs
  • Deep knowledge of relational databases such as PostgreSQL and NoSQL solutions like Redis and MongoDB
  • Hands-on experience with cloud-native technologies including Kubernetes, OpenShift, AWS, or Azure
  • Practical experien...

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