Remote Senior Software Engineer Backend (Python, Microservices, Gen AI) (9848)
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Description:
The Senior Software Engineer Backend (Python, Microservices, Gen AI) position is a full-time remote role based in Illinois, United States.
The company, Extreme Networks, provides cloud-driven networking solutions and has over 50,000 global customers.
The role involves innovating with generative AI and creating impactful solutions in machine learning.
The engineer will work on a greenfield project, defining user and product experiences while driving technical and scientific roadmaps.
Responsibilities include leading the software development lifecycle, designing and launching machine learning solutions, and participating in technical discussions and reviews.
The engineer will craft high-performance microservices architectures and develop real-time online inferencing for complex models.
Mentoring other engineers and establishing technical direction is also a key part of the role.
The company promotes a culture of diversity, inclusion, and equality, encouraging employees to thrive based on their differences.
Requirements:
A degree in mathematics, computer science, or a related discipline is required.
Candidates must have 5+ years of experience in the complete software development lifecycle, including design, coding, testing, and operations.
Proficiency in Python with in-depth knowledge of its advanced features and libraries is essential, along with 5+ years of experience.
Expertise in designing RESTful APIs and hands-on experience with technologies such as FastAPI is required.
Proficiency in Docker, Kubernetes, and modern CI/CD practices is necessary.
Candidates should have 3+ years of experience in leading the design and architecture of large distributed systems, preferably on cloud platforms like AWS, Azure, or Google Cloud.
Experience as a mentor, tech lead, or leading an engineering team is also required.
Benefits:
The company fosters an inclusive workplace that embraces diversity and creates an atmosphere for all employees to thrive.
Employees are encouraged to innovate and experiment with new technologies in a supportive environment.
The role offers the opportunity to work on cutting-edge projects in machine learning and data mining.
Employees can expect to be part of a team that values collaboration and continuous improvement.
The company promotes a culture of operational excellence and technical rigor, ensuring high standards in engineering practices.