Moody's Corporation · 5 days ago
Staff Software Engineer
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Responsibilities
Design, develop, and maintain backend systems and APIs for serving use cases integrated with generative AI models.
Optimize and scale the backend infrastructure to handle high-volume traffic and ensure low-latency model inference.
Implement caching, load balancing, and other performance optimization techniques to improve system responsiveness and efficiency.
Collaborate with machine learning engineers and data scientists to integrate use cases into the backend systems.
Develop and maintain monitoring, logging, and alerting systems to ensure the smooth operation of the backend services.
Participate in code reviews, testing, and documentation efforts to maintain high code quality and ensure system reliability.
Stay up-to-date with the latest advancements in generative AI, Python frameworks, and backend technologies, and contribute to the continuous improvement of our systems.
Qualification
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Required
Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field, or equivalent practical experience.
4+ years of experience in backend development with Python, with a strong understanding of Python web frameworks (e.g., Flask, Django, FastAPI).
Proficiency in building and deploying scalable, high-performance, and resilient backend systems.
Experience with cloud platforms (e.g., AWS, GCP, Azure) and containerization technologies (e.g., Docker, Kubernetes).
Knowledge of databases (e.g., PostgreSQL, MongoDB) and caching systems (e.g., Redis, Memcached).
Familiarity with machine learning concepts and experience working with generative AI models is a plus.
Strong problem-solving, analytical, and debugging skills.
Excellent communication and collaboration skills, with the ability to work effectively in a cross-functional team environment.
Company
Moody's Corporation
In a world shaped by increasingly interconnected risks, Moody’s helps customers develop a holistic view of these risks to advance their business and act decisively.
Funding
Current Stage
Late StageTotal Funding
$5.49M2022-03-14Series Unknown· $5.49M
Leadership Team
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