Staff Software Engineer (100% Remote Flexibility, US, UK, OR Costa Rica Preferred) - #7530747
Moody's Corporation
Fecha: hace 1 semana
ciudad: Heredia, Heredia
Tipo de contrato: Tiempo completo
Experience Level: Experienced Hire
Categories:
If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity.
Central Product Group
In the Central Product Group, we foster a collaborative approach to strategy and marketing to serve our customers. Our culture and approach is anchored in iterative and innovative learning and delivery, that puts the customer at the center of everything we do. We’re here to identify new market opportunities, create a company-wide marketing strategy, and drive best practice, consistency and a coordinated approach to product strategy. Our team is made up of dedicated individuals such as marketing and business development experts, product owners and business founders, brand strategists and event professionals. We work hard to build a culture of innovation that encourages experimentation and an open mindset to problem solving.
GenAI Enablement Team under CPG (Central Product Group) is seeking an experienced Python engineer to join our team working on cutting-edge generative AI applications.
Role/Responsibilities:
In this role, you will be responsible for developing and maintaining the backend systems that power our generative AI models and services. You will work closely with our machine learning engineers, data scientists, and product teams to build highly scalable, efficient, and reliable systems that enable our generative AI models to be deployed and served in production environments.
Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody’s Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.
Categories:
- Engineering & Technology
- One Canada Square, Canary Wharf, London, E14 5FA, GB
- 4th floor, East Tower, Eurocenter Business Center, in front of Cenada, Heredia, 40104, CR
- 7 World Trade Center, 250 Greenwich Street, New York, New York, 10007, US
If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity.
Central Product Group
In the Central Product Group, we foster a collaborative approach to strategy and marketing to serve our customers. Our culture and approach is anchored in iterative and innovative learning and delivery, that puts the customer at the center of everything we do. We’re here to identify new market opportunities, create a company-wide marketing strategy, and drive best practice, consistency and a coordinated approach to product strategy. Our team is made up of dedicated individuals such as marketing and business development experts, product owners and business founders, brand strategists and event professionals. We work hard to build a culture of innovation that encourages experimentation and an open mindset to problem solving.
GenAI Enablement Team under CPG (Central Product Group) is seeking an experienced Python engineer to join our team working on cutting-edge generative AI applications.
Role/Responsibilities:
In this role, you will be responsible for developing and maintaining the backend systems that power our generative AI models and services. You will work closely with our machine learning engineers, data scientists, and product teams to build highly scalable, efficient, and reliable systems that enable our generative AI models to be deployed and served in production environments.
- Design, develop, and maintain backend systems and APIs for serving use cases that are integrated with generative AI models, including text generation, image generation, and multimodal 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.
- 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.
Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody’s Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.
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