Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Широкая зона ответственностиСовременный стекРазвитие ИИ-продуктов
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Principal Software Engineer (AI): Leading the design and delivery of large-scale distributed software systems with an accent on cloud-native architectures, microservices, and production AI/ML integration. Focus on designing event-driven systems, integrating computer vision and foundation models, and ensuring scalability, security, observability, and operational resilience.
Location: Hybrid, Lehi, Utah, United States; worksite at 1441 W Innovation Way, Suite 500, Lehi, UT 84043, combined with a home office.
Company
hirify.global's Corporate Engineering department develops large-scale, distributed software systems and AI-accelerated product capabilities.
What you will do
Lead complex technical initiatives and make architectural decisions for robust, scalable, secure, and high-quality software systems.
Set technical direction and design, develop, and implement large-scale distributed systems and features.
Evaluate emerging technologies and drive cloud-native, microservices-based, event-driven, and service-oriented architectures.
Architect and integrate AI and machine learning solutions, including applied machine learning, computer vision, and foundation-model integrations such as Amazon Bedrock.
Establish engineering standards for quality, observability, and operational excellence while reducing operational cost and increasing system resilience.
Provide technical leadership and mentorship to engineers.
Requirements
Bachelor's degree in Computer Science, Software Engineering, or a related technical field, plus 5 years of experience in software development or a related occupation.
Background designing, building, and maintaining large-scale, distributed software systems.
Ability to design and implement cloud-native architectures on Amazon Web Services (AWS).
Ability to design and deliver microservices-based and event-driven software architectures.
Background architecting and integrating AI and machine learning solutions into production software systems, including applied machine learning, computer vision, and foundation-model integration such as Amazon Bedrock.
Proficiency in multiple programming languages and frameworks, including Python and FastAPI for backend and API development and React with modern JavaScript/TypeScript for front-end delivery.
Knowledge of SQL, Snowflake, relational and NoSQL databases, and data pipelines and streaming for large-scale, high-volume processing.
Knowledge of CI/CD pipelines, infrastructure-as-code, monitoring, logging, and observability tooling for production reliability.
Ability to translate complex and ambiguous business problems into scalable, reliable, and secure technical solutions.
Culture & Benefits
Hybrid work combining the Lehi worksite with a home office.
Full-time salaried employment.
Focus on engineering quality, observability, operational excellence, mentorship, and technical leadership.
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