1 час назад
Principal Software Engineer (Machine Learning)
143 000 - 286 000$
Мэтч & Сопровод
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Описание вакансии
Текст:
TL;DR
Principal Software Engineer (Machine Learning) (Microservices/ML infrastructure): Building and scaling backend and machine learning infrastructure for an international recommendations platform serving Walmart sites in Mexico, Canada, and other markets with an accent on distributed systems, real-time inference, and scalable software architecture. Focus on designing feature stores, leading technical architecture, and solving performance, security, reliability, and operational excellence challenges across large-scale services.
Location: Sunnyvale, California, United States; hybrid work with primary in-office presence.
Salary: $143,000–$286,000 per year, plus performance-based bonuses and possible stock compensation.
Company
Global Tech develops large-scale technology, personalization, and retail systems serving hundreds of millions of customers worldwide.
What you will do
- Lead the architecture, design, development, and maintenance of scalable backend and machine learning infrastructure.
- Guide and mentor engineers through code reviews, design discussions, technical direction, and hands-on development.
- Design complex distributed, microservice, and event-driven systems with strong performance, security, and scalability.
- Lead discovery and technical planning for major projects, aligning architecture with business goals, milestones, and requirements.
- Collaborate with Product Management, Data Science, Quality Assurance, and DevOps teams.
- Promote engineering standards, documentation, testing, continuous integration, operational excellence, and technical innovation.
Requirements
- Bachelor’s degree in a relevant computer science or engineering field with required software engineering experience, or 7 years of software engineering experience.
- Advanced knowledge of software design, distributed systems, design patterns, data structures, and algorithms.
- Strong experience with microservices, event-driven architecture, backend development, and large-scale software products.
- Proficiency in Kafka and NoSQL databases, with coding experience in languages such as Java or Python.
- Experience with ML platforms, MLOps, feature stores, and context-aware real-time machine learning inference.
- Familiarity with Azure, Google Cloud Platform, CI/CD, production support, security, and software development lifecycle practices.
Nice to have
- Master’s degree in computer science, computer engineering, computer information systems, software engineering, or a related area.
- Knowledge of WCAG 2.2 AA, assistive technologies, and digital accessibility practices.
Culture & Benefits
- Hybrid working model combining office collaboration with virtual work according to business needs.
- Health, dental, and vision coverage, 401(k), stock purchase options, and company-paid life insurance.
- PTO, sick leave, parental and family care leave, disability benefits, and other paid leave programs.
- Performance-based incentive awards and education support through the Live Better U program.
- Inclusive workplace focused on learning, innovation, accessibility, and engineering excellence.
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