обновлено 7 месяцев назад
Senior Software Engineer (AI/Cloud)
111 000 - 170 200$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Software Engineer (AI/Cloud): Leading the design, development, and deployment of scalable software solutions for logistics and warehouse automation with an accent on cloud-based architecture and big data technologies. Focus on mentoring engineers, optimizing database performance, and driving DevOps best practices.
Location: Atlanta, GA, United States
Salary: $111,000 - $170,200
Company
is a global leader in logistics and warehouse automation.
What you will do
- Design and develop scalable, high-performance software solutions for multi-tenant, cloud-based warehouse optimization systems powered by big data and AI.
- Write clean, maintainable, and high-quality code, ensuring alignment to industry best practices.
- Lead full-stack development, contributing to both front-end and back-end components using frameworks such as Lit, Vue, React, Angular and services including REST, GraphQL and WebSockets.
- Optimize database performance, working with both SQL and NoSQL databases, and implement big data technologies for real-time analytics.
- Drive automation and DevOps best practices, leveraging Terraform, GitLab, and cloud-based infrastructure to enhance deployment efficiency.
- Collaborate cross-functionally with UX designers, product managers, and engineering teams to deliver seamless and impactful user experiences.
Requirements
- Bachelor's degree in engineering or similar field
- 8+ years of hands-on software development experience, with a strong track record in full-stack engineering.
- Experience working in agile development environments, delivering incremental enhancements that drive customer value.
- A passion for mentoring and leadership, fostering growth among engineering teams.
- Expertise in modern web frameworks (Lit, Vue, React, Angular) and API development (REST, GraphQL, WebSockets).
- Proficiency in cloud-based architecture and experience with infrastructure automation (Terraform, GitLab, Kubernetes).
- Strong database skills in SQL and NoSQL technologies, with a focus on performance optimization and scalability.
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