Remote Backend Engineer for AI Model Training

Amazon.com, Inc.

Seattle, WA, United States

2 months ago

Role details

Contract type

Permanent contract

Employment type

Full-time (> 32 hours)

Experience required

1 year minimum

Compensation

$124,800.0 - $228,800.0

Working hours

Regular working hours

Job source

careerjet.com

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Amazon Web Services User Authentication Microsoft Azure Code Review Machine Learning NoSQL Backend Containerization Kubernetes Restful APIs

+4 more

Serverless Computing Docker Programming Languages Microservices

Job description

As a Backend Engineer, you will play a crucial role in shaping the future of AI systems by developing scalable backend services and APIs that enhance model performance. Your expertise will directly influence how AI learns and operates, leveraging real-world input to create impactful solutions., * Design, develop, and maintain scalable backend services and APIs that meet demanding performance requirements.

Collaborate cross-functionally to translate business needs into technical specifications and impactful backend solutions.
Optimize backend systems for reliability, security, and efficiency, ensuring seamless user experiences.
Write clean, well-documented, and thoroughly tested code, adhering to best engineering practices.
Participate actively in code reviews, mentoring, and knowledge sharing sessions with fellow engineers.
Monitor, troubleshoot, and resolve backend issues in production environments, targeting root causes and continuous improvements.
Contribute to architecture discussions and decisions, bringing innovative ideas and a solutions-oriented mindset.

Requirements

1+ years of proven expertise in backend development using modern programming languages.
Extensive experience designing and implementing RESTful APIs and microservices architectures.
Strong proficiency with relational and NoSQL databases, along with data modeling principles.
Deep understanding of system security, authentication, and authorization best practices.
Experience with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes).
Excellent written and verbal communication skills, with a collaborative and proactive approach.
Ability to thrive in a fast-paced, fully remote expert team environment., * Familiarity with event-driven or serverless architectures.
Experience with CI/CD pipelines and automated testing frameworks.
Background in mentoring or technical leadership within backend teams., No prior experience in AI is required; your domain knowledge is what matters.

Benefits & conditions

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