Lead Generative AI Cloud Engineer

Socket.dev

Seattle (WA)

On-site

USD 168,000 - 227,000

Full time

14 days+
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Benefits offered by this job

Health insurance
RSUs
Sign-on bonus
Career growth

Job summary

Amazon Web Services (AWS) is seeking a Lead Software Development Engineer for the Amazon Quick team to design and implement features, scale distributed systems, and provide technical leadership across AI services. The role emphasizes high visibility, impact, and collaboration with senior scientists and engineers within AWS AI to deliver robust software on tight schedules.

You will mentor teams, drive engineering best practices, and help shape the roadmap for enterprise AI capabilities within the

Qualifications

  • 5+ years of professional software development experience.
  • 5+ years of programming with at least one language.
  • 5+ years of leading design or architecture of scalable systems.
  • Experience as a mentor, tech lead or leading an engineering team.

Responsibilities

  • Deciding what features and performance improvements to build
  • Driving software engineering best practices
  • Designing distributed and scalable systems
  • Providing technical leadership and contribute to the definition, development, integration, test, documentation, and support new AI Services
  • Instill best practices for software development and documentation, making sure designs meet requirements, and delivering high quality software on tight schedules

Skills

Software development
Mentor / tech lead
Leadership
Distributed systems

Education

Bachelor's degree in Computer Science or equivalent

Job description

Amazon Web Services (AWS) is seeking a Lead Software Development Engineer for the Amazon Quick team to design and implement features, scale distributed systems, and provide technical leadership across AI services. The role emphasizes high visibility, impact, and collaboration with senior scientists and engineers within AWS AI to deliver robust software on tight schedules.

You will mentor teams, drive engineering best practices, and help shape the roadmap for enterprise AI capabilities within the

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