Senior SDE: SageMaker Data Prep & AI Pipelines

Socket.dev

Bellevue (WA)

On-site

USD 168,000 - 227,000

Full time

13 days ago

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Benefits offered by this job

Health insurance
401(k) matching
Paid time off
Parental leave

Job summary

Amazon SageMaker AI is a fully managed ML service that simplifies building, training, and deploying models. We are seeking a Senior SDE to own design and delivery of large-scale distributed systems powering end-to-end ML development within SageMaker.

You will lead technical vision, influence product direction, and raise the engineering bar while collaborating across teams to deliver scalable, customer-obsessed solutions.

Qualifications

  • 5+ years of non-internship professional software development experience.
  • 5+ years of leading design or architecture of new and existing systems.
  • Experience as a mentor, tech lead or leading an engineering team.

Responsibilities

  • Lead the architecture, design, and implementation of complex software systems.
  • Own end-to-end delivery of large-scale distributed services with high availability and low latency.
  • Collaborate with product, science, and partner engineering teams to define roadmaps and deliver customer-obsessed solutions.
  • Mentor engineers across levels, conduct design and code reviews, raise the technical and operational bar.
  • Champion CI/CD, observability, testing, and incident management; drive ownership and accountability.
  • Identify opportunities to simplify, automate, and improve the developer experience.

Skills

Software development
Technical leadership
Mentorship
Distributed systems
SageMaker

Education

Bachelor's degree in Computer Science or equivalent

Job description

Amazon SageMaker AI is a fully managed ML service that simplifies building, training, and deploying models. We are seeking a Senior SDE to own design and delivery of large-scale distributed systems powering end-to-end ML development within SageMaker.

You will lead technical vision, influence product direction, and raise the engineering bar while collaborating across teams to deliver scalable, customer-obsessed solutions.

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