Software Development Manager - ML & Systems Lead

Amazon

Austin (TX)

On-site

USD 185,000 - 250,000

Full time

2 days ago
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Job summary

Amazon is seeking an engineering leader to drive ML-enabled pricing and service design for the Amazon Flex platform in Austin, TX. You will oversee the development of multi-tier web services, mentor engineers, and partner with product, research, and finance teams to optimize offers and scale the system.

You’ll own the team roadmap, push for quality improvements, and guide hiring to build a high-performing group under a high technical bar.

Qualifications

  • 3+ years of engineering team management experience.
  • 7+ years of working directly within engineering teams.
  • 3+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems.
  • 8+ years of leading the definition and development of multi tier web services.
  • Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle, including coding standards, code reviews, source control management, build processes, testing, certification, and livesite operations.
  • Experience partnering with product or program management teams.

Responsibilities

  • Lead design and development of various services across teams.
  • Oversee integration of machine learning into offer pricing architecture.
  • Influence system design and shape team culture around best practices.
  • Own and deliver a high-impact system for Amazon customers and Flex drivers.
  • Lead people development, hiring, and roadmap planning for the team.

Skills

Engineering leadership
Team management
Software engineering
System design
Multi-tier web services
PM collaboration
ML integration

Tools

Source control
Build & deploy
Testing & QA
Livesite operations

Job description

Amazon is seeking an engineering leader to drive ML-enabled pricing and service design for the Amazon Flex platform in Austin, TX. You will oversee the development of multi-tier web services, mentor engineers, and partner with product, research, and finance teams to optimize offers and scale the system.

You’ll own the team roadmap, push for quality improvements, and guide hiring to build a high-performing group under a high technical bar.

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