Sustainability Platform Engineering Lead

Amazon; Seattle (WA); On-site; USD 185,000 - 250,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

Job summary

Amazon’s Worldwide Sustainability invites an experienced Software Development Manager to lead the engineering team that builds and operates the environment intelligence platform. You will set technical direction, manage engineers, and stay hands-on to make hard calls.

You will partner with researchers, deploy AI/ML in production, own external-grade APIs, and drive AI-native engineering practices while delivering reliable, scalable software that informs sustainability decisions.

Qualifications

• 3+ years of engineering team management experience.
• 7+ years of working directly within engineering teams experience.
• 3+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience.
• 8+ years of leading the definition and development of multi tier web services experience.
• Knowledge of engineering practices and patterns for the full software/hardware/networks development life cycle.

Responsibilities

• Own production systems that business unit leaders, finance teams, and external partners depend on for numbers they report publicly.
• Lead a team of software development engineers directly; hands-on technical involvement at level 6.
• Set technical direction and architecture — API design, system reliability, AI/ML production infrastructure, and debt management.
• Own the engineering operating model: production reliability, incident response, deployment practices, and on-call.
• Drive AI-native engineering practices: AI-assisted development and testing as standard workflow.

Skills

Engineering management

Hands-on engineering

System design & architecture

Web services leadership

SDLC & operations

Job description

Amazon’s Worldwide Sustainability invites an experienced Software Development Manager to lead the engineering team that builds and operates the environment intelligence platform. You will set technical direction, manage engineers, and stay hands-on to make hard calls.

You will partner with researchers, deploy AI/ML in production, own external-grade APIs, and drive AI-native engineering practices while delivering reliable, scalable software that informs sustainability decisions.