Senior Container Start-up Architect - Scale & Performance

Amazon Web Services (AWS)

Seattle (WA)

On-site

USD 168,000 - 227,000

Full time

14 days+
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Benefits offered by this job

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

Job summary

Amazon Development Center U.S., Inc. in Seattle seeks a senior engineering leader to own the architecture for container start-up optimization at scale and drive cross-layer system design. You will mentor senior engineers, collaborate with ECS leadership, and shape the future of Fargate performance.

You will champion operational practices, telemetry, runbooks, and root-cause analysis while delivering a step-function improvement in container readiness and deployment latency.

Qualifications

  • 5+ years of professional software development experience.
  • 5+ years programming in at least one language.
  • 5+ years leading design/architecture of systems.
  • Experience as a mentor or tech lead.

Responsibilities

  • Own the architecture and technical roadmap for container start-up optimization at scale.
  • Drive system design across the container runtime, OS, and networking layers.
  • Mentor and grow a team of engineers building foundational infrastructure.
  • Work with ECS leadership to shape Fargate performance.
  • Ensure strong operational practices, monitoring, runbooks, and retrospective processes.

Skills

Software development
Programming languages
System design/Architecture
Mentorship/Tech lead

Education

Bachelor's degree in Computer Science or equivalent

Tools

Docker
Kubernetes
ECS

Job description

Amazon Development Center U.S., Inc. in Seattle seeks a senior engineering leader to own the architecture for container start-up optimization at scale and drive cross-layer system design. You will mentor senior engineers, collaborate with ECS leadership, and shape the future of Fargate performance.

You will champion operational practices, telemetry, runbooks, and root-cause analysis while delivering a step-function improvement in container readiness and deployment latency.

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