Software Engineer – Cloud Deployment Automation (TS/SCI Eligible)

Amazon Web Services (AWS); Seattle (WA); On-site; USD 143,700 - 194,400; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Job summary

Amazon Web Services, Inc. in Seattle, WA is seeking engineers to design, build, and operate massively scalable systems. You will own end-to-end components, work on automated platforms to streamline deployments, and collaborate across AWS service teams to deliver high-impact solutions.

The role emphasizes ownership, collaboration, and opportunities to learn, with visibility across leadership and potential security clearances. The team values innovation and a customer-obsessed mindset at scale.

Qualifications

• Bachelor's degree or CSSLP (Certified Secure Software Lifecycle Professional)
• 3+ years of non-internship professional software development
• 3+ years of full stack development experience
• 2+ years of non-internship design/architecture (design patterns, reliability and scaling) of new and existing systems
• 2+ years of Linux operating systems experience

Responsibilities

• Develop automated platforms to streamline AWS build and deployment processes.
• Collaborate with AWS service teams to enable zero-touch deployments and reduce time to deploy features.

Skills

Full stack development

Linux

Software architecture

Reliability & scaling

Education

Bachelor's degree or CSSLP

Bachelor's degree in computer science or equivalent

Tools

Modern web frameworks

APIs

CI/CD tools

Job description

Amazon Web Services, Inc. in Seattle, WA is seeking engineers to design, build, and operate massively scalable systems. You will own end-to-end components, work on automated platforms to streamline deployments, and collaborate across AWS service teams to deliver high-impact solutions.

The role emphasizes ownership, collaboration, and opportunities to learn, with visibility across leadership and potential security clearances. The team values innovation and a customer-obsessed mindset at scale.