Senior SDE, AWS Transform: Autonomous Dev Lifecycle

Amazon Web Services (AWS); Seattle (WA); On-site; USD 168,000 - 227,000; Full time

Benefits offered by this job

Health insurance

401(k) matching

Paid time off

Parental leave

Job summary

AWS Transform is building agentic AI systems to help customers modernize applications with automation, reliability, and scale from development to deployment. The role focuses on designing distributed systems and orchestration for autonomous workflows within the AWS environment, collaborating with product, science, and customers.

The successful candidate will mentor teams, advance engineering practices, and maintain customer-centric decisions, while leveraging AWS infrastructure like EC2 and VPC

Qualifications

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

Responsibilities

• Design and implement complex distributed systems with stringent latency and reliability requirements.
• Architect scalable agent infrastructure including orchestration, state management, and tool integration.
• Drive technical alignment across multiple engineering teams and stakeholders.
• Collaborate with Product, Science, and customers to translate requirements into effective technical solutions.
• Develop team members' technical capabilities through mentorship, knowledge sharing, and best practices.
• Maintain strong focus on customer experience in all technical decisions.

Skills

Software development

Programming

Design/architecture

Mentor/lead

Education

Bachelor's degree in Computer Science

Tools

EC2

VPC

Job description

AWS Transform is building agentic AI systems to help customers modernize applications with automation, reliability, and scale from development to deployment. The role focuses on designing distributed systems and orchestration for autonomous workflows within the AWS environment, collaborating with product, science, and customers.

The successful candidate will mentor teams, advance engineering practices, and maintain customer-centric decisions, while leveraging AWS infrastructure like EC2 and VPC