The future of software development is autonomous. AWS is building Kiro Autonomous Agent —a frontier agent that independently tackles development tasks, maintains context across interactions, and continuously learns from its work. This isn't just another AI tool; it's a fundamental shift in how software gets built and maintained.

We're looking for engineers who want to shape this transformation. You'll work alongside exceptional talent solving novel problems at the intersection of AI and software engineering. The challenges are unique: building systems that operate autonomously, retain context across complex workflows, and improve through experience—all while meeting AWS's exacting standards for scale, reliability, and security.

Your impact will be immediate and visible. You'll ship features that directly improve how developers work. Daily collaboration includes code reviews, mentorship in both directions, and rapid skill development. From day one, you'll have opportunities to lead—whether that's owning projects, defining technical direction, or shaping how the team operates.

This is your chance to build the agent that builds the future.


Key job responsibilities
We seek a highly qualified Software Developer with demonstrated expertise in compute and networking technologies to contribute to the design, implementation, and maintenance of large-scale distributed systems. The successful candidate will apply rigorous engineering principles to develop infrastructure that is reliable, performant, and resilient under production conditions. We need an environment where agent and tools will run hence required competencies are following.

Required Competencies
Candidates are expected to possess substantive, hands-on proficiency in one or more of the following technical domains:

Compute Systems: Practical experience with cloud-based compute services (e.g., AWS EC2, ECS, Lambda, or equivalent platforms), container orchestration frameworks (Docker, Kubernetes), and the architectural principles underlying distributed computing paradigms
Networking Fundamentals: Comprehensive understanding of core networking protocols and constructs, including TCP/IP, DNS resolution, load balancing strategies, virtual private cloud (VPC) configuration, subnet management, firewall policies, and service mesh architectures
Systems Architecture: Demonstrated capacity to design and implement fault-tolerant, high-availability systems that satisfy stringent performance and scalability requirements
Infrastructure as Code: Proficiency with declarative infrastructure provisioning tools such as Terraform, AWS CloudFormation, or the AWS Cloud Development Kit (CDK)
Observability Engineering: Experience with monitoring, structured logging, and distributed tracing methodologies to ensure operational integrity and system health