Software Engineer / Amazon-Native SDE – AI Agent & MCP Platform

Job Title: Software Engineer / Amazon-Native SDE – AI Agent & MCP Platform Location: 100% Remote Duration: 3–6 Months+ Interview Mode: Phone then Video Key Skills Java / C++ / TypeScript, Brazil, Pipelines, Apollo, Coral, MCP, Ada Agent, Quick Suite

Experience 5+ years Software Engineering; 3+ years Amazon Builder Tools; 1+ year AI Agent/MCP experience

POSITION OVERVIEW The Operational Excellence (OE) Platform Enablement & CI/CD team is scaling its core platform infrastructure to support modern agentic AI integrations and robust deployment workflows. This team is responsible for standardizing continuous integration/deployment pipelines and enabling internal microservices for Model Context Protocol (MCP) consumption across corporate AI platforms, including Ada Agent and Quick Suite.

Day-to-day Responsibilities

• Provision dedicated test accounts, access configurations, and test environments across native builder systems.
• Design, write, and execute comprehensive integration and load testing suites directly within Pipelines.
• Identify, refactor, and expose core microservice APIs to be Model Context Protocol (MCP) compliant.
• Update API metadata, fields, and tool naming schemas to ensure seamless endpoint parsing by AI agents.
• Register, enable, and maintain MCP endpoints across Ada Agent and Quick Suite MCP registries.
• Author AgentCards and custom agent descriptors to facilitate seamless agentic tool execution in Ada.
• Perform regular manual deployment support, dependency upgrades via Brazil version sets, and maintain pipeline health.
• Audit and remediate security and policy violations identified by Policy Engine and SAS compliance tools.
• Resolve low-severity operational tickets, minor defects, and technical debt items across platform services.

Top 3 Required Skills

• Software Engineering / Java / C++ / TypeScript (5+ years)
• Hands-on Amazon Internal Builder Tools expertise: Brazil (Version Sets), Pipelines, Apollo, and Coral (3+ years)
• AI Agent Frameworks & Model Context Protocol (MCP) / Ada Agent / Quick Suite integration (1+ years)

Additional Desired Skills

• Kiro IDE & BuilderHub environment experience
• Amazon Security & Policy Compliance Frameworks (Policy Engine, SAS, Gordian)
• Automated Integration & Load Testing in CI/CD environments
• Distributed Systems & Service-Oriented Architecture (SOA)

IDEAL CANDIDATE PROFILE The ideal candidate is an experienced Amazon-native developer or seasoned ex-Amazonian SDE who possesses deep, hands-on familiarity with Amazon’s proprietary build, versioning, and deployment stack (Brazil, Apollo, Pipelines). They thrive in platform engineering environments, have practical experience exposing microservice APIs for AI agent consumption via Model Context Protocol (MCP), and demonstrate a proactive mindset toward operational rigor and security compliance.

Job Responsibilities

• Provision dedicated test accounts, access configurations, and test environments across native builder systems.
• Design, write, and execute comprehensive integration and load testing suites directly within Pipelines.
• Identify, refactor, and expose core microservice APIs to be Model Context Protocol (MCP) compliant.
• Update API metadata, fields, and tool naming schemas to ensure seamless endpoint parsing by AI agents.
• Register, enable, and maintain MCP endpoints across Ada Agent and Quick Suite MCP registries.
• Author AgentCards and custom agent descriptors to facilitate seamless agentic tool execution in Ada.
• Perform regular manual deployment support, dependency upgrades via Brazil version sets, and maintain pipeline health.
• Audit and remediate security and policy violations identified by Policy Engine and SAS compliance tools.
• Resolve low-severity operational tickets, minor defects, and technical debt items across platform services.

Skills: java,compliance,amazon,security,software,integration