GenAI DevOps Engineer – AI Engineer

Simple Software Solutions Group, Inc

. Design, develop, and implement AI agents using the Claude Agent SDK .

Posted 10/22/2026contractJacksonville • Florida • United StatesSeniorLeadWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates extensive experience in AI agent development and deployment, particularly using the Claude Agent SDK and AWS Bedrock. Proficient in building CI/CD pipelines and managing cloud security within the AWS ecosystem.

Highest-signal resume keywords

AI Agent DevelopmentClaude Agent SDKAWS Bedrock AgentCore RuntimeCI/CD Pipeline DevelopmentPython or TypeScript Coding

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI Agent DevelopmentClaude Agent SDKAWS Bedrock AgentCore RuntimeCI/CD Pipeline DevelopmentPythonTypeScriptAPI IntegrationAWS IAMDockerCloud Security

Tools & Technologies

GitHub ActionsAmazon BedrockMCP IntegrationsTool Calling

Industry Keywords

GenAIAgentic AIProduction SupportMonitoringTroubleshootingOptimizationSecure AuthenticationLoggingObservability

Tech Stack

Tools & technologies

AWSCloudDockerPythonTypeScript

About the role

Key responsibilities & impact

Design, develop, and implement AI agents using the Claude Agent SDK
Build agent workflows using Python or TypeScript, including tool calling, MCP integrations, and API orchestration
Deploy and manage AI agents on Amazon Bedrock AgentCore Runtime
Develop automated CI/CD pipelines using GitHub Actions for agent builds, testing, and deployments
Configure AWS IAM, ECR, Docker/container packaging, and cloud security
Monitor, troubleshoot, and optimize production AI agent performance
Implement secure authentication, logging, monitoring, and observability
Support a role split of approximately 60% AI agent development and 40% DevOps/CI/CD engineering
Travel to client sites for workshops and meetings

Requirements

What you’ll need

10–15+ years of overall experience
6–8 years building AI agents and deploying them into production on AWS
Hands-on GenAI or agentic AI development experience
Hands-on AI agent development using the Claude Agent SDK
Experience deploying and configuring agents on Amazon Bedrock AgentCore Runtime
Ability to build CI/CD pipelines independently using GitHub Actions
Strong Python or TypeScript coding and API integration skills
AWS Bedrock model integration and AWS ecosystem knowledge
Experience with AWS IAM, ECR, Docker/container packaging, and cloud security
Experience with MCP integrations and tool calling
Experience with monitoring, troubleshooting, optimization, secure authentication, logging, observability, and production support
Western time-zone location required
Must be comfortable traveling to the client site for workshops/meetings

Benefits

Comp & perks

Remote/hybrid work arrangement
Travel to client sites for workshops/meetings