AI Agent Developer SDLC Acceleration
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AI Agent Developer SDLC Acceleration in Fort Mill, SC, with a contract length of "unknown" and a pay rate of "unknown." Key skills include AI agent design, DevSecOps, CI/CD tools, and cloud platforms.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
-
🗓️ - Date discovered
August 20, 2025
🕒 - Project duration
Unknown
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🏝️ - Location type
On-site
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
Fort Mill, SC
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🧠 - Skills detailed
#Azure DevOps #DevSecOps #Azure #Jenkins #Observability #Automation #Documentation #Kubernetes #Monitoring #AWS (Amazon Web Services) #GitHub #Cloud #AI (Artificial Intelligence) #DevOps
Role description
Role Name: AI Agent Developer SDLC Acceleration
Location: Fort Mill / Fort Mill / SC
Job Description
Primary Skill Set
• Design and implement AI agents to assess (requirement analysis, user story creation, documentation).
• Build agents to design, code, unit test, and enable DevSecOps automation.
• Develop validation agents for functional test cases, automation scripts, and test data generation.
• Create observability agents for AIOps, efficiency measurement, and unified monitoring dashboards.
• Integrate LLMs and automation pipelines into enterprise SDLC workflows.
• Collaborate with clients to gather requirements, demonstrate solutions, and drive adoption.
Secondary Skill Set
• Experience with CI/CD tools (GitHub Actions, Jenkins, Azure DevOps).
• Knowledge of cloud platforms (AWS, Azure) and container orchestration (Kubernetes, OpenShift).
• Familiarity with software testing frameworks and QA automation tools.
• Strong understanding of AIOps platforms, observability tools, and performance monitoring.
• Excellent communication and presentation skills for executive and technical audiences.
Role Name: AI Agent Developer SDLC Acceleration
Location: Fort Mill / Fort Mill / SC
Job Description
Primary Skill Set
• Design and implement AI agents to assess (requirement analysis, user story creation, documentation).
• Build agents to design, code, unit test, and enable DevSecOps automation.
• Develop validation agents for functional test cases, automation scripts, and test data generation.
• Create observability agents for AIOps, efficiency measurement, and unified monitoring dashboards.
• Integrate LLMs and automation pipelines into enterprise SDLC workflows.
• Collaborate with clients to gather requirements, demonstrate solutions, and drive adoption.
Secondary Skill Set
• Experience with CI/CD tools (GitHub Actions, Jenkins, Azure DevOps).
• Knowledge of cloud platforms (AWS, Azure) and container orchestration (Kubernetes, OpenShift).
• Familiarity with software testing frameworks and QA automation tools.
• Strong understanding of AIOps platforms, observability tools, and performance monitoring.
• Excellent communication and presentation skills for executive and technical audiences.
