AI Automation Developer (Chandler)

Job Title: AI Automation Developer Duration: 18 Month W2 Contract Location: Chandler, AZ - Hybrid 3 day onsite Pay Scale: $80-$89/hour Position Overview Senior Software Engineer – AI-Driven Middleware Vulnerability Automation. We are seeking a Senior Software Engineer to help build an enterprise automation platform that identifies, prioritizes, tests, and supports remediation of vulnerabilities across Java middleware environments running on RHEL Linux. This role combines software engineering, automation, vulnerability management, middleware expertise, and AI-assisted development to improve the speed, accuracy, and scalability of vulnerability response processes. The ideal candidate will have hands‑on experience with LLMs, agentic AI workflows, automation engineering, testing frameworks, and enterprise middleware platforms . Key Responsibilities AI & Automation Engineering Design and develop intelligent automation workflows that identify vulnerabilities and map them to remediation actions. Build agent-based or AI-assisted workflows leveraging LLMs, generative AI tools, and AI coding assistants. Create automation solutions that improve vulnerability detection, remediation recommendations, testing, and release readiness. Continuously improve platform coverage, accuracy, and effectiveness through intelligent workflow enhancements. Vulnerability Management & Remediation Identify, prioritize, and track vulnerabilities across enterprise middleware environments. Evaluate issues based on severity, exploitability, business impact, and dependency context. Support remediation planning and execution by connecting vulnerability analysis to actionable fixes. Work with CVEs, vendor advisories, security scanning tools, and remediation workflows. Testing & Quality Engineering Define and automate regression, certification, and validation testing strategies. Execute, monitor, and improve automated test suites across middleware platforms. Generate release notes, testing evidence, certification artifacts, and readiness documentation. Enhance overall testing effectiveness and automation coverage. Middleware & Platform Engineering Support and automate enterprise Java middleware environments. Build scalable engineering solutions and reference architectures. Troubleshoot, package, deploy, and maintain middleware applications on RHEL Linux. Integrate automation capabilities into existing middleware and release management processes. DevOps & CI/CD Integrate solutions into CI/CD pipelines and release automation frameworks. Utilize configuration management and infrastructure automation tools such as Ansible. Support enterprise deployment, packaging, and release management processes. Required Qualifications AI & Agentic AI Experience Hands‑on experience with: LLMs (Large Language Models) Generative AI tools AI coding assistants Agentic AI workflows Intelligent automation solutions Experience implementing AI-driven workflows within software delivery or engineering environments. Software Engineering & Automation Strong background in: Software Engineering Automation Engineering Platform Engineering Experience developing automation solutions using: Python Java Ansible Testing Experience Experience designing and executing automated testing strategies. Understanding of regression testing, certification testing, and release validation. Familiarity with test automation frameworks. CI/CD & DevOps Experience integrating solutions into CI/CD pipelines. Knowledge of release automation and deployment processes. Familiarity with infrastructure automation and configuration management practices. Vulnerability Management Strong understanding of: Vulnerability identification Risk prioritization Remediation workflows Security scanning ecosystems CVEs and vendor advisories Preferred Qualifications Enterprise Middleware Expertise Deep experience supporting and troubleshooting Java middleware platforms, including: Apache Server Apache Tomcat JBoss EAP Oracle WebLogic IBM WebSphere Java Runtime Environments (JRE/JDK) Linux & Enterprise Infrastructure Strong experience with RHEL Linux. Experience building, packaging, and deploying software in enterprise environments. Knowledge of cloud and hybrid infrastructure environments. Additional Preferred Skills Cucumber/Gherkin test automation frameworks Infrastructure-as-Code (IaC) Configuration management tools Enterprise release, artifact, and certification management processes Multi-tier enterprise application environments Ideal Candidate Profile The ideal candidate is a senior engineer who combines: AI/Agentic AI development experience Python and/or Java development expertise Middleware engineering knowledge Vulnerability management and security remediation experience Automated testing background CI/CD and Ansible experience RHEL Linux administration and troubleshooting skills This person should be comfortable building intelligent automation platforms that bridge vulnerability detection, remediation guidance, automated testing, and release readiness within large‑scale enterprise environments. Benefits Health, vision, and dental insurance (single and family coverage) 401(k) plan (employee contributions only) Equal Opportunity Statement Matlen Silver is an Equal Opportunity Employer and considers all applicants for all positions without regard to race, color, religion, gender, national origin, age, sexual orientation, veteran status, the presence of a non‑job‑related medical condition or disability, or any other legally protected status. If you are a person with a disability needing assistance with the application or at any point in the hiring process, please contact us at View email address on click.appcast.io // View phone number on click.appcast.io. #J-18808-Ljbffr The Matlen Silver Group, Inc.