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Quality Healthcare Staffing SR TECHNICAL LEAD, in NEW YORK, New York

Collaborate with cross-functional teams to define project scope, requirements, and deliverables. Foster a culture of continuous improvement with best practices, processes, and tools. Ensure compliance with Citywide Cyber Security policies and OTI technical standards. Lead and participate in technical reviews, including infrastructure configuration and code reviews. Oversee the successful completion of Technical and Operational Design Peer Reviews. Ensure microservices adhere to industry best practices in protocols and methodologies. Address and mitigate security vulnerabilities across projects. Manage application deployments in both production and non-production environments. Implement security enhancements for applications as needed. Use cloud provider tools like Azure and AWS for observability and triaging. Utilize CI/CD and project management tools like Azure DevOps for process efficiency. Conduct analysis, requirements gathering, defect fixes, and solution development. Use source code quality and security tools for static and dynamic analysis. Maintain comprehensive project documentation throughout the development lifecycle. 12+ years of experience managing technical teams and software development using Java and cloud infrastructure. Hands-on expertise with Azure Services (e.g., ACA/AKS, Azure VMs, Azure Functions). Proficiency with Docker, JFrog Artifactory, Veracode, SonarQube, and similar tools. Strong knowledge of Azure DevOps, Java frameworks (Spring, Spring Boot), and build tools (Maven, Gradle). Familiarity with front-end technologies (React.js, HTML, CSS, JavaScript). Expertise in security protocols such as HTTPS, SAML, OpenID, OAuth. Experience with relational databases (e.g., Microsoft SQL Server, Oracle, PostgreSQL). Proficiency in monitoring tools for Azure services and custom applications. Excellent communication skills and ability to collaborate effectively. Self-motivated and a team player. Knowledge of Azure AI Services and Azure Machine Learning. Experience with monitoring tools like Elastic and Dynatrace. Familiarity with .NET applications, Microsoft Dataverse, Salesforce, and web content management systems. Extensive experience in architecting and developing Java applications and microservices.

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