• Develop, test, and deploy full-stack enterprise Java applications using a microservices architecture with Spring Boot, RESTful APIs, and front-end technologies including Vaadin, Thymeleaf, and Bootstrap/HTML5 to support contact center operations. • Design and implement microservices following best practices including API gateway patterns, service discovery, circuit breakers, and inter-service communication via REST and messaging. • Build and maintain microservices with containerized deployments using Docker and orchestration via Kubernetes for both on-premise and Google Cloud Platform (GCP) environments. • Provide Level 3 (L3) production support by performing root cause analysis, diagnosing complex application and integration issues, and implementing timely fixes to restore service. • Serve as the escalation point for issues that cannot be resolved by L1/L2 support teams. • Develop and customize Cisco Finesse agent desktop integrations, gadgets, and workflows, including working with the Finesse API and extending agent and supervisor desktop capabilities. • Perform customization and configuration of Coral Interactive (softphone) solutions to enhance agent communication and call handling workflows. • Write and optimize SQL queries, stored procedures, and data access layers to integrate with PostgreSQL (primary), SQL Server, and Informix databases. • This role does not include database administration responsibilities. • Develop against and integrate with Cisco Unified Contact Center Enterprise (UCCE) and Cisco Customer Voice Portal (CVP) for IVR routing, call flow logic, and VXML application development. • Work with Genesys Platform SDK (PSDK) for integration with Genesys contact center environments, including familiarity with Genesys Voice Portal (GVP) for IVR development. • Integrate applications with Microsoft Active Directory (Azure AD/Entra ID) for authentication, authorization, single sign-on (SSO), and identity management workflows. • Deploy, configure, and manage applications on Google Cloud Platform (GCP) and on-premise infrastructure, leveraging cloud-native services for scalability, monitoring, and reliability. • Utilize Splunk for application monitoring, log analysis, troubleshooting production issues, and building operational dashboards and reports to support L3 support functions. • Actively leverage AI-powered development tools (e.g., GitHub Copilot, Grok, Claude) to accelerate development workflows, improve code quality, generate documentation, and enhance productivity. • Collaborate with project managers, product owners, QA engineers, and fellow developers as part of project and product teams to deliver features on schedule and to specification. • Participate in code reviews, architectural discussions, and technical design sessions to maintain high standards of code quality and system reliability. • Create and maintain technical documentation including design specifications, API documentation, runbooks, troubleshooting guides, and deployment procedures. • Proactively identify and resolve technical debt, performance bottlenecks, and security vulnerabilities across the application stack.