Senior Application Engineer

This position centers on owning and advancing a complex portfolio of business applications. The engineer ensures systems remain highly available and performant, drives integrations and technology implementations, delivers advanced support, and strengthens operational resilience through documentation and cross-training.

Core Responsibilities

• Own and maintain enterprise business applications, focusing on reliability, performance, and operational continuity.
• Deliver advanced troubleshooting and Tier 3 support to resolve issues quickly and minimize business impact.
• Lead the implementation and integration of new applications and supporting technologies, including AI-driven tools and services.
• Deploy, configure, and manage containerized services and AI-related platforms in production environments.
• Administer identity, access controls, and security for business applications while supporting compliance requirements.
• Build and maintain reporting and analytics solutions using SQL and visualization tools, ensuring data quality and accessibility.
• Collaborate with vendors and internal teams to support initiatives, resolve issues, and improve service delivery.
• Create and maintain documentation while facilitating knowledge sharing and cross-training across the team.
• Support continuity planning and backup coverage to reduce risk and maintain consistent application support.

• Candidates must have a bachelor's degree in IT, Computer Science, or a related field (or equivalent experience) along with at least five years of hands-on experience managing enterprise business applications in complex, multi-system environments., * Strong experience with system integrations using REST APIs, webhooks, and middleware or iPaaS platforms such as Azure Integration Services and Power Automate.
• Experience working with generative AI tools and platforms, including Copilot Studio, Claude, and OpenAI.
• Proficiency with SQL, relational databases, and Power BI (or comparable BI tools). Familiarity with data warehousing or ETL processes is advantageous.
• Solid scripting ability in Python and PowerShell for automation and support tasks.
• Knowledge of Entra ID, SSO/SAML, OAuth 2.0, and role-based access control for enterprise identity management.
• Practical experience deploying and managing Docker containers in Azure, including MCP server setups, endpoint configuration, secrets management with Azure Key Vault, and integration with AI platforms.
• Strong diagnostic skills with the ability to perform root-cause analysis across applications, integrations, and infrastructure. Experience with Azure Monitor and Log Analytics is expected.
• Clear communication and documentation skills, with the ability to explain technical concepts to non-technical audiences., * Hands-on production experience with Docker containers.
• Familiarity with AI-enabled security or operations platforms.
• Exposure to Agile/Scrum methodologies and IT service management frameworks such as ITIL.
• Microsoft certifications such as AZ-104, PL-200, SC-300, or AI-900.