Senior Application Engineer with Python and FastApi

• The Senior Application Engineer will augment the project team to investigate and resolve defects across backend services, n8n workflows, database operations, and enterprise integrations. The role requires hands-on expertise in Python, FastAPI, n8n, PostgreSQL, and containerized applications on Microsoft Azure.
• The engineer will support the application throughout development (DEV), System Integration Testing (SIT), User Acceptance Testing (UAT), production (PROD), and post-production monitoring. The role will collaborate with development, QA, business, infrastructure, and support teams to deliver tested fixes, support controlled releases, and maintain reliable application and workflow execution.
• Responsibilities
• Investigate, reproduce, and resolve defects in FastAPI services, business decision rules, PostgreSQL operations, and integrations with the Loan Origination System (LOS) and other enterprise services.
• Develop, maintain, and troubleshoot n8n workflows, including triggers, webhooks, API calls, expressions, JavaScript code nodes, data transformations, conditional routing, and reusable sub-workflows.
• Resolve workflow issues involving sequencing, retries, timeouts, duplicate processing, error handling, and human-in-the-loop approval and resumption.
• Perform root cause analysis using application logs, n8n execution histories, API responses, and database queries; document findings, corrective actions, and validation evidence.
• Implement and validate fixes in DEV; support SIT integration testing and UAT business validation, including defect triage, retesting, and regression testing.
• Support promotion of application code, n8n workflows, database migrations, and environment-specific configurations across DEV, SIT, UAT, and PROD, following approved release and change-management procedures.
• Support Docker image builds, Azure Container Registry (ACR) image management, deployment troubleshooting, production smoke testing, and rollback activities in coordination with infrastructure teams.
• Conduct post-production monitoring and hypercare, reviewing workflow failures, API errors, processing delays, retry behavior, and application performance; investigate incidents and verify recovery.
• Maintain technical documentation, defect records, release notes, and operational runbooks; provide knowledge transfer to BPI‚Äôs development and support teams.

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