Senior Python Full Stack Engineer

Role: Senior Python Full Stack Engineer with IBM AI Use Case exp.

Location: Oaks, PA

Mode of Hire: Full Time The Senior Full Stack will provide hands-on application support, maintenance, defect resolution, and minor enhancements for IBM Use Cases. This engineer will serve as the team's primary application-code specialist and work closely with the two Senior DevOps Engineers to resolve production issues.

Responsibilities

• Provide L2/L3 application support and code-level troubleshooting for IBM Use Cases.
• Diagnose and resolve defects across Python backend services, REST APIs, UI components, database interactions, integrations, and AI-enabled functionality.
• Analyze production incidents using code, logs, telemetry, database queries, API traces, and application configurations.
• Implement bug fixes, maintenance releases, technical-debt remediation, and small enhancements.
• Develop and maintain Python/FastAPI services and API integrations with other applications and platforms.
• Maintain and troubleshoot data access across Cosmos DB, SQL Server, PostgreSQL, and related Azure storage services.
• Support front-end code where applicable.
• Write and maintain unit, integration, API, and regression tests.
• Support secure coding, dependency upgrades, vulnerability remediation, configuration management, and application performance improvements.
• Understand and support AI-enabled workflows, including integration with models/services, prompt or configuration changes where applicable, error handling, and monitoring.
• Partner with DevOps engineers on deployments, monitoring, production diagnostics, RCA, and automation.
• Keep technical documentation and operational runbooks current as the applications evolve.

Required Skills

• 7+ years of full-stack or backend application development/support experience.
• Strong Python development skills, preferably including FastAPI.
• Strong experience building and consuming REST APIs.
• Experience with a modern web framework such as React or Angular.
• Hands-on experience with Microsoft Azure.
• Database experience across relational and NoSQL platforms, ideally SQL Server, PostgreSQL, and Cosmos DB.
• Experience troubleshooting distributed/cloud-native applications in production.
• Knowledge of automated testing, Git, CI/CD, application security, and observability.
• Experience supporting AI/ML or GenAI-enabled applications is highly desirable.