NOUFAL NAZAR

Dynamic Lead Software Engineer with over 7 years of experience, specializing in AWS solutions and cloud-native applications. Demonstrated expertise in designing secure, scalable infrastructures that enhance application performance. Proficient in Python and API design, with a strong collaborative approach to delivering high-quality, enterprise-grade software solutions. Committed to leveraging technical skills to drive innovation and efficiency in software development.

• Shooting Star – Awarded for outstanding collaboration and dedication while working on the New Workflow System project.
• Nova Star – Recognized for refactoring and modernizing integrations in the Old Workflow System.
• Rising Star – Received multiple awards for active collaboration and contributions to cultural and organizational activities.

Old Workflow System | Annuity Management Client (UST)| 2019-2024

• First major project at UST, supporting a leading annuity management company in the US.
• Worked extensively with Docupace, a third-party document storage and workflow management platform.
• Integrated multiple source systems (including ALIP) to sync with Docupace using 25+ integrations spanning event-driven systems, nightly batch cycles (Control-M), and API services.
• Initially operated on on-premise Linux servers; contributed to migration efforts by containerizing workloads with Docker and orchestrating via EKS.
• Led the transition to AWS Cloud, designing and implementing critical services with focus on scalability, high availability, and secure workflows.
• Recognized as a key contributor in modernizing the platform from on-prem to fully cloud-based architecture.

New Metadata-based Workflow System | Annuity Management Client (UST Global) | 2024-Present 

• Designed and developing a metadata-driven workflow system to overcome limitations of Docupace in handling high data loads.
• Architected as a near real-time application leveraging AWS Step Functions, Lambda, DynamoDB, S3, and supporting cloud services.
• Focused on building a highly scalable, cost-efficient, and maintainable system capable of streamlining complex workflows.
• Expected to reduce manual processing by up to 75%, enabling faster operations and improved reliability. Key contributor in shaping the system architecture, ensuring it meets enterprise standards for security, performance, and flexibility.