Faiza JibrilFJ
Open to opportunities

Faiza Jibril

@faizajibril

Backend Engineer with expertise in Java microservices and cloud solutions.

United Kingdom

What I'm looking for

I am looking for a role that fosters innovation, encourages collaboration, and offers opportunities for professional growth in backend development and cloud technologies.

As a Backend Engineer with over 3 years of experience, I specialize in building secure and scalable Java microservices in high-throughput environments. At JP Morgan, I engineered distributed systems that handle over 2 million transactions per day, integrating message queues like Kafka and ActiveMQ, and designing REST APIs for regulated finance workflows. My passion lies in delivering robust backend components with CI/CD pipelines using Jenkins and Maven, along with containerized deployments via Docker and Kubernetes.

I am AWS Certified and have a strong commitment to building developer-friendly infrastructure for modern SaaS platforms. My experience includes automating CI/CD pipelines, which reduced deployment time by 60%, and creating internal tools that decreased support tickets by 40%. I thrive in cross-functional Agile teams, ensuring that features are delivered on time and meet business needs.

Experience

Work history, roles, and key accomplishments

JM
Current

Software Engineer

JP Morgan

Jan 2023 - Present (2 years 5 months)

Engineered backend microservices using Java, Spring Boot, and JPA to support internal payment workflows and daily reconciliation processes, processing over 2M+ transactions per day. Automated CI/CD pipelines using Jenkins, GitHub, and Maven, reducing deployment time by 60%.

Education

Degrees, certifications, and relevant coursework

University of Bolton logoUB

University of Bolton

MSc – Data Analytics and Technologies, Data Analytics and Technologies

Grade: Distinction

Completed a Master of Science in Data Analytics and Technologies, achieving a Distinction. Focused on practical applications of data science, including anomaly detection in transactions using genetic algorithms and developing a churn prediction pipeline with 86.5% accuracy. Also created an inventory forecasting regression model with 98% accuracy for an eCommerce firm.

Nile University of Nigeria logoNN

Nile University of Nigeria

B.Eng – Computer Engineering, Computer Engineering

Grade: 4.87/5.0

Activities and societies: IEEE Publication: Heart Rate Monitoring & Detection System

Earned a Bachelor of Engineering in Computer Engineering with a CGPA of 4.87/5.0. Engaged in research and published an IEEE paper on a Heart Rate Monitoring & Detection System.

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