Jude Mgbeji

I am a Senior Software Engineer with over 8 years of experience designing, developing, and maintaining highly reliable, scalable, and fault-tolerant software systems across FinTech and telecommunications industries. I specialize in backend engineering, microservice architecture, API development, cloud-native solutions, and secure software delivery, with a strong track record of building enterprise systems that support millions of users and high-volume transactions.

In my current role at Ericsson (via GlobalLogic UK), I contribute to the architecture, development, and maintenance of mobile network node management solutions within Ericsson’s network management ecosystem. I perform end-to-end vulnerability management by analyzing CVEs using Nessus and NVD/NIST data, coordinating remediation and patching plans through Jira, and validating fixes across SUSE Linux environments, Docker containers, and JFrog repositories. I have also led a team of five engineers on major 5G and Open RAN alliance projects, improving system efficiency by 20%, resolving critical production issues, and reducing downtime through root cause analysis and proactive system improvements. Additionally, I ensure software quality through extensive automation, unit, and integration testing.

Previously at Moniepoint Inc., I supervised and mentored engineering teams while delivering core financial products serving over 1.3 million merchants. I designed and developed a business loans solution managing a $3M loan portfolio, built a customer savings platform with flexible savings plans, and engineered an FX transaction system supporting over 100,000 monthly cross-border transactions. These solutions enhanced financial accessibility and improved transaction efficiency at scale.

At Interswitch Limited, I worked on backend systems and big data pipelines supporting high-throughput payment processing. I built scalable data streaming solutions using Kafka, MongoDB, and Apache Spark, reducing processing time by 40%. I also contributed to dispute management platforms, automated business reporting from a 5TB data lake, and helped develop a settlement engine capable of processing over 100 million transactions daily with 99.9% accuracy.

My technical expertise includes Java, Spring Boot, Python, JavaScript, distributed systems, event-driven architectures (Kafka, RabbitMQ), and database technologies such as PostgreSQL, MySQL, DynamoDB, and MongoDB. I am also skilled in DevOps tools including Docker, Kubernetes, Jenkins, Spinnaker, and AWS. In addition, I have growing expertise in AI/ML technologies such as TensorFlow, PyTorch, HuggingFace, NLP, Transformers, RAG, and LLM fine-tuning.

Beyond technical contributions, I am passionate about mentoring engineers, leading teams, driving architectural decisions, and delivering secure, scalable systems that create measurable business impact.