Oreoluwa Onyekwere
@oreoluwaonyekwere
Backend engineer focused on scalable Java/Spring Boot systems and database optimization.
What I'm looking for
I am a backend software engineer with over two years of professional experience building scalable, high-performance systems using Java and Spring Boot. I have focused on reducing technical debt and improving system efficiency through code refactoring and optimized data practices.
At Mocx Smart Technologies I engineered and maintained a modular monolith backend supporting 250+ internal users, implemented MapStruct for auto-mapping, and improved API response times using data projections and strict Java conventions. I designed optimized PostgreSQL schemas and integrated Redis for low-latency caching to enhance operational performance.
I contribute across the full development lifecycle: writing technical specifications, collaborating with product managers, participating in Agile/Scrum ceremonies, and using Git/GitHub for version control and code reviews. I also write unit tests with JUnit and employ containerization with Docker to streamline deployment.
I hold a BSc in Computer Science (Computer Information Systems) with relevant coursework in data structures, OOP, databases, and software engineering, and I am pursuing Oracle Certified Professional: Java SE 21 Programmer. I seek to bring modular architecture and practical backend expertise to a growing engineering team.
Experience
Work history, roles, and key accomplishments
Junior Backend Engineer
Mocx Smart Technologies Ltd
Mar 2024 - Present (1 year 11 months)
Engineered and maintained a modular monolith backend with Java and Spring Boot supporting 100+ internal users; optimized API response times and reduced deployment complexity through MapStruct, projections, and schema tuning.
Education
Degrees, certifications, and relevant coursework
Adeleke University
Bachelor of Science, Computer Information Systems
2021 - 2025
Grade: 4.15/5.0
Bachelor of Science in Computer Science (Computer Information Systems) with coursework in data structures, OOP, database management, software engineering, and systems analysis.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Job categories
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