Steve Ngepi

Steve Ngepi

Middle Back End Developer @ Планета Кiно

About

Backend engineer who cares about clean architecture, strong tests, and smooth production — 3+ years in the field. I work with different databases (PostgreSQL, MongoDB, ClickHouse, Redis) and message brokers (Kafka, RabbitMQ), and I’m always exploring new technologies. I care about clean architecture, strong tests, and smooth production operations. I enjoy working with cloud-native tools (Docker, Kubernetes) and finding solutions that improve system reliability and performance.

Country

-

City

Ukraine

Industry

Computer Software

Skill

Go (Programming Language), NodeJS, TypeScript, JavaScript, SQL, Terraform, Amazon Web Services (AWS), Apache Kafka, WebSocket, REST APIs, GraphQL, Node.js, PostgreSQL, Redis, gRPC, MongoDB, Google Cloud Platform (GCP), Message Broker, Data Structures, Algorithms

Experience

Планета Кiно

Middle Back End Developer

Планета Кiно

LinkedIn
2025-6 - 2025-11 · 6 mos

Ukraine

Onix-Systems

Software Engineer

Onix-Systems

LinkedIn
2022-2 - 2025-1 · 3 yrs

Kropyvnytskyi, Kirovohrad, Ukraine

- Developed and implemented a comprehensive backend testing strategy (unit, integration, end-to-end) using Jest and WebDriverIO, achieving 90–95% coverage. Integrated it into CI/CD pipelines, reducing production bugs by ~30% and speeding up release cycles. - Configured Dockerized database environments for integration and E2E testing—ensuring isolated, repeatable, and reliable test runs. - Architected a Kafka-based microservice for asynchronous email delivery, achieving 99%+ reliability under heavy load and reducing delivery latency by ~25% through SendGrid and HubSpot. - Migrated analytics infrastructure from InfluxDB to MongoDB, cutting infrastructure costs and boosting analytical query performance by ~25% via optimized indexing and query tuning. - Refactored the metadata-driven response assembly engine (used in Ask YOGI’s backend for generating astrological insights) by restructuring logic and applying caching/memoization. This cut average response build time by ~20% under peak loads—resulting in faster personalized horoscope delivery. - Enhanced backend query performance with precomputed indices and conditional joins, reducing query times by ~15% without increasing infrastructure load. - Built and maintained scalable real-time backend systems to deliver personalized astrological forecasts, ensuring responsiveness, stability, and accuracy as user demand and data complexity grew.

Education

Central Ukrainian National Technical University

Central Ukrainian National Technical University

LinkedIn

Electrical and Electronics Engineering

2020 - 2025 · 5 yrs

Steve Ngepi's Contact Information

Email

******@***.com

Phone

(**) *** ****

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