Backend Engineer

Responsibilities:

• Design and develop scalable, well-tested, and high-performance backend features and services primarily using NESTJS (Node.js/TypeScript).
• Take ownership of the full development lifecycle for assigned features, including technical design, implementation, testing, and deployment.
• Optimize and refine database interactions with MongoDB, including schema design advice, query optimization, and indexing strategies.
• Implement and manage efficient caching solutions using Redis to improve application performance and reduce database load.
• Proactively monitor, diagnose, and resolve complex issues and performance bottlenecks in existing backend services.
• Lead by example in code quality by writing clean, maintainable, and highly documented code, adhering strictly to best practices and architectural patterns.
• Actively participate in and lead code reviews, providing constructive, actionable feedback to peers and junior engineers.
• Utilize and manage CI/CD pipelines and deployment processes on Google Cloud Platform (GCP), including familiarity with Docker and basic Kubernetes concepts.
• Collaborate effectively with Front-End, QA, and Product teams to clarify requirements and ensure seamless integration of APIs.
• Mentor and guide junior engineers on best practices, tooling, and navigating the team's technology stack.
• Maintain and update technical documentation, ensuring accuracy and clarity for both new and existing systems.
• Participate in technical discussions and contribute viable solutions to architectural challenges.

Requirements:

• Minimum of BSc/BA/HND in Computer Science, Software Engineering, Information Technology, or a related field.
• Minimum of 3–5 years of progressive professional experience in backend development.
• Proven professional proficiency in Node.js, TypeScript, and the NestJS framework for building scalable backend services.
• Demonstrated experience in data modeling, optimization, and operation with MongoDB (NoSQL).
• Hands-on experience implementing and utilizing Redis for caching, task queuing, or session management.
• Solid working experience with the Google Cloud Platform (GCP) for deploying, monitoring, and scaling services (e.g., Cloud Run, Cloud Functions, Pub/Sub, IAM).
• Experience with Docker is required; familiarity with Kubernetes is a strong advantage.
• Strong understanding of RESTful API design principles, security practices (OAuth, JWT), and system integration patterns.
• Proven ability to troubleshoot, debug, and resolve complex issues across a multi-service architecture.
• Experience working effectively within Agile/Scrum methodologies.

Work Mode: Fully Remote.