Backend System Development
- Design, develop, and maintain modular backend components
- Build both synchronous and event-driven services
- Implement core infrastructure: dynamic configuration, service discovery, and system orchestration
- Build asynchronous processing pipelines, background jobs, and event-driven workflowsbr
API Development & Management
- Design and maintain highly-available API endpoints (RESTful, GraphQL, gRPC)
- Ensure API reliability, versioning, and documentation standards across services
- Implement rate limiting, caching strategies, and API gateway patternsbr
Database & Data Architecture
- Design and implement database schemas and data models (relational, document, or hybrid)
- Optimize queries, manage migrations, and ensure data integrity across services
- Work with data engineers on ingestion, transformation, and serving layersbr
Infrastructure & Deployment
- Work with containerized deployments (Docker, ECS, EKS) and AWS cloud infrastructure
- Implement monitoring, logging, and alerting for backend servicesbr
Collaboration, Code Quality & Security
- Work closely with frontend, data, platform, and DevOps teams to deliver integrated solutions
- Contribute to architectural discussions and technical decision-making
- Mentor mid-level and junior engineers on backend engineering best practices
- Write high-quality, well-tested production code with comprehensive unit and integration tests
- Enforce security best practices: authentication, authorization, encryption, input validation
- Conduct and participate in code reviews to maintain code quality
Education: Bachelor's or Master's degree in Computer Science, Engineering, or a related field, or equivalent professional experience.
Experience: Minimum of 5 years in software engineering, with strong backend development expertise and a track record of building production systems.
Technical Skills:
- Strong proficiency in Java/Kotlin with hands-on experience in Spring Boot and the Spring ecosystem (Spring MVC, Spring Data, Spring Security, Spring Cloud)
- Solid understanding of system design: microservices, event-driven architecture, API design patterns, and data modeling
- Strong API development experience (RESTful, GraphQL, gRPC) including designing and maintaining highly-available endpoints
- Hands-on experience with AWS ECS, Lambda, SQS/SNS, RDS, DynamoDB, S3, API Gateway
- Experience with relational and NoSQL databases (PostgreSQL, DynamoDB, MongoDB, Redis, AWS Aurora)
- Practical experience with Docker, Kubernetes (EKS), and container-based deployments
- Familiarity with modern authentication schemes such as OAuth, JWTs, or cookies
- Strong testing practices: unit tests, integration tests, and familiarity with testing frameworks
- Strong understanding of database schema design, query optimization, and data modeling
- Excellent communication and leadership skills, adaptable, self-motivated, and capable of thriving in a fast-paced, unstructured startup environment
- Strong ownership mentality you ship it, you run it, you own it
