Backend Engineer

Responsibilities: 

• Design, build, and maintain scalable backend services using Java and Spring Boot 

• Contribute to system design discussions and translate requirements into working solutions 

• Build reliable and resilient systems with a focus on performance, scalability, and fault tolerance 

• Write clean, maintainable, and well-tested code adhering to engineering best practices 

• Troubleshoot production issues, identify root causes, and implement fixes with minimal impact 

• Collaborate cross-functionally with product, design, and platform teams to deliver features end-to-end 

• Participate in code reviews and contribute to improving engineering standards 

• Work with DevOps teams to support CI/CD pipelines and cloud deployments (Kubernetes) 

• Contribute to technical documentation, design decisions, and operational runbooks 

• Actively participate in Agile ceremonies and deliver high-quality work within sprint timelines 

• Take ownership of services in production, ensuring reliability, latency, and SLA adherence 

About You: 

• Bachelor’s degree in Computer Science or equivalent practical experience 

• ~3+ years of professional software development experience 

• Strong proficiency in Java and good working knowledge of Spring Boot 

• Experience building RESTful APIs and backend services 

• Familiarity with microservices architecture and distributed systems fundamentals 

• Hands-on experience with messaging systems (e.g., Kafka, RabbitMQ) 

• Working knowledge of relational databases (MySQL/Postgres) and basic NoSQL systems (Redis, MongoDB) 

• Exposure to cloud-native environments (Docker, Kubernetes) 

• Familiarity with engineering practices: Git, CI/CD, and automated testing 

• Strong problem-solving skills and ability to work in a collaborative environment 

• Experience owning features or services from development through production deployment 

Nice to have: 

• Exposure to event-driven architectures or streaming systems 

• Experience working on high-scale or low-latency systems 

• Familiarity with observability tools (monitoring, logging, tracing) 

• Exposure to big data technologies (Spark, Hadoop) 

• Familiarity with AI-assisted developer tools (e.g., Copilot, ChatGPT)