Senior Software Engineer
Build and scale high-performance backend services and microservices for a platform serving millions of users. The role requires strong Node.js expertise, distributed-systems experience, and technical leadership, with Java, cloud, and AI-assisted development experience preferred.
About the job
Responsibilities
- Design, develop, and maintain scalable backend services and APIs using Node.js and related frameworks.
- Architect and implement microservices handling high-volume traffic and complex business logic.
- Use AI-assisted development tools such as Claude, Cursor, and GitHub Copilot to accelerate development, improve code quality, and solve technical challenges.
- Collaborate with cross-functional teams to define, design, and ship features.
- Optimize application performance, scalability, and reliability.
- Write clean, maintainable, well-tested code.
- Participate in code reviews and mentor junior engineers, including on effective use of AI assistance tools.
- Troubleshoot and resolve production issues in distributed systems.
- Contribute to technical architecture and system design decisions.
- Implement monitoring, logging, and alerting for backend services.
- Stay current with emerging technologies and industry best practices.
Requirements
- Bachelor's degree in Computer Science, a related field, or equivalent practical experience.
- 6+ years of backend software development experience using Node.js and Angular.
- 3+ years of experience designing, analyzing, and troubleshooting large-scale distributed systems.
- 2+ years of experience leading projects and providing technical leadership.
- Strong expertise in Node.js frameworks and technologies.
- Experience with RESTful API design and microservices architecture.
- Proficiency with relational and NoSQL databases, including MongoDB.
Nice-to-Haves
- Master's degree in Computer Science or Engineering.
- Java backend development experience.
- Experience with Claude, Cursor, GitHub Copilot, or similar AI-assisted development tools.
- Experience using AI technologies to improve productivity, code quality, and problem-solving.
- Experience with AWS, Google Cloud, or Azure.
- Knowledge of Docker and Kubernetes.
- Experience with CI/CD pipelines and DevOps practices.
- Familiarity with Kafka or RabbitMQ.
- Experience with performance optimization and scalability.
- Understanding of software design patterns and clean code principles.
Compensation
- Base salary: $140,000–$220,000 USD annually.
- Additional compensation, including bonus, commission, equity, and benefits, may apply.
Skills
Node.js, Angular, Java, REST APIs, Microservices, MongoDB, AWS, GCP, Azure, Docker, Kubernetes, CI/CD, Kafka, RabbitMQ, Github Copilot
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