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AI Backend Developer, Java, Golang, Python
BinanceBackend Developer for Binance Square building high-performance services and AI pipelines. Collaborating with cross-functional teams to enhance content discovery and recommendations for millions of users.
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in backend software development with a strong focus on Java and microservices architecture, integrating AI technologies, and optimizing data pipelines for high-performance systems. Proven ability to collaborate effectively in cross-functional teams while advocating for engineering best practices.
Highest-signal resume keywords
Java DevelopmentMicroservices ArchitectureAI/LLM IntegrationRelational DatabasesCloud Infrastructure
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Backend Software DevelopmentMicroservicesData StructuresAlgorithmsSystem Design
Soft Skills
Effective CommunicationIndependent Work
Tools & Technologies
AWSGCPAzureDockerKubernetesMySQLPostgreSQLKafkaRabbitMQRedis
Certifications & Qualifications
Bachelor's Degree in Computer ScienceMaster's Degree in Engineering
Industry Keywords
Content DiscoveryRecommendation PipelinesAI-Powered FeaturesData IngestionReal-Time Analytics
Tech Stack
Tools & technologiesAWSAzureCloudDockerGoGoogle Cloud PlatformJavaKafkaKubernetesMicroservicesMySQLPostgresPythonRabbitMQRedis
About the role
Key responsibilities & impact- Design, develop, and maintain high-performance backend services for the Binance Square product, focusing on content discovery, recommendation pipelines, and AI-powered features
- Build and operate scalable microservices handling millions of daily requests, ensuring reliability, low latency, and graceful degradation under peak load
- Integrate Large Language Models (LLMs) and AI/ML pipelines into production backend systems, including RAG architectures, prompt orchestration, and agentic workflows
- Collaborate closely with Product Managers, Data Scientists, DevOps, and frontend engineers to deliver end-to-end solutions from data ingestion to user-facing features
- Design and optimize data pipelines for content indexing, real-time analytics, and ML feature serving
- Advocate for engineering best practices — conduct code reviews, write comprehensive tests, and drive architectural improvements
- Troubleshoot and resolve production issues, performing root-cause analysis and implementing preventive measures
- Contribute to technical design documents and participate in architecture decision-making
Requirements
What you’ll need- 3–6 years of back-end software development experience with strong proficiency in Java (primary) or Golang/Python
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field
- Deep understanding of software frameworks, design patterns, and microservices architecture
- Strong experience with relational databases (MySQL/PostgreSQL), message brokers (Kafka/RabbitMQ), and caching systems (Redis)
- Experience with cloud infrastructure (AWS/GCP/Azure) and containerization (Docker/Kubernetes)
- Hands-on experience integrating AI/LLM technologies into production systems — RAG, prompt engineering, LLM orchestration, or agentic pipelines is a strong plus
- Experience with high-throughput, low-latency backend systems serving millions of users
- Solid understanding of data structures, algorithms, and system design
- Ability to work independently and communicate effectively in a distributed, cross-timezone team environment
Benefits
Comp & perks- Competitive salary and company benefits
- Work-from-home arrangement (the arrangement may vary depending on the work nature of the business team)