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- 1 week ago
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Job description
About Binance
Binance stands as a premier global blockchain ecosystem operating the world's largest cryptocurrency exchange by trading volume and registered users. Trusted by over 300 million users across more than 100 countries, Binance is recognized for industry-leading security, transparent user fund management, rapid trading engines, deep market liquidity, and a vast range of digital asset products. Our offerings span trading, financial services, education, research, payments, institutional solutions, Web3 capabilities, and beyond. We harness the power of blockchain and digital assets to build an inclusive financial system, promoting monetary freedom and broadening financial accessibility worldwide.
Responsibilities
- Architect, implement, and continuously enhance the core backend systems supporting Social products.
- Boost system efficiency, stability, uptime, and overall technical excellence.
- Collaborate closely across product management, operations, algorithms, and client engineering teams to deeply understand objectives and launch innovative projects.
- Convert intricate business needs into robust, reusable, and scalable backend solutions.
- Refine service governance, data workflow, monitoring/alert systems, incident handling, and developer productivity.
- Identify technical constraints as the business evolves and steer mid- to long-term planning for system advancement.
- Investigate and apply a Human + AI collaborative development approach to enhance requirement analysis, coding, testing, debugging, and delivery throughput.
- Engage in design and code reviews and contribute to strengthening engineering capabilities to uphold software quality standards.
Requirements
- Strong competence in Java or Go programming languages, supported by solid software engineering principles and computer science foundations.
- Comprehensive understanding of distributed systems, microservices architecture, messaging queues, caching strategies, database technologies, and service governance frameworks.
- Hands-on experience building large-scale systems featuring high concurrency and availability.
- Good technical insight paired with business sense, capable of balancing user experience, business impact, and technical expenses.
- Outcome-driven mindset complemented by excellent problem-solving and cross-team project execution abilities.
- Experience utilizing AI-driven coding and development tools, with capacity to seamlessly embed AI technologies in engineering workflows while ensuring quality, security, and maintainability.
Preferred Qualifications
- Background with social platforms, content communities, instant messaging, recommendation engines, or user engagement growth tactics.
- Expertise in systems related to feeds, comments, social interactions, social graph structures, messaging, or real-time communication.
- Experience with global-scale internet products or systems distributed across regions.
- Familiarity with complex system architecture design, technical planning, and cross-functional collaboration.
Why Join Binance?
- Influence the future through participation in the leading blockchain ecosystem worldwide.
- Work alongside exceptional global professionals within a flat organizational culture centered on users.
- Tackle innovative, fast-evolving projects autonomously, fostering creativity and innovation.
- Benefit from a results-oriented environment with ample opportunities for professional development and ongoing learning.
- Competitive remuneration packages complemented by comprehensive company benefits.
- Flexible working arrangements, including possibilities for remote work dependent on team requirements.
Additional Information
Binance is an equal opportunity employer dedicated to fostering diversity within its workforce as a key to success. Candidates agree to the company's Candidate Privacy Notice upon applying. The recruitment process may integrate AI tools to assist in application review and assessment, but final hiring choices are determined by human evaluators. Contact the company for more details on data processing practices.