Design and evolve highly scalable backend systems for social products. Improve performance, availability, monitoring, alerting, incident response, data pipelines, and engineering productivity. Translate business requirements into reusable capabilities, plan long-term technical improvements, and collaborate cross-functionally. Participate in design and code reviews while applying AI-powered development tools securely and effectively.
Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. We are trusted by 300+ million people in 100+ countries for our industry-leading security, user fund transparency, trading engine speed, deep liquidity, and an unmatched portfolio of digital-asset products. Binance offerings range from trading and finance to education, research, payments, institutional services, Web3 features, and more. We leverage the power of digital assets and blockchain to build an inclusive financial ecosystem to advance the freedom of money and improve financial access for people around the world.
Responsibilities:
- Design, develop, and continuously evolve core backend systems for Social products.
- Improve system performance, stability, availability, and overall technical quality.
- Develop a deep understanding of product and operational goals, collaborating with product, operations, algorithm, and client engineering teams to deliver innovative projects.
- Translate complex business requirements into clear, reusable, and scalable system capabilities.
- Improve service governance, data pipelines, monitoring and alerting, incident response, and engineering productivity.
- Identify technical bottlenecks as the business evolves and drive medium- to long-term technical planning.
- Explore a Human + AI collaborative development model, using AI to improve requirements analysis, coding, testing, troubleshooting, and delivery efficiency.
- Participate in technical design reviews, code reviews, and engineering capability building to continuously improve software quality.
Requirements:
- Proficiency in Java or Go, with strong computer science fundamentals and software engineering skills.
- Solid knowledge of distributed systems, microservices, message queues, caching, databases, and service governance.
- Experience designing and building large-scale, highly concurrent, highly available online systems.
- Strong technical judgment and business acumen, with the ability to balance business value, user experience, and technical cost.
- Results-oriented, with strong problem-solving and cross-functional project execution skills.
- Proficiency with AI-powered coding and development tools, with the ability to integrate AI effectively into engineering workflows while maintaining code quality, security, and maintainability.
Preferred Qualifications:
- Experience with social platforms, content communities, instant messaging, recommendation systems, or user growth.
- Experience building feeds, comments and interactions, social graphs, messaging, or real-time communication systems.
- Experience with global, large-scale internet products or cross-region systems.
- Experience in complex system architecture, technical planning, or cross-functional collaboration.
Why Binance
• Shape the future with the world’s leading blockchain ecosystem
• Collaborate with world-class talent in a user-centric global organization with a flat structure
• Tackle unique, fast-paced projects with autonomy in an innovative environment
• Thrive in a results-driven workplace with opportunities for career growth and continuous learning
• Competitive salary and company benefits
• Work-from-home arrangement (the arrangement may vary depending on the work nature of the business team)
Binance is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success.
By submitting a job application, you confirm that you have read and agree to our Candidate Privacy Notice.
Similar Jobs
Angel or VC Firm • Artificial Intelligence • Software
Lead zero-to-one product development of an AI contract-review agent: define vision, run extensive user discovery, scope prototypes, drive tech strategy with engineers, deliver MVP, and shape early GTM and positioning.
Top Skills:
Browser ExtensionClaudeContract ParsingContract RetrievalDocument ViewerEmbeddingsFine-TuningGptLlm AgentsNotion-Style CanvasOpen ModelsPrompt EngineeringRag (Retrieval-Augmented Generation)
Angel or VC Firm • Artificial Intelligence • Software
Provide high-level administrative support to a CEO of multiple early-stage tech startups: manage complex calendars across time zones, handle email, coordinate meetings and projects, maintain shared documents, track tasks and deadlines, assist with personal scheduling, streamline communication, and implement AI-driven workflow improvements.
Top Skills:
ChatgptGmailGoogle CalendarGoogle DocsGoogle SheetsJIRANotionSlackZoom
News + Entertainment
Analyzes sales performance, targets, trends, customer demographics, and market opportunities to support forecasting, budgeting, sales planning, and strategic decisions. Ensures consistent data collection and reporting, manages projects for the Sales Management Office, monitors variances, and supervises junior staff.
Top Skills:
Aws QuicksightExcelMicrosoft Power BiMicrosoft PowerpointSQLTableau
What you need to know about the Austin Tech Scene
Austin has a diverse and thriving tech ecosystem thanks to home-grown companies like Dell and major campuses for IBM, AMD and Apple. The state’s flagship university, the University of Texas at Austin, is known for its engineering school, and the city is known for its annual South by Southwest tech and media conference. Austin’s tech scene spans many verticals, but it’s particularly known for hardware, including semiconductors, as well as AI, biotechnology and cloud computing. And its food and music scene, low taxes and favorable climate has made the city a destination for tech workers from across the country.
Key Facts About Austin Tech
- Number of Tech Workers: 180,500; 13.7% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Dell, IBM, AMD, Apple, Alphabet
- Key Industries: Artificial intelligence, hardware, cloud computing, software, healthtech
- Funding Landscape: $4.5 billion in VC funding in 2024 (Pitchbook)
- Notable Investors: Live Oak Ventures, Austin Ventures, Hinge Capital, Gigafund, KdT Ventures, Next Coast Ventures, Silverton Partners
- Research Centers and Universities: University of Texas, Southwestern University, Texas State University, Center for Complex Quantum Systems, Oden Institute for Computational Engineering and Sciences, Texas Advanced Computing Center
