Jobs at Binance

Lead global card program roadmap and launches (virtual and physical), manage issuer/processor/manufacturer relationships, integrate digital wallets (Apple/Google Pay), oversee card supply chain and vendors, negotiate commercial agreements, build SOPs and scalable operations, drive GTM with Product and Growth, and monitor performance through data-driven analysis.

Lead Android architecture and infrastructure for Binance mobile apps: design, build, optimize, and maintain high-performance Kotlin/Java applications, create shared libraries and toolchains, collaborate on hybrid JavaScript runtimes, and use profiling and AI-assisted debugging to troubleshoot and improve app performance.

Design, implement, and maintain large-scale, mission-critical infrastructure. Automate CI/CD and operational workflows, manage configuration and deployments, enhance observability, resolve production issues, recommend architectural improvements, and ensure system security in collaboration with development and QA teams.

Design and build core backend modules for a high-volume P2P marketplace, including order matching, escrow, dispute resolution, and merchant management. Develop high-concurrency transaction processing, seller/buyer workflows, payment integrations, and ensure reliability, idempotency, and consistency across transactions. Participate in architecture design, code reviews, and cross-team collaboration.

Build and maintain user tagging and profiling systems, analyze large-scale behavior data, perform feature engineering and exploratory analysis, support cross-functional teams for segmentation, monitor tag effectiveness, detect anomalies and fraud patterns, and improve data methodologies to enable risk control and personalized services.

Lead backend QA for a Web3 wallet: design and execute automated tests, investigate and reproduce backend issues, perform root-cause analysis, and test unreleased features through full test-cycle automation and some manual validation.

Lead end-to-end sanctions and counter-terrorism financing investigations on Binance's global platform. Perform blockchain tracing and on-chain analysis, manage caseloads and SLAs, conduct OSINT, prepare audit-ready investigation reports and SAR/STR filings, and identify process gaps to strengthen compliance controls.

Design and build high-performance Java microservices and data pipelines to parse, transform, and analyze multi-chain on-chain data in real time. Integrate with Kafka, Redis, RDS, and data lake systems; optimize low-latency computation for token prices, swaps, liquidity metrics; ensure fault tolerance, observability, and alignment with long-term data platform strategy.

Lead strategy and execution for virtual and physical card products, managing end-to-end launches, vendor and partner relationships (issuers, processors, BIN sponsors, manufacturers), wallet integrations, commercial negotiations, card production and fulfillment, and build scalable SOPs while monitoring performance and driving operational improvements.

Early-career Data Scientist role in Binance Accelerator Program focused on designing and evaluating AI models to detect P2P scams. Responsibilities include developing CV-based document verification, LLM-based detection and interpretable explanations, image-embedding feature extraction, and collaborating with engineers to optimize detection pipelines and deliver insights.

Design, develop, and optimize high-performance Java backend systems. Contribute to architecture, implement core modules, troubleshoot production issues, perform code reviews, and improve scalability, availability, and reliability of distributed financial or blockchain systems.

Lead data analysis and BI for recommendation, feeds, and growth use cases; deliver analytics, reporting, and end-to-end solutions; prioritize stakeholder requests; partner cross-functionally to deliver high-impact use cases; implement LLM-based agents for analysis, chatbot interaction, and sentiment monitoring; and mentor junior analysts.

Design and implement complex backend logic for the Strategy Engine to deliver personalized, dynamic UI experiences. Collaborate with data analysts to define and evaluate strategies, and work with Product, DevOps, and QA to deliver robust solutions. Promote engineering best practices and perform code reviews to ensure quality and consistency.

Manage fiat deposit and withdrawal operations for high-value institutional clients, support onboarding and ongoing account management, coordinate escalations across internal teams and banking partners, drive process improvements and support rollout of fiat solutions.

Design, build, and maintain bank and card payment integrations and high-availability, high-concurrency payment processing modules (routing, clearing, reconciliation, settlement). Collaborate with product, risk, and compliance, participate in code reviews and system design, and optimize system performance and scalability.

Design, implement, and maintain large-scale infrastructure and configuration solutions. Automate CI/CD and operational workflows, manage deployments, enhance observability, troubleshoot production issues, recommend architectural improvements, and ensure system security.

Operate and scale Kubernetes (EKS) clusters, maintain cloud infrastructure across providers, build CI/CD pipelines (GitHub Actions, ArgoCD), automate provisioning with Terraform and Python, manage incidents and post-mortems, and collaborate with developers to ensure reliable, cost-efficient, and secure deployments.

Early-career QA role: develop and execute manual and automated tests, create test cases from business and technical designs, track defects to resolution, contribute to test automation and risk mitigation, and collaborate with the team to ensure timely delivery of high-quality products.

Develop, deploy, and maintain LLM pipelines and RAG QA/search systems; design and optimize prompts and multi-agent LLM architectures; operate multi‑GPU/cluster inference; build evaluation pipelines for model quality, bias, and hallucination; collaborate with product and CS teams to integrate conversational AI.

Lead end-to-end QA for backend platforms: investigate and reproduce issues, design and run exploratory/manual tests, build and maintain Python/Bash test automation, evaluate coverage gaps, and produce test plans, cases, reports, and summaries to ensure scalability, stability, and performance.