Responsibilities
- Own core wallet backend modules.
- Build and continuously improve address management, asset synchronization, transaction construction, broadcasting, on-chain confirmation, gas estimation, nonce management, and transaction-state tracking.
- Understand each module's role in the full wallet flow, and keep stability, performance, and maintainability front of mind.
- For complex requirements, break the problem down before choosing an implementation rather than stacking code or reusing old designs.
- Work on transfers, token approvals, contract interactions, cross-chain, swaps, DApp connections, and signature-request handling.
- Understand a transaction's full lifecycle — from initiation through construction, signing, broadcasting, on-chain confirmation, and final state update — and diagnose issues like stuck transactions, duplicate submissions, state inconsistencies, and on-chain success that isn't reflected in the business system, using logs, on-chain data, and call traces.
- Contribute to technical research, integration design, and feature development, accounting for differences in address models, account systems, transaction structures, signing methods, fees, and confirmation mechanisms — as well as node stability, asset sync, exception compensation, monitoring, and security boundaries.
- Contribute to day-to-day stability work — monitoring, alerting, rate limiting, graceful degradation, retries, compensation, data reconciliation, and troubleshooting.
- When incidents occur, help investigate, narrow scope, and fix root causes; for recurring issues, drive systemic fixes such as added monitoring, stronger fallbacks, or design improvements.
- Take ownership of the modules and projects you're responsible for.
- On work spanning product, QA, frontend, infrastructure, or other backend teams, proactively sync information, surface dependencies and risks, and drive issues to resolution.
- When requirements are unclear or opinions diverge, lay out the context, offer your own judgment, and help build consensus.
- Participate in design discussions, code reviews, and system optimization.
- Spot unreasonable designs, duplicated logic, and latent risks, and propose actionable improvements.
- Document technical decisions, post-incident learnings, and best practices, and help less-experienced teammates.
- Use AI coding tools (Claude Code, Cursor, Codex, etc.) to assist with code comprehension, scaffolding, unit tests, code review, troubleshooting, refactoring, and documentation — validating AI output for correctness, project conventions, performance, and security rather than using it unchecked.
Requirements
- Solid Java backend fundamentals. ~5–10 years of Java backend experience with a strong grasp of collections, concurrency, thread pools, the JVM, network communication, and common performance issues.
- Proficient with Spring Boot, Spring Cloud, MyBatis, or comparable stacks, able to independently design and build medium-to-large backend modules and reason about the mechanics behind the frameworks you use.
- Experience with complex or high-concurrency systems; comfortable with idempotency, retries, compensation, caching, message queues, distributed locks, data consistency, rate limiting, and service degradation.
- Able to own module- or service-level design and clearly explain the core flow, failure scenarios, and key trade-offs.
- Able to understand context and goals on ambiguous problems, separate symptom from root cause, and choose a fitting solution based on business value, user experience, stability, cost, and security — rather than reflexively adding complexity.
- Able to independently own a module or project end to end, from design through development, testing, and launch.
- Proactively communicates and resolves dependencies, risks, and blockers, and follows through on launch outcomes rather than stopping at code merge.
- Experience with wallets, blockchain, trading platforms, on-chain data services, or related systems.
- Understands addresses, public/private keys, mnemonics, transaction signing, broadcasting, on-chain confirmation, gas, and nonce; familiar with the transaction mechanics of at least one of EVM, Tron, or Solana, and with token standards such as ERC-20 and TRC-20.
- Sensitivity to private-key, signing, permission, and user-asset security; familiar with replay protection, API authentication, tamper resistance, sensitive-data protection, and least-privilege principles.
- Actively considers malformed input, duplicate requests, privilege bypass, and data-leak risks when building transaction features.
- Able to diagnose live issues via log analysis, metrics monitoring, distributed tracing, and thread/memory analysis; can form hypotheses and narrow scope even with incomplete information.
- Hands-on experience with performance degradation, timeouts, message backlogs, data inconsistencies, memory issues, or unstable third-party services.
- Willing to use AI coding tools to improve daily efficiency and able to judge whether AI output meets real business requirements before shipping it.
- Has a basic understanding of prompts, context management, RAG, AI agents, and MCP, or a genuine willingness to keep learning — treating AI as an engineering tool, not requiring an algorithm/model-training background.
Nice to Have
- Integration work on new public chains, new asset standards, or cross-chain protocols
- Familiarity with WalletConnect, DApp Browser, or signature-request handling
- Knowledge of MPC, multisig, hardware wallets, or TEE-based key-security schemes
- Experience with Swap, staking, cross-chain bridges, or DeFi aggregation
- Address risk detection, allow/deny lists, anti-fraud, or wallet risk-control experience
- High-concurrency transaction systems, blockchain node services, on-chain data indexing, or transaction-state-tracking systems
- Familiarity with RPC calls, block scanning, chain reorgs, transaction compensation, and reconciliation mechanisms
- JVM performance tuning, stability governance, or complex production-incident experience
- Cross-team collaboration with a track record of driving projects to delivery
- Real projects built with AI — e.g. AI code review, development agents, MCP servers, intelligent troubleshooting, or knowledge bases
- Follows developments in AI coding assistants and LLM applications and shares practical takeaways with the team
Benefits
- Competitive total compensation
- Comprehensive insurance coverage for you and your dependents
- More benefits to be discussed after you join
