技术经理

$5-10k

全球远程5-10年本科11 个月前发布

peter

Coinpilot · HR

职位详情

远程办公5-10年本科

## About Coinpilot Coinpilot is at the forefront of decentralized finance. We're a VC-backed startup building a **mobile-first copy trading platform on Hyperliquid**, with a long-term vision to introduce a full suite of on-chain investment strategies. Our team brings years of deep Web3 experience to the table, and we're looking for passionate builders to join our mission. This is a ground-floor opportunity to create a category-defining product in one of the fastest-moving spaces in tech. ## The Role We’re seeking a senior engineer to lead backend trading systems and own DevOps across Docker, GitHub Actions CI/CD, and AWS ECS (Fargate). You’ll partner with founders on product strategy, solve complex distributed systems problems, and treat AI tools as core leverage. Frontend/mobile work is occasional; React Native familiarity is sufficient, deeper expertise is a plus. Experience with our exact stack is preferred. ## What You’ll Do - Lead backend development: Architect and build low-latency trading services in TypeScript/Node.js with Redis and MongoDB; deliver reliability, scalability, and strong observability. - Own DevOps: Containerize services with Docker, establish and maintain GitHub Actions CI/CD, and deploy/operate on AWS ECS (Fargate) with safe rollbacks and monitoring. - Design APIs and data models: Define REST and WebSocket API specifications (endpoints, message types, auth, rate limiting), and own schema design, indexing, migrations, and data lifecycle. - Distributed systems: Implement resilience (idempotency, retries, circuit breakers) and event-driven workflows. - Performance and security: Profile hot paths, optimize caches and queries, enforce secure coding, secrets/IAM hygiene, and compliance-minded data handling. - Code quality leadership: Drive reviews, testing strategy, and documentation; mentor peers; raise the engineering bar. - Product strategy: Turn ambiguous requirements into iterative roadmaps; communicate trade-offs; measure outcomes. - AI-native development: Use AI tools for implementation, testing, docs, and propose AI-powered features where valuable. - Frontend collaboration (as needed): Provide guidance or light contributions to React/React Native; basic RN knowledge is acceptable.

任职要求

## What You’ll Bring - 6–10+ years building and operating production backends with end-to-end ownership. - Deep expertise in TypeScript and Node.js in production environments. - Redis proficiency (caching, locks, pub/sub) and strong MongoDB experience (schema/index design, performance, aggregation). - Real-time systems experience: WebSockets/streaming, event-driven patterns, consistency and reliability at scale. - DevOps: Docker; CI/CD (GitHub Actions), AWS ECS (Fargate), environment promotion, blue/green or canary, metrics/alerts, cost awareness. - Security: AuthN/AuthZ, secret management, least-privilege IAM, OWASP awareness. - AI tooling: Proficient with AI coding assistants, test generation, doc automation, and pipeline accelerators; strong prompt craft. - Collaboration: Clear communication, product empathy, high ownership, bias for action ## Nice To Have - React Native (TypeScript), mobile CI/CD, store releases. - Financial/trading or crypto experience; low-latency systems. - Exchange API trading experience (e.g., Hyperliquid REST/WS, order signing/nonce management, rate limits, order lifecycle); familiarity with other exchange APIs (e.g., Binance, Bybit) is a plus. - IaC (Terraform or AWS CDK); observability stack (CloudWatch, Sentry). - Monorepo experience with pnpm workspaces and shared packages ## Our Stack - Languages/Frameworks: TypeScript, Node.js; React/React Native (familiarity sufficient) - Data/Infra: Redis, MongoDB, AWS ECS (Fargate), Docker - CI/CD: GitHub Actions - Tooling: pnpm workspaces, linting/testing, health checks and logging ## How We Work - Ownership: You design solutions and drive them to production. - Quality: Strong standards for code, tests, and documentation. - Fast iteration: Small PRs, frequent deploys, data-informed decisions. - AI-native: AI tools as core leverage to build better, faster. ## First 90 Days - Deliver a production backend trading capability with strong reliability and observability. - Establish GitHub Actions CI/CD pipelines and ECS (Fargate) deployments with safe rollbacks and monitoring. - Improve system performance and security posture; document critical paths. - Introduce AI-driven improvements that reduce cycle time and defects. - Optionally provide guidance or small contributions to the mobile app