Чётко очерченная роль Staff-уровня предлагает высокий уровень ответственности, современные backend-системы и оплату заметно выше рыночного ориентира; домен рынков предсказаний несёт репутационные и регуляторные риски.
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Оплата выше рынкаСовременный стекВысокая ответственностьРискованный домен
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Hirify AI/Оригинал
TL;DR
Staff Backend Engineer (Go): Building and operating critical backend systems, services, and APIs for a high-volume prediction market with an accent on correctness, performance, and reliability. Focus on designing distributed systems, solving concurrency and scale challenges, leading incident response, and shaping architecture for trading, consumer, fraud, or risk platforms.
Location: New York, United States; remote and on-site options listed
Salary: $250,000–$400,000 annually, plus equity and benefits.
Company
Polymarket operates a peer-to-peer prediction market platform covering politics, economics, sports, culture, and current affairs.
What you will do
Design, build, operate, and evolve critical backend systems from architecture through production.
Set technical direction and influence architecture across teams, with emphasis on scale, failure modes, and graceful degradation.
Build fast, correct, and maintainable services and APIs, mainly in Go.
Profile and tune production systems, lead incident response, and prevent recurring reliability issues.
Partner with Product, Infrastructure, Data, and business stakeholders to turn ambiguous requirements into working systems.
Mentor engineers, lead design reviews, and help establish engineering standards.
Requirements
7+ years of professional backend engineering experience.
Strong proficiency in Go, Python, or Java; Go is preferred.
Deep knowledge of distributed systems, concurrency, data structures, and algorithms.
Experience designing, shipping, and operating high-scale distributed systems in production.
Strong focus on correctness and reliability in systems with financial consequences.
Proven technical leadership, independent execution, and sound judgment on speed, quality, and maintainability tradeoffs.
Nice to have
Experience with trading or exchange systems, large-scale consumer platforms, risk, fraud, compliance, derivatives, or risk engines.
Background in latency-critical or financial domains such as HFT, fintech, payments, crypto, or gaming.
Production experience with Kafka, Pulsar, gRPC, Connect, or Protobuf.
Experience running containerized services on AWS or GCP with modern deployment tooling.
Culture & Benefits
High-autonomy individual contributor role with substantial ownership.
Small group of senior engineers and lightweight processes.
Competitive salary, equity, and unlimited PTO.
Health, vision, dental, and 401(k) matching.
Full hardware setup, including a new MacBook Pro, display, and accessories.
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