Binance Accelerator Program - TechOps Engineer (MENA Timezone)

Binance • Python • SQL • 5 months ago
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Salary
≈ $52k – $111k per year (Estimated)
Location
Remote (MENA, Taiwan, Singapore)
Seniority
Junior
Overview
Company
Impact
Profile match

Binance

Binance is the world's largest cryptocurrency exchange by trading volume, founded in 2017 by Changpeng Zhao and Yi He. The platform offers spot, margin and derivatives trading across hundreds of digital assets, alongside staking, savings products, payments, an institutional custody arm and a self-custodial Web3 wallet. The group also created BNB Chain, one of the most used smart contract networks, and now operates under a licensed regional structure after a 2023 settlement with United States authorities that installed new leadership and compliance oversight.
binance.com • HQ: Abu Dhabi, United Arab Emirates • Crypto Wallets • Blockchain Infrastructure • Mining & Staking • Crypto Payments • Web3 & dApps • Blockchain & Crypto • Cryptocurrencies • Crypto Exchanges • 1001-5000 employees • Est. 2017

Role Positioning

Build observability, automation, and AIOps foundations. Focus on deliverable output, reusable assets, and support-driven product improvement.

Learning Outcomes

  • Use logs/metrics/traces to understand issues; complete a dashboard + alert + runbook for one service.
  • Turn support pain points into product improvements (copy, self-service, workflow).
  • Understand MLOps/AIOps basics: deployment, rollback, drift monitoring.
  • Build or extend an agent skill for automation or support.

Responsibilities

  • Observability & Automation - Set up dashboards/alerts; script repetitive ticket steps.
  • RCA & Support Insights - Participate in RCAs; log user pain points weekly; propose product fixes.
  • Agent & Skill Prototyping - Build a lightweight agent (e.g., telegram bot) with at least one reusable skill (log fetch, health check, etc.).
  • ITSM / Tools (optional) - Optimize a small workflow in incident management tooling.

Requirements

    Must-have

  • CS/Data/AI or related major; Linux + scripting (Shell/Python); basic SQL.
  • Good documentation - write actionable runbooks.
  • Empathy & product thinking - improve user experience from support data.
  • Basic understanding of agents and skills.

    • Nice-to-have

  • K8s, CI/CD, Terraform.
  • MLOps project experience.
  • Built a simple LLM agent or defined skills (LangChain, function calling).
  • TSM tool experience.
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