RemoteListed Jul 13, 2026
Binance Accelerator Program - TechOps Engineer (Observability & AI Ops)
Binance
- AI-ML-Ops-Engineer
- AIOps-Engineer
- DevOps-SRE
- MLOps
- Observability-Engineer
- Observability-Engineering
- Operations-AI-Engineer
- Site-Reliability-Engineering
- Tech-Ops
- TechOps-Engineer
Assessed from original listing evidence
The role
Job description
Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. Binance is trusted by more than 320 million people in 100+ countries for its industry-leading security, transparency, trading engine speed, protections for investors, and unmatched portfolio of digital asset products and offerings from trading and finance to education, research, social good, payments, institutional services, and Web3 features. Binance is devoted to building an inclusive crypto ecosystem to increase the freedom of money and financial access for people around the world with crypto as the fundamental means.
About Binance Accelerator Program
Binance Accelerator Program (BAP) is a 3-6 month internship program designed for Early Career talent to have firsthand experience in the rapidly expanding digital assets space. You will be given the opportunity to develop your skills at Binance and understand what it’s like to work at the world's leading blockchain ecosystem. As part of your internship in the BAP, there will also be opportunities for networking and development, which will expand your professional network and build transferable skills to propel you forward in your career. Learn about the BAP Program HERE.Who may apply
Current university students and recent graduates.*Terms of employment / engagement shall be subject to contract and local applicable lawsRole 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
- 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.
- K8s, CI/CD, Terraform.
- MLOps project experience.
- Built a simple LLM agent or defined skills (LangChain, function calling).
- TSM tool experience.
Must-have
Nice-to-have
Originally posted on Himalayas
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