| Job Position | Company | Posted | Location | Salary | Tags |
|---|---|---|---|---|---|
Binance | Taipei, Taiwan |
| |||
Okx | Remote | $129k - $216k | |||
Okx | Remote | $96k - $111k | |||
Gsrmarkets | Remote | $103k - $112k | |||
| Learn job-ready web3 skills on your schedule with 1-on-1 support & get a job, or your money back. | | by Metana Bootcamp Info | |||
Kronosresearch | Remote | $121k - $125k | |||
Tether Operations Limited | Dublin, Ireland | $105k - $120k | |||
Tether Operations Limited | London, United Kingdom | $54k - $81k | |||
10arx | Remote | $30k - $60k | |||
Zscaler | Remote | $175k - $250k | |||
Okx | Remote | $126k - $131k | |||
Okx | Remote | $126k - $150k | |||
Okx | Remote | $126k - $150k | |||
Okx | Remote | $106k - $109k | |||
Crypto.com | Hong Kong, Hong Kong | $117k - $150k | |||
Tether Operations Limited | Rio De Janeiro, Brazil | $54k - $81k |
Binance Accelerator Program - TechOps Engineer (Observability & AI Ops)
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.
What an AI Developer does?
An AI developer is someone who creates and builds artificial intelligence systems
Their responsibilities may include designing and implementing algorithms, creating and training machine learning models, and deploying AI systems to solve practical problems
Additionally, they may be responsible for maintaining and improving existing AI systems, as well as collaborating with other teams or individuals to integrate AI technology into larger systems.