Site Reliability Engineer

Job not on LinkedIn

🔥 18 minutes ago

🇸🇬 Singapore – Remote

⏰ Full Time

🟢 Junior

🟡 Mid-level

⛑ DevOps & Site Reliability Engineer (SRE)

🚫👨‍🎓 No degree required

👻 Ghost score 11%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Binance

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2017

₿ Crypto

💳 Fintech

💰 Initial Coin Offering on 2020-12

Crypto • Fintech

Binance is the world's leading cryptocurrency exchange, serving over 235 million registered users across more than 180 countries. The platform offers a wide array of services, including the trading of over 350 cryptocurrencies in Spot, Margin, and Futures markets. Users can also buy and sell crypto via Binance P2P, earn interest through Binance Earn, and engage in NFT trading on the Binance NFT marketplace. Binance provides low transaction fees and diverse payment options, making it a preferred choice for cryptocurrency enthusiasts worldwide.

📋 Description

• Design and operate next-generation adaptive, self-correcting, and multi-hop retrieval pipelines • Architect Agentic RAG systems with dynamic retrieval control, query decomposition, iterative retrieve-reflect-refine loops, and multi-agent retrieval collaboration • Collaborate with researchers and engineers to define and implement model-capability-driven innovations • Work on context management, long-term memory, subagent and multi-agent architectures, self-evolving agents, and real-world task execution • Propose harness-domain and RAG-domain benchmarks and evaluation methodologies • Construct benchmark datasets and define annotation strategies • Measure and improve agent intelligence across domains, including retrieval efficiency, latency, groundedness, and task success rate • Leverage multi-channel user feedback and real-world task data as research signals • Design experiments and datasets to continuously improve agent and retrieval performance in production scenarios

🎯 Requirements

• 2-8+ Year hands-on experience with LLM, RAG and AI agent systems in production • Hands-on experience building production retrieval pipelines end-to-end • Experience with embedding models such as BGE and OpenAI • Experience with vector stores such as Qdrant, Milvus, Pinecone, and Weaviate • Experience with hybrid search, reranking models, chunking strategy, text cleaning, and multimodal data parsing • Experience implementing Agentic RAG patterns, including Self-RAG, Corrective RAG, adaptive retrieval, multi-hop decomposition, and retrieve-reflect-refine loops • Hands-on experience with Agent Harness runtimes such as Pi Agent, AgentScope 2.0, or equivalent orchestration frameworks • Knowledge of session recovery, sandbox isolation, middleware/hook systems, multi-tenant runtime, plan/execute loops, and retrieval-grounded tool calling • Deep familiarity with LLM and agent mechanisms, including LLM APIs, KV Cache, Agent Loop, Tool Use, Reasoning, Planning, Skills, MCP, Memory, Subagent, and Multi-Agent • Strong grasp of Prompt Engineering and Context Engineering • Ability to analyze ambiguous problems from first principles, generate original ideas, and drive research from 0 to 1 • Ability to rapidly translate ideas into runnable prototypes with tight experiment iteration loops • Power user of agent products, including coding agents and general-purpose agents • Proficient in vibe coding and AI-assisted workflows across unfamiliar languages, frameworks, and domains • Strong learning velocity in software development

🏖️ Benefits

• Competitive salary and company benefits • Work-from-home arrangement (the arrangement may vary depending on the work nature of the business team) • Opportunities for career growth and continuous learning • Collaborate with world-class talent in a user-centric global organization with a flat structure • Autonomy in an innovative environment • Equal opportunity employer • Diverse workforce