Site Reliability Infra Engineer (AI, LLM) Sydney NSW

💰 $4,200 - $6,720 (Est.) 📍 Sydney 🕐 Today

Job Description

Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. We are trusted by over 280 million people in 100+ countries for our industry-leading security, user fund transparency, trading engine speed, deep liquidity, and an unmatched portfolio of digital-asset products. Binance offerings range from trading and finance to education, research, payments, institutional services, Web3 features, and more. We leverage the power of digital assets and blockchain to build an inclusive financial ecosystem to advance the freedom of money and improve financial access for people around the world.

We are looking for a seasoned SRE/ AI Engineer to design and improve our central Big Data infrastructure/services to the next stage, to ensure the data, services, and infrastructures are reliable, fault-tolerant, efficiently scalable, and cost-effective.
Responsibilities
Engage in and improve the whole lifecycle of service, from inception and design, through to deployment, operation, and refinement.
Develop and maintain tools, re-designing capacity planning infrastructure for greater scalability.
Troubleshooting, diagnosing, fixing software issues, and ensuring data security.
Build production LLM systems to power business functions, from data to production, emphasizing automation and reproducibility.
Optimize and support LLM workloads in on-prem environments
Requirements
Have source code understanding of open-source data groups, such as HDFS, HBase, YARN, Spark, Flink, Airflow, Kyuubi, ZK, Kafka, etc.
In-depth understanding of Linux and computer networks.
Experience in at least one language (Python/Golang/Java, etc.).
Experience in profiling, benchmarking and optimizing ML applications
Self directed, self motivated and detail oriented with ability to come up with good design proposals and thorough analysis of production issues
Ability to thrive in a multi-functional team on high profile, critical projects
Minimum of 5 years of hands-on experience on backend or big data ecosystem.
Comfortable working in a high-velocity startup environment with evolving goals and systems
Why Binance
Shape the future with the world’s leading blockchain ecosystem
Collaborate with world-class talent in a user-centric global organization with a flat structure
Tackle unique, fast-paced projects with autonomy in an innovative environment
Thrive in a results-driven workplace with opportunities for career growth and continuous learning
Competitive salary and company benefits
Work-from-home arrangement (the arrangement may vary depending on the work nature of the business team)

Binance is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success.
By submitting a job application, you confirm that you have read and agree to our Candidate Privacy Notice.

💡 Quick Summary

Seeking a career-building opportunity? The Site Reliability Infra Engineer (AI, LLM) Sydney NSW position is now open for candidates interested in the Work from home Jobs sector. This role in Sydney offers a professional environment and growth potential.

Requirement Snapshot: Candidates should possess basic communication skills, a proactive attitude, and the ability to work in a team. Experience in Work from home Jobs is a plus.

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Job Details

Company Name: Binance

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The expected salary for Site Reliability Infra Engineer (AI, LLM) Sydney NSW in Sydney is $4,200 - $6,720 (Est.) per month. Actual compensation may vary based on experience and negotiation.
No, Site Reliability Infra Engineer (AI, LLM) Sydney NSW is an on-site position based in Sydney. Candidates must be able to commute or relocate to this location.
Basic communication skills, a proactive attitude, and the ability to work in a team are required for Site Reliability Infra Engineer (AI, LLM) Sydney NSW. Previous experience in Work from home Jobs is a plus. Freshers may also apply depending on the employer's requirements.
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