Site Reliability Engineer

We’re seeking a Mandarin speaking SRE to join our client onsite/hybrid in dublin on a permanent basis. 

The role is working with a globally recognised tech brand’s existing Machine Learning team which is focused on training sample production and storage, feature engineering, distributed training, distributed services, OnlineLearning, resource scheduling, heterogeneous hardware and computer architecture etc.  

Responsibilities

• Resource management: Service Capacity and Budget / Server Arrival Tracking, Putaway and Quota Allocation / Resource Transfer Efficiency Workflow build-up / Cluster utilization governance.
• Service delivery: Adaptation between different cloud service vendors and self-built datacenters / localization docking of Global/US/European service environments / construction of new region and datacenter / Continuous Delivery of module updates.
• Quality direction: Undertake the monitoring of System / continuous Construction of operation and maintenance capabilities and tools / Formulation and Management of SLA / Improving the efficiency of Oncall / Dealing with accidents and Tracking the implementation of improvement measures.
• Research, design, and develop computer and network software or specialised utility programs.
• Analyse user needs and develop software solutions, applying principles and techniques of computer science, engineering, and mathematical analysis.
• Update software, enhances existing software capabilities, and develops and direct software testing and validation procedures.
• Work with computer hardware engineers to integrate hardware and software systems and develop specifications and performance requirements.

Qualifications

• Fluent/native Mandarin speaker 
• Fluent in english 
• Bachelor’s degree in Computer Science or equivalent with 2+ years of relevant experience

• Experience in analyzing, troubleshooting, deploying, maintaining or improving distributed/large-scale systems.
• Understand basic Python syntax; ability to read functional code
• Experience using open source components, at least two of the following: 
  • Sql Storage (e.g. RDS, Mysql, Oracle) 
  • Nosql (e.g. Redis, Memcache, Mongo, leveldDB, RocksDB)
  • Big Data Frameworks (e.g. HDFS, Hadoop, Yarn, Flink, Kafka, Spark, Storm, K8s)
  • Distributed Coordination Service (e.g. ETCD, Zookeeper)
  • Application Performance Management(e.g. Grafana, ClickHouse, Hive, Falcon, Zabbix, Prometheus)
  • Cloud Native Tech(e.g. Kubernetes/K8S, Docker) and some others, like ZeroMQ/RabbitMQ, GraphDB, Celery, MapReduce, Jenkins, etc
  • Ability to thrive in a fast-paced environment.
  • Strong understanding of code optimizing and routine tasks automation.

Preferred Qualifications

• Ability to program simple logic in Python/HTML/Javascript.
• Experience in resource management and task scheduling for large scale distributed systems.
• Proficiency in at least one machine learning framework: Hardware-Software Co-Design, High Performance Computing, ML Hardware Acceleration (e.g. GPU/TPU/RDMA) or ML Framework (e.g. TensorFlow/PyTorch)