Our client is one of the world's leading financial institutions, tackling some of the industry's toughest problems using bleeding edge technology and highly intelligent trading strategies. They are currently looking for a Cloud Engineer to design and build production cloud based batch and streaming data processing systems.
Responsibilities
- Provide infrastructure tooling for cloud and hybrid computing.
- Provide operational support for production systems.
- Run and debug complex distributed environments.
- Articulate the advantages of various solution options.
- Evaluate new technologies by building and running PoCs
- Assess and communicate potential business impact of those technologies.
- Act as a cloud architectural consultant.
- Working with various IT teams through entire project lifecycles.
Requirements
- Experience designing and running large batch and streaming data processing systems, e.g. Hadoop, Spark, Storm.
- A solid understanding of the various merits of different data stores, e.g. Cassandra, MongoDB, Riak, HBase.
- Experience with DevOps practices such as configuration management (e.g. Ansible, Chef etc) and infrastructure automation.
- Solid knowledge of various languages, preferably python/ruby and C++.
- Track record of deploying elastic applications to public or private clouds (AWS, GCE, Openstack)
- Solid understanding of encryption and security.
- Good Linux systems knowledge.
