A global investment firm based in Chicago is looking for a Cloud Engineer to design and build cloud based batch and streaming data processing systems and act as a cloud architectural consultant to internal application teams.
Additional responsibilities include:
- Provide infrastructure tooling for cloud and hybrid computing
- Provide operational support for your production systems
- Run and debug complex distributed environments.
- Articulate the advantages of various solution options.
- Evaluate new technologies by building and running PoCs
- Asses and communicate potential business impact of those technologies Working with Front Office IT teams through entire project lifecycles.
Qualifications:
- 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. Strong interpersonal and communication skills.
- Strong critical reasoning skills.
- Strong work ethic & high degree of integrity.
- Self-starter and able to work with minimal supervision.
Education:
- Bachelors of Science (Master Degree preferred) in engineering, computer science, or mathematics.
If you would like to be considered for the position of Cloud Engineer, or wish to discuss the role further then please leave your details below. Your resume will be held in confidence until you connect with a member of our team
