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For one of our multiyear projects we are looking for a Cloud DevOps Engineer out of New York City NYC.
Basic Qualifications (Legislative Requirement):
5 years of experience in Spark/Hadoop
5 years of experience programming in Java/Scala
5 years of experience in Docker(Swarm/Kubernetes)
5 years of experience with Python/Shell Scripting
Proficient understanding of distributed computing principles
Proficient understanding of networking principles
Proficient understanding of performance computing principles
Experience with NoSQL/Graph databases such as MongoDB Ignite and Druid
Experience with Hadoop Docker Kubernetes and ELK Stack a plus
Experience with Hive
PRINCIPAL RESPONSIBILITIES:
Take ownership of component(s) of the workflows supported within our data ecosystem
Interact with CM development teams across RBC and understand their application requirements data access patterns and assist them with expediting onboarding to various platforms from a engineering and development aspect.
Design and develop systems that meet our latency volume storage and scale expectations to enhance KPI metrics and monitoring capabilities for use across multiple teams
Participate in meetings to help influence architectural engineering and development decisions
Follow our Agile software development process with daily scrums and monthly Sprints
Ability to work collaboratively on a crossfunctional team with a wide range of experience levels
Define best practices for spark usage; work with teams to influence their architecture
Provide expertise in Spark Performance tuning
Perform knowledge sharing conduction education workshops and train other employees is expected
Keep pace with emerging technology by researching and evaluating products
AUTHORITIES IMPACT RISK
Recognized Big Data & Cloud DevOps Engineer who can helps build components drive best practices & standards and provide guidance/insight to partnering Architecture Development Engineering and Operations Team(s) across QTS
KEY RELATIONSHIPS:
QTS Application Development Team(s)
QTS Architecture and Engineering Team(s)
QTS Engineering and Operations Team(s)
WORKING CONDITIONS:
Office Environment.
Fast Paced.
Some Overtime & Weekend work.
Full Time