BNY Mellon
Job Qualifications
Bachelors of Science degree in Computer Science/Information Systems or related technical field involving systems coding/engineering, or equivalent work experience
Proficiency in large data mining with query or search languages such as SQL, Splunk SPL, etc
Experience with configuration management across large scale systems
Proficiency in one or more of the following: Python, Go, C, C++, Java, Perl, Ruby, or any other non-shell script language
Experience with AI / ML.
SW configuration framework (e.g., ansible, chef, salt), and devops lifecycle tools (e.g., git, subversion, artifactory)
Experience with UNIX operating systems internals and networking
Familiarity with various UNIX performance and system tools (e.g., strace, iostat, free, top, tcpdump , grep, awk, sed , etc )
Experience in troubleshooting large scale distributed systems across large networks.
Integrating products using APIs
Solid understanding of Risk culture
Solid understanding of Systems Controls and Risk Reduction techniques
Machine Learning / AI
Understanding of Cloud Technology (Azure mainly, secondarily: Azure, GCP)
Implementation of Cloud workloads and integrations with the same
Experience with various enterprise logging systems
Experience with distributed systems design.
Debugging / optimizing code
Development Modern development practices.
A strong preference for CI / CD / Devops techniques
Containerisation technologies.
BNY Mellon
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Bachelors of Science degree in Computer Science/Information Systems or related technical field involving systems coding/engineering, or equivalent work experience
Proficiency in large data mining with query or search languages such as SQL, Splunk SPL, etc
Experience with configuration management across large scale systems
Proficiency in one or more of the following: Python, Go, C, C++, Java, Perl, Ruby, or any other non-shell script language
Experience with AI / ML.
SW configuration framework (e.g., ansible, chef, salt), and devops lifecycle tools (e.g., git, subversion, artifactory)
Experience with UNIX operating systems internals and networking
Familiarity with various UNIX performance and system tools (e.g., strace, iostat, free, top, tcpdump , grep, awk, sed , etc )
Experience in troubleshooting large scale distributed systems across large networks.
Integrating products using APIs
Solid understanding of Risk culture
Solid understanding of Systems Controls and Risk Reduction techniques
Machine Learning / AI
Understanding of Cloud Technology (Azure mainly, secondarily: Azure, GCP)
Implementation of Cloud workloads and integrations with the same
Experience with various enterprise logging systems
Experience with distributed systems design.
Debugging / optimizing code
Development Modern development practices.
A strong preference for CI / CD / Devops techniques
Containerisation technologies.
BNY Mellon
#J-18808-Ljbffr