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Senior Vice President - Site Reliability Engineer at BNY

New York, New York, United States -

Full Time

Start Date

Immediate

Expiry Date

28 Jan, 26

Salary

0.0

Posted On

30 Oct, 25

Experience

10 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Site Reliability Engineering, Data Mining, SQL, Splunk SPL, Configuration Management, Python, Go, C, C++, Java, Perl, Ruby, AI, Machine Learning, Cloud Technology, DevOps

Industry

Financial Services

Description

Bachelors of Science degree in Computer Science/Information Systems or related technical field involving systems coding/engineering, or equivalent work experience Reliability Engineering (SRE) 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 Containerization technologies.

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Responsibilities

The Senior Vice President - Site Reliability Engineer will oversee the reliability engineering practices and ensure the performance of large-scale distributed systems. This role involves integrating products using APIs and optimizing cloud workloads.