BNY
From BNY's careers page
Status: listed on the employer's own careers page when we last checked (daily). Confirm on their site before applying.
Recognized as a top destination for innovators, BNY is where bold ideas meet advanced technology and exceptional talent.
SVP – Cyber Technology Engineer
At BNY, our culture allows us to run our company better and enables employees’ growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world’s investible assets. Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide.
Recognized as a top destination for innovators, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance – and this is what #LifeAtBNY is all about. Join us and be part of something extraordinary.
We’re seeking a future team member for the role of SVP – Cyber Technology Engineer to join our Technology Information Security Division Cyber Technology team. This role is in New York City, NY.
Design, engineer, and scale enterprise data ingestion pipelines for cyber platforms, including Splunk
Lead onboarding and integration of application, infrastructure, (especially Kubernetes and cloud-native) data sources
Engineer and optimize ingestion mechanisms including HEC, (Heavy) forwarders, syslog, and edge processing layers
Enable Kubernetes-based logging and observability integrations across containerized environments
Integrate cyber data platforms with cloud services (Azure) and modern application architectures
Improve data quality, normalization, and consistency across large-scale distributed systems
Mitigate systemic outages and reliability risks across critical cyber technology platforms
Analyze complex technical issues and implement scalable solutions across distributed environments
Design and implement automation and configuration management solutions using DevOps practices
Contribute to incident response, escalation support, and post-mortem analysis
Support system design, platform management, and capacity planning for ingestion and data services
Drive operational excellence and continuous improvement across the platform
Research, document, and present engineering solutions and architectural improvements
Collaborate across global teams to enable a scalable, self-service onboarding model
Mentor and guide junior engineers and contribute to team capability uplift
Bachelors of Science degree in Computer Science/Information Systems or related technical field involving systems coding/engineering, or equivalent work experience
Strong experience with large-scale data platforms (Splunk preferred, ELK/Kafka or similar acceptable)
Deep expertise in Kubernetes and containerized environments, including logging and observability integration
Strong knowledge of cloud platforms (Azure preferred) and hybrid (on-prem + cloud) architectures
Experience designing and operating data ingestion pipelines and distributed systems
Universal Forwarders, HEC, syslog, or similar ingestion technologies
Proficiency in one or more of the following: Python, Go, Java, or similar programming languages
Experience with configuration management and infrastructure-as-code (Ansible, Terraform, etc.)
Strong understanding of Linux systems, networking, and system internals
Experience troubleshooting large-scale distributed systems across complex networks
Experience integrating systems using APIs and event-driven architecture
Familiarity with CI/CD and modern DevOps practices
Solid understanding of risk culture, system controls, and risk reduction techniques
Experience with enterprise logging and observability platforms
Familiarity with data modeling, normalization, and schema design for log data
Experience integrating security technologies (SIEM, EDR, vulnerability platforms, etc.)
Exposure to AI / ML use cases on large-scale data sets
Experience with distributed systems design and performance optimization
Debugging and optimizing large-scale systems and data pipelines
Experience with containerization technologies and cloud-native architecture
Strong preference for CI/CD and DevOps-driven engineering practices
At BNY, our culture speaks for itself, check out the latest BNY news at:
BNY Newsroom
BNY LinkedIn
America’s Most Innovative Companies, Fortune, 2025
World’s Most Admired Companies, Fortune 2025
“Most Just Companies”, Just Capital and CNBC, 2025
BNY offers highly competitive compensation, benefits, and wellbeing programs rooted in a strong culture of excellence and our pay-for-performance philosophy. We provide access to flexible global resources and tools for your life’s journey. Focus on your health, foster your personal resilience, and reach your financial goals as a valued member of our team, along with generous paid leaves, including paid volunteer time, that can support you and your family through moments that matter.
BNY is an Equal Employment Opportunity/Affirmative Action Employer - Underrepresented racial and ethnic groups/Females/Individuals with Disabilities/Protected Veterans.
BNY assesses market data to ensure a competitive compensation package for our employees. The base salary for this position is expected to be between $120,000 and $253,000 per year at the commencement of employment. However, base salary if hired will be determined on an individualized basis, including as to experience and market location, and is only part of the BNY total compensation package, which, depending on the position, may also include commission earnings, discretionary bonuses, short and long-term incentive packages, and Company-sponsored benefit programs.
This position is at-will and the Company reserves the right to modify base salary (as well as any other discretionary payment or compensation) at any time, including for reasons related to individual performance, change in geographic location, Company or individual department/team performance, and market factors.
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