SVP – Cyber Technology Engineer
About The Position
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.
Requirements
- 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
- Hands-on experience with: 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
Nice To Haves
- 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
Responsibilities
- 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
Benefits
- highly competitive compensation
- benefits
- wellbeing programs
- access to flexible global resources and tools
- generous paid leaves
- paid volunteer time
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Number of Employees
1-10 employees
