Among computer occupations, all other, AI is already used for a large share of the tasks. Measured exposure for computer occupations, all other: 31% (high).

Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.

Check how this applies to your own job

Skills this job asks for

Say which you have and which you want to build. We use it to match you to jobs like this one.

About the job

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.

In this role, you’ll make an impact in the following ways:

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

To be successful in this role, we’re seeking the following:

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

Other supplemental valuable expertise/experience:

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

Here’s a few of our recent awards:

America’s Most Innovative Companies, Fortune, 2025

World’s Most Admired Companies, Fortune 2025

“Most Just Companies”, Just Capital and CNBC, 2025

Our Benefits and Rewards:

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.