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About the Role

State Street's Cyber Data & Analytics (CyberDNA) team is seeking a Sr. Platform Operations Engineer to help shape the next generation of cybersecurity data, analytics, and AI-powered platforms. This role supports the operational reliability, administration, monitoring, troubleshooting, and continuous improvement of enterprise cybersecurity and SIEM platforms. The ideal candidate will lead globally distributed teams supporting high-availability cybersecurity, SIEM, observability, log management, and security operations platforms in a large enterprise environment.

Responsibilities

Lead the support, administration, reliability, and day-to-day operations of enterprise cybersecurity, SIEM, observability, log management, and data platforms.
Support the operational roadmap for cybersecurity platform capabilities, including SIEM operations, detection support, observability, log monitoring, data ingestion, and reporting across the organization.
Support platform modernization and operational improvement initiatives across cybersecurity platforms, SIEM technologies, observability solutions, log management capabilities, and security operations tooling.
Provide technical leadership and mentorship for global support teams responsible for enterprise cybersecurity platforms, SIEM technologies, observability solutions, log management platforms, data ingestion pipelines, and operational analytics capabilities.
Manage and support enterprise SIEM and cybersecurity platform components, including search, indexing, clustering, data management, platform integrations, and operational support functions.
Administer and optimize SIEM and security operations capabilities to support security monitoring, threat detection, alert triage, notable event management, and incident investigation requirements.
Optimize platform operations by using monitoring alerts, performance trends, service metrics, and operational insights to improve reliability, reduce recurring issues, lower technical debt, and strengthen service resiliency.
Lead platform upgrades, migrations, modernization initiatives, and service improvement programs.
Support enterprise log pipeline and telemetry management platforms by monitoring data flow, troubleshooting routing or filtering issues, validating service health, and coordinating issue resolution.
Support integration of security and operational telemetry into Databricks Data Lake environments for analytics, reporting, and long-term data retention.
Monitor ingestion health, data quality, storage utilization, platform performance, and service availability across SIEM, log management, telemetry pipeline, and data platform environments.
Partner with Cyber Security, Infrastructure, Cloud Engineering, Application, and Service Management teams to support production issues, troubleshoot platform events, coordinate change activities, and deliver stable operational outcomes.
Improve operational support workflows for alerting, monitoring, telemetry pipeline health, incident response, and observability use cases.
Lead incident response, root cause analysis, problem management, change execution, and continuous improvement activities.
Define, implement, and continuously improve operational standards, governance, documentation, monitoring procedures, SOPs, and support models aligned to ITIL, change management, and Log Telemetry Monitoring control requirements.
Ensure compliance with enterprise security, audit, regulatory, and data lifecycle management requirements.
Mentor engineers, coordinate global support teams, manage vendor engagement, and contribute to strategic technology planning.

Requirements

Strong experience administering and supporting enterprise SIEM, cybersecurity, observability, and log management platforms in large-scale enterprise environments.
Deep understanding of SIEM concepts, security monitoring operations, threat detection, incident response, notable events, correlation searches, data models, and risk-based alerting.
Experience with log management, observability, monitoring, operational analytics, and enterprise data onboarding frameworks.
Hands-on experience with Cribl Stream and data pipeline management, including routing, filtering, transformation, and optimization of machine data.
Experience integrating log and security telemetry into Databricks Data Lake platforms for advanced analytics, reporting, and data science use cases.
Experience supporting cloud-based platforms, preferably AWS, along with strong Linux/Unix administration and troubleshooting skills.
Experience using scripting, automation, and version control practices to streamline operational support tasks, improve monitoring, reduce manual effort, and enhance platform reliability.
Working knowledge of ServiceNow, Jira, and Confluence for incident, problem, change, service request, Agile delivery, and technical documentation processes.
Knowledge of ITIL processes, operational best practices, compliance requirements, and service management disciplines.
Excellent communication, stakeholder management, and collaboration skills, with the ability to explain technical concepts to technical and non-technical audiences.
Strong ability to coordinate effectively with global teams across multiple time zones while managing multiple priorities.
Experience working in large enterprise environments supporting mission-critical platforms with high service availability and operational excellence expectations.
10+ years of technology infrastructure, platform engineering, security operations, or enterprise monitoring experience.
5+ years of technical leadership experience in a large enterprise environment.
Experience with cloud, DevOps, Splunk, observability, SIEM, security operations, or data platform technologies.

Skills

Splunk
QRadar
Elastic Search
Enterprise Security
Cribl Stream
Databricks Data Lake
AWS Cloud Services
Linux/Unix Administration
Python/Shell scripting
ServiceNow
Jira
Confluence
ITIL processes
SIEM
Cybersecurity platforms
Security monitoring
Log monitoring
Observability platforms
Data pipeline integration
Automation
Version control
Incident management
Problem management
Change management

Location

Primary location specified

Work Type

Full-time

Experience Level

Sr. Platform Operations Engineer
10+ years of technology infrastructure, platform engineering, security operations, or enterprise monitoring experience
5+ years of technical leadership experience in a large enterprise environment

Education Level

Bachelor’s degree in Computer Science, Engineering, Information Systems, or a related field
Relevant certifications preferred, such as AWS, Splunk, ITIL, CISSP, or related technology/security certifications

Salary/Compensations

$120,000 - $202,500 Annual

Benefits

Retirement savings plan (401K) with company match
Insurance coverage including basic life, medical, dental, vision, long-term disability, and other optional additional coverages
Paid-time off including vacation, sick leave, short term disability, and family care responsibilities
Access to our Employee Assistance Program
Incentive compensation including eligibility for annual performance-based awards
Eligibility for certain tax advantaged savings plans

About the Company

Across the globe, institutional investors rely on us to help them manage risk, respond to challenges, and drive performance and profitability.
We keep our clients at the heart of everything we do, and smart, engaged employees are essential to our continued success.
We are committed to fostering an environment where every employee feels valued and empowered to reach their full potential.
As an essential partner in our shared success, you’ll benefit from inclusive development opportunities, flexible work-life support, paid volunteer days, and vibrant employee networks that keep you connected to what matters most.
Join us in shaping the future.

Equal Opportunity

As an Equal Opportunity Employer, we consider all qualified applicants for all positions without regard to race, creed, color, religion, national origin, ancestry, ethnicity, age, disability, genetic information, sex, sexual orientation, gender identity or expression, citizenship, marital status, domestic partnership or civil union status, familial status, military and veteran status, and other characteristics protected by applicable law.