STATE STREET BANK AND TRUST COMPANY
1 week ago
Senior Splunk Platform Engineer, AVP
Sign up to save this job, get alerts, and apply with an optimized CV.
Company information
- Company
- STATE STREET BANK AND TRUST COMPANY
- Location
- Singapore Singapore
- Posted
- 1 week ago
Job description
State Street's Cyber Data & Analytics (CyberDNA) team is seeking a Platform Operations Engineer to help shape the next generation of cybersecurity data, analytics, and AI-powered platforms. Partnering closely with Global Cyber Security, Infrastructure Teams, and Enterprise Continuity Services, this team develops advanced data platforms, intelligent automation solutions, and engineering capabilities that enable cybersecurity teams to make faster, data-driven decisions and strengthen the firm's ability to detect, prevent, and respond to evolving cyber threats. Through innovation in AI, analytics, and automation, CyberDNA plays a critical role in protecting State Street, its clients, and its partners from increasingly sophisticated global threat actors.
The successful candidate will bring a strong interest in platform operations, hands‑on technical support, and a willingness to learn enterprise cybersecurity technologies, including SIEM, AI‑SOC, data routing, and Security Lakehouse platforms. This role will support the day‑to‑day monitoring, troubleshooting, incident response, change activities, and platform administration needed to maintain service stability, availability, and reliability. Success requires a foundational understanding of production support, IT service management, operational procedures, documentation, and continuous improvement in a regulated enterprise environment.
What You Will Be Responsible For- Support the administration, reliability, and day‑to‑day operations of enterprise platform administration for enterprise cybersecurity technologies, including SIEM, AI‑SOC, telemetry routing, and Security Lakehouse platforms.
- Support platform reliability, availability, performance, and operational readiness through proactive monitoring, incident management, and continuous improvement.
- Support cybersecurity teams including Detection Engineering, Threat Intelligence, Threat Hunting, Forensics, and SOC/Cyber Defense operations.
- Support platforms such as Splunk, Enterprise Security, Cribl, Databricks, Elastic, and other cybersecurity analytics technologies.
- Support platform upgrades, migrations, modernization initiatives, and operational transformation programs.
- Monitor and support major incident response, root cause analysis, problem management, and change execution activities.
- Monitor and support platform health, telemetry ingestion, data quality, storage utilization, and service performance across cybersecurity data platforms.
- Support and maintain operational standards, governance, SOPs, monitoring procedures, and ITIL‑aligned support processes.
- Support compliance with cybersecurity, audit, regulatory, and operational control requirements.
- Support continuously improves operational standards, governance, documentation, monitoring procedures, SOPs, and support models aligned to ITIL, change management, and Log Telemetry Monitoring control requirements, while measuring success through operational metrics and service performance indicators.
- Provide 24x7x365 operational support through an on‑call rotation, collaborating with globally distributed engineering and operations teams to maintain platform reliability and service continuity.
These skills will help you succeed in this role
- Strong experience administering and supporting enterprise‑scale cyber security platforms including technologies such as Splunk, QRadar, Elastic, and similar security operations solutions.
- Deep understanding of security monitoring, threat detection, incident response, correlation searches, notable event management, data models, and risk‑based alerting methodologies.
- Hands‑on expertise to support telemetry and data pipeline solutions such as Cribl Stream, including data routing, transformation, filtering, enrichment, and optimization of machine data at scale.
- Experience integrating security and operational telemetry into Databricks or similar data lakehouse platforms to support advanced analytics, reporting, machine learning, and AI‑driven use cases.
- Strong knowledge of cloud‑based infrastructure and platform operations, preferably on AWS & Azure , combined with solid Linux/Unix administration, troubleshooting, and performance tuning skills.
- Proficiency in scripting, automation, and version control practices to improve operational efficiency, automate repetitive tasks, enhance monitoring capabilities, and increase platform reliability.
- Working knowledge of ServiceNow, Jira, and Confluence, with experience supporting incident, problem, change, service request, Agile delivery, and technical documentation processes.
- Solid understanding of ITIL principles, operational best practices, service management disciplines, governance frameworks, and compliance requirements in a large enterprise environment.
- Exceptional communication and stakeholder management skills, with the ability to effectively communicate technical concepts and operational updates to a diverse audience.
Required skills
- databricks
- optimization
- audit
- compliance
- documentation
- incident response
- reliability
- governance
- reporting
- support processes
- jira
- ai
- aws
- troubleshooting
- automation
- availability
- continuous improvement
- azure
- elastic
- machine learning
- version control
- itil
- change management
- analytics
- confluence
- data quality
- agile delivery
- cybersecurity
- stakeholder management
- root cause analysis
- scripting
- servicenow
- enterprise security
- modernization
- performance tuning
- data models
- siem
- splunk
- threat detection
- transformation
- telemetry
- technical documentation
- security operations
- problem management
- it service management
- sops
- data pipeline
- regulatory
- operational procedures
- threat intelligence
- cloud-based infrastructure
- soc
- forensics
- production support
- migrations
- data lakehouse
- upgrades
- qradar
- governance frameworks
- threat hunting
- data platforms
- operational standards
- enrichment
- platform administration
- service performance
- on-call rotation
- platform health
- detection engineering
- filtering
- itil principles
- infrastructure teams
- operational best practices
- service request
- cyber defense
- machine data
- cribl
- operational transformation
- service stability
- data routing
- major incident response
- regulated enterprise
- change execution
- service performance indicators
- monitoring procedures
- telemetry ingestion
- platform operations engineer
- ai-soc
- security lakehouse
- global cyber security
- enterprise continuity services
- cribl stream
- storage utilization
- operational control requirements
- 24x7x365
- correlation searches
- notable event management
- risk-based alerting
- linux/unix administration
- service management disciplines
Interested in this position?
Create your free account and tailor your CV to match this job.