Director - Cyber Platform (Splunk/Kubernetes/Azure)

Capgemini
New York, NY, United States
8 days ago

Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Compensation
$144,227.0 - $225,368.0
Working hours
Regular working hours
Job source

Tech stack

Java (Programming Language) Application Programming Interfaces (APIs) Artificial Intelligence Microsoft Azure Big Data Cloud Engineering Configuration Management Complex Networks Cyber Security Information Systems Continuous Integration Data as a Services
+27 more
Information Engineering Software Debugging Linux DevOps Distributed Systems Python (Programming Language) Linux System Administration Performance Tuning Cloud Services Ansible Security Information and Event Management Systems Integration Data Logging Scripting Data Ingestion Event Driven Architecture Containerization Kubernetes Information Technology Apache Kafka Data Management Restful APIs Terraform Splunk Data Pipelines Golang Programming Languages

Job description

Cyber Platform Engineering performance optimization Microsoft Azure Automation scripting data engineering Linux administration DevOps & CI/CD Python REST APIs integration splunk

We’re seeking a future team member for the role of SVP/Director - Cyber Technology Platform 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

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

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

Benefits & conditions

3.73.7 out of 5 stars New York, NY 10003 $69.34 - $108.35 an hour - Contract, Pulled from the full job description

  • Health insurance
  • Retirement plan
  • Vision insurance
  • Dental insurance, The pay range that the employer in good faith reasonably expects to pay for this position is $69.34/hour - $108.35/hour. Our benefits include medical, dental, vision and retirement benefits. Applications will be accepted on an ongoing basis.

Apply for this position

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