The CISO Cybersecurity Defense Platform team is looking to add an engineer to the
Analytics and Data Exploitation team. The Platform provides the technology services and
expertise required by IBM’s Cyber Threat Detection and Response teams. We support the
Advanced Threat Detection (threat hunting intelligence incident response) Vulnerability
Detection and Response Innovation and Remediation Security Operations Centers and
Command Centers teams to deliver enterprise-wide security to one of the world’s most
established technology companies. We process tens of billions of events per day meaning
effective analysis and data exploitation practices are critical to our success. This is a technical
position within the Analytics and Data Exploitation team who employ commercial open source
and in-house developed tools to deliver critical cybersecurity services such as event processing
automation complex analytics and support to digital investigations. This role operates across our
development test pre-production and production networks to create maintain and improve our
services –an important component of which is fault-finding and the ability to work within
complex dynamic environments.
The right candidate thrives in high-pressure situations and has practical experience working with
Big Data technologies –such as Spark Hadoop and Elasticsearch. The role requires a proven
practical knowledge of container orchestration technologies –specifically Kubernetes and RedHat
OpenShift. The work will include the design and optimization of container-deployed systems as
well as the day-to-day engineering and administration of the orchestration environment. This
includes cluster management Pod assignment / configuration application virtual routing
security container image registry management and optimization of the runtime engines. Wider
knowledge of data ingestion extraction transformation and loading technologies is important -
including Streamsets and Flink. The role is rounded-out by some software development tasks –
all related to cyber security. These will involve Java SQL Python and automation scripting so experience with DevSecOps methods is highly advantageous. The Platform team employs hybrid cloud hosting and this includes provisioning administration and management of services within environments spanning IBM Cloud Amazon Web Services and Microsoft Azure.
The CISO Cybersecurity Defense Platform team is looking to add an engineer to the
Analytics and Data Exploitation team. The Platform provides the technology services and
expertise required by IBM’s Cyber Threat Detection and Response teams. We support the
Advanced Threat Detection (threat hunting intelligence incident response) Vulnerability
Detection and Response Innovation and Remediation Security Operations Centers and
Command Centers teams to deliver enterprise-wide security to one of the world’s most
established technology companies. We process tens of billions of events per day meaning
effective analysis and data exploitation practices are critical to our success. This is a technical
position within the Analytics and Data Exploitation team who employ commercial open source
and in-house developed tools to deliver critical cybersecurity services such as event processing
automation complex analytics and support to digital investigations. This role operates across our
development test pre-production and production networks to create maintain and improve our
services –an important component of which is fault-finding and the ability to work within
complex dynamic environments.
The right candidate thrives in high-pressure situations and has practical experience working with
Big Data technologies –such as Spark Hadoop and Elasticsearch. The role requires a proven
practical knowledge of container orchestration technologies –specifically Kubernetes and RedHat
OpenShift. The work will include the design and optimization of container-deployed systems as
well as the day-to-day engineering and administration of the orchestration environment. This
includes cluster management Pod assignment / configuration application virtual routing
security container image registry management and optimization of the runtime engines. Wider
knowledge of data ingestion extraction transformation and loading technologies is important -
including Streamsets and Flink. The role is rounded-out by some software development tasks –
all related to cyber security. These will involve Java SQL Python and automation scripting so experience with DevSecOps methods is highly advantageous. The Platform team employs hybrid cloud hosting and this includes provisioning administration and management of services within environments spanning IBM Cloud Amazon Web Services and Microsoft Azure.
Minimum Requirements:
· 3 or more years’ experience in a big data role –such as operational analysis data engineering data science or data engineering
· Experience with container environments –such as Kubernetes and OpenShift
· Practical experience programming in high-level languages such as Python SQL Java
C / C++ R or similar to support automation initiatives
· Experience with (or a proven aptitude for) working within a fast-paced environment
where the success criteria are defined by external factors. This includes having to
change course quickly based on the evolving needs of a complex and dynamic
environment
· Strong experience with DevSecOps practices and technical deployments
· Experience with IBM Cloud AWS Azure or similar cloud environments
· Practical applied knowledge of the AWS security suite automation tooling runbook automation and configuration as code
· Direct experience with or demonstrable aptitude for Terraform Kubernetes and GHE/GitLab
· GitOps experience a plus
·    Networking in AWS with experience of VPC Firewall Security Groups transit / NAT/Internet gateways.
·    AWS certification
·    OpenShift Kubernetes experience is a strong advantage
·    AI / Agentic AI
·    Watson Orchestrate / Skillet / Orchestration platforms
·    Logic and reasoning for AI systems
·    Experience in Python GoLang Bash AWS lambda experience is an advantage
- Knowledge of image vulnerability remediation and STIG hardening