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Introduction

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.

Your role and responsibilities

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.

Required education
Bachelor's Degree
Required technical and professional expertise

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

 

 


Preferred technical and professional experience


·      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

ABOUT BUSINESS UNIT

IBM Systems helps IT leaders think differently about their infrastructure. IBM servers and storage are no longer inanimate - they can understand, reason, and learn so our clients can innovate while avoiding IT issues. Our systems power the world’s most important industries and our clients are the architects of the future. Join us to help build our leading-edge technology portfolio  designed for cognitive business and optimized for cloud computing.

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ABOUT IBM

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Restlessly reinventing since 1911, we are not only one of the largest corporate organizations in the world, we’re also one of the biggest technology and consulting employers, with many of the Fortune 500 companies relying on the IBM Cloud to run their business. 

 

At IBM, we pride ourselves on being an early adopter of artificial intelligence, quantum computing and blockchain. Now it’s time for you to join us on our journey to being a responsible technology innovator and a force for good in the world.

IBM is proud to be an equal-opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, neurodivergence, age, or other characteristics protected by the applicable law. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.

OTHER RELEVANT JOB DETAILS

IBM will not be providing visa sponsorship for this position now or in the future. Therefore, in order to be considered for this position, you must have the ability to work without a need for current or future visa sponsorship.

The compensation range and benefits for this position are based on a full-time schedule for a full calendar year. The salary will vary depending on your job-related skills, experience and location. Pay increment and frequency of pay will be in accordance with employment classification and applicable laws. For part time roles, your compensation and benefits will be adjusted to reflect your hours. Benefits may be pro-rated for those who start working during the calendar year.