**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 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 IBM is committed to creating a diverse environment and 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, caste, genetics, pregnancy, disability, neurodivergence, age, veteran status, or other characteristics. IBM is also committed to compliance with all fair employment practices regarding citizenship and immigration status.