**Introduction** IBM Infrastructure is a catalyst that makes the world work better because our clients demand it. Heterogeneous environments, the explosion of data, digital automation, and cybersecurity threats require hybrid cloud infrastructure that only IBM can provide. Your ability to be creative, a forward-thinker and to focus on innovation that matters, is all support by our growth minded culture as we continue to drive career development across our teams. Collaboration is key to IBM Infrastructure success, as we bring together different business units and teams that balance their priorities in a way that best serves our client's needs. IBM's product and technology landscape includes Research, Software, and Infrastructure. Entering this domain positions you at the heart of IBM, where growth and innovation thrive. **Your role and responsibilities** The CISO Cybersecurity Operations Platform (CSOP) team is looking to add an engineer to the AI and Platform Development 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. In this role you will thrive in high-pressure situations and have practical experience working with Big Data technologies -such as Spark, Hadoop and Elasticsearch. You will have proven, practical knowledge of container orchestration technologies -specifically Kubernetes and RedHat OpenShift. Your 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. You will have knowledge of data ingestion, extraction, transformation and loading technologies is important including Streamsets and Flink. This role is rounded-out by some software development tasks all related to cyber security. This will involve Java, SQL, Python and Powershell scripting so experience with DevOps 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. Job Duties: * Contribute to the day-to-day work that supports our critical cybersecurity analysis and data processing workflows. * Design, manage and maintain parts of our container-hosting environments -specifically, the Kubernetes and OpenShift technologies. * Familiarity with SQL, Powershell, Azure, and M365 suite a plus. * Develop and maintain ingest pipelines with technologies like Streamsets and Flink. * Work with end-users to understand their analysis needs and play an active role in implementing what is required to realize them. * Support the team leadership to improve overall exploitation of technologies that best serve our requirements. * Support fault-finding, problem determination and break-fix tasks. * Work as part of a deeply technical, passionate team of engineers to tackle significant IT challenges. **Required technical and professional expertise** * A minimum of 3+ years’ experience in a big data role -such as operational analysis, data engineering, data science. * Experience with container environments such as Kubernetes, OpenShift or Docker Swarm. * Practical experience programming in high-level languages such as Python, SQL, Java, C / C++, or similar. * 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. * Experience with IBM Cloud, AWS, Azure or similar cloud environments. **Preferred technical and professional experience** * * Practical, applied knowledge of the Azure, M365 Suite, or Exchange with proven experience in using Powershell or Azure Cloud. * Direct experience with, or demonstrable aptitude for, Streamsets, Flink, or Steampipe. * Experience applying data science to practical problems: feature extraction, data representation, statistical analysis and visualization. * Experience with machine learning algorithms and techniques, including Skillet, watsonx.ai, or any other LLM’s or open-source tools like n8n. * Experience with AI/ML capabilities, especially MCP design or backend development to support an agentic approach, is preferred. 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.