**Introduction** Information and Data are some of the most important organizational assets in today’s businesses. As a Security Consultant, you will be a key advisor for IBM’s clients, analyzing business requirements to design and implement the best security solutions for their needs. You will apply your technical skills to find the balance between enabling and securing the client's organization with the cognitive solutions that are making IBM the fastest growing enterprise security business in the world. **Your role and responsibilities** e CISO Cybersecurity Operations Platform (CSOP) team is looking to add a Platform Technology Developer to its big data team. The Platform team 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 who, within the team employs 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. 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. The role is rounded-out by some software development tasks - all related to cyber security. These will involve Java, Python and shell 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. Support a team of individual contributors. 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, Kubernetes and OpenShift technologies. Develop and maintain ingest pipelines with technologies. Work with end-users to understand their analysis needs and play an active role in implementing what is required. 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 technology innovator and a force for good in the world. **Required technical and professional expertise** 2+ years in a big data role -such as operational analysis, data engineering, data science or data engineering 2+ years of experience programming in high-level languages such as Python, SQL, Java, Haskell, C / C++, R or similar Experience with container environments -such as Kubernetes, OpenShift or Docker Swarm Experience with IBM Cloud, AWS, Azure or similar cloud environments 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 machine learning algorithms and techniques 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.