IBM CISO Cybersecurity Operations Platform (CSOP) is seeking a skilled Cybersecurity Engineer to join our Analytics and Data Exploitation team. This role is crucial in delivering advanced cybersecurity services and ensuring robust threat detection and response across our global infrastructure. You'll work with cutting-edge technologies and contribute to maintaining and enhancing our cybersecurity operations.

Key Responsibilities

1. Day-to-Day Operations. Support critical cybersecurity analysis and data processing workflows. Manage and maintain container-hosting environments, including Kubernetes and OpenShift.
2. Data Ingestion & Processing. Develop and optimize data ingest pipelines using technologies such as Apache Nifi and Kafka.
3. End-User Support. Collaborate with end-users to understand their analysis needs and implement solutions to meet those requirements.
4. Technology Enhancement. Contribute to the improvement of technology exploitation and support fault-finding and problem resolution.
5. Technical Collaboration. Work with a highly technical team to tackle significant IT challenges, ensuring effective and innovative solutions.

Required Technical and Professional Expertise

1. Experience. Minimum of 3 years in a big data role, such as operational analysis, data engineering, or data science.
2. Container Technologies. Practical experience with container environments (e.g., Kubernetes, OpenShift, Docker Swarm).
3. Programming Skills. Proficiency in high-level languages like Python, Java, C++, or similar.
4. Cloud Platforms. Experience with cloud environments, including IBM Cloud, AWS, or Azure.
5. Adaptability. Ability to thrive in a fast-paced, dynamic environment and adapt quickly to changing requirements.

Preferred Technical and Professional Expertise

1. Big Data Technologies. Applied knowledge of the Elastic/Cloudera suite and experience with big data tools like Hadoop.
2. Data Science. Experience with data science techniques, including feature extraction, data representation, and statistical analysis.
3. Machine Learning. Familiarity with machine learning algorithms and techniques.

About Business Unit

IBM Systems helps IT leaders rethink their infrastructure. Our servers and storage systems are designed to be intelligent, providing our clients with innovative solutions that power essential industries and pave the way for future advancements.

Your Life @ IBM

At IBM, we value growth, experimentation, and trust. Our culture encourages you to continuously learn, innovate, and collaborate, driving exceptional outcomes for our clients. We foster an environment where diverse perspectives are embraced, and everyone is empowered to make an impact.

About IBM

IBM is a global leader in technology and consulting, dedicated to improving business, society, and the human condition through intelligent, open hybrid cloud and AI strategies. We are committed to responsible innovation and making a positive impact on the world.

Location Statement

• For additional information about location requirements, please discuss with the recruiter following the submission of your application.

Being You @ IBM

IBM is an equal-opportunity employer committed to creating a diverse environment. All qualified applicants will receive consideration for employment without regard to various protected characteristics. We also adhere to fair employment practices regarding citizenship and immigration status.