Lead SOC Engineer (Devops)

Overview The SOC Lead Engineer, DevOps is a specialized technical role responsible for managing and optimizing large scale platform and data operations within the Security Operations Center (SOC). This individual is proficient in a wide array of big data and DevOps/Platform related tools and technologies. This position requires at least 8 years of experience in DevOps, Big data environments and a solid understanding of Operating Systems, APIs, (ETL) processes, and scripting. Responsibilities Key Responsibilities - Manage and optimize large-scale data operations and big data technologies. - Develop scripts and leverage automation tools to streamline operations and minimize manual intervention. This includes automating deployment processes, system configurations, and routine maintenance tasks. - Involve in architectural discussions and provide the best solution following standard design patterns. - Provide expert support for system management, monitoring, and troubleshooting. Identify, diagnose, and resolve system issues to minimize downtime. - Develop and maintain ETL/ELT processes, standards, and procedures for data management to ensure data accuracy and integrity. - Continuously monitor, manage, optimize, and report on the performance of SOC solutions, identifying and resolving any issues or bottlenecks, incidents, and resolutions. - Develop, implement, and maintain strategies for data collection, analysis, data processing, and data security using tools like Flink, Spark, CRIBL, Hadoop, ELK, Cloudera, and Data Lake. - Ensure the optimized operations of big data tools within the SOC. - Collaborate with different teams to understand data requirements and ensure data availability and quality. - Participate in continuous process improvements to increase SOC efficiency and effectiveness. - Contribute to SOC strategy and initiatives related to big data, platform and devops engineering and management. Qualifications Job Specifications Skills/Certifications (Technical & Non-Technical) Skills - Solid understanding of hosted and cloud platforms (AWS, Azure, Google Cloud) and their services. - Proficiency in working with various Operating Systems (OS) and APIs. - Proficiency in big data technologies and distributed compute systems such as ELK, CRIBL, Apache Kafka, Data Lake House, and Cloudera. - Experience with microservices architecture and containerization technologies (e.g., Docker, Kubernetes). - Extensive knowledge in Git and automated build and deployment tools (such as Jenkins, Azure DevOps Pipelines) and utilizing Ansible, Terraform, etc. in hybrid environments. - Knowledge of Gitops process and experience with tools like Argo CD, Flux CD etc. - Strong programming skills, particularly in Python and Bash scripting, for automating data processes and troubleshooting/debugging. - Extensive knowledge of data management and security principles, including data processing, normalization, data quality, data encryption and database management. - Good to have an understanding or hands-on experience with ETL/ELT processes, Big Data tools and Data Lake. - Proficiency in SQL and NoSQL for data manipulation and retrieval. - Excellent problem-solving skills, with the ability to make decisions under pressure. - Stakeholder management and experience in building high performing teams. - High proficiency in written and verbal communication. - Exceptional collaboration and team development skills including capacity planning. Certifications - Cloud-related certifications like AWS Certified Solutions Architect, Google Professional Cloud Architect, or Microsoft Certified: Azure Solutions Architect Expert. - Certified Kubernetes Administrator (CKA) or Certified Kubernetes Application Developer (CKAD) would be beneficial. - Cisco CCNA R&S - CompTIA Security+, LPIC certifications or similar would be beneficial. Minimum Work Experience - At least 8 years of experience in big data and platform engineering in a cybersecurity context. - Considerable experience working with a range of big data technologies and tools, cloud environments, and practical knowledge of applying best practices of data security Education - Bachelor’s degree in computer science, Information Technology, Cybersecurity, or related field. - Master's degree in data science or related is a bonus.

• Lead SOC Engineer (OT Cybersecurity)

  CPX · Abu Dhabi, Abu Dhabi Emirate, United Arab Emirates

• Senior Engineer – SOC (SIEM)

  CPX · Abu Dhabi, Abu Dhabi Emirate, United Arab Emirates

• Senior Engineer – SOC (SOAR)

  CPX · Abu Dhabi Emirate, United Arab Emirates

• Lead SOC Engineer (SIEM) (CPX)

  CPX · Abu Dhabi, Abu Dhabi Emirate, United Arab Emirates

• Senior SOC Engineer - Azure Defender XDR

  CPX · Abu Dhabi Emirate, United Arab Emirates