R&D Manager - AI Security Automation (12-17 yrs)

We're looking for a highly skilled and experienced Manager for our Automated Security Operations Center (SOC) team. This role is pivotal in leading a high-performing team to build and enhance cutting-edge automated security solutions. You'll leverage your deep technical expertise in backend development, cloud platforms, and data processing to drive the integration of security tools and emerging AI/LLM technologies, ultimately strengthening our cybersecurity posture.

Responsibilities :

- Lead, mentor, and grow a team of talented engineers focused on automating SOC workflows and enhancing security operations.

- Drive the design, development, and implementation of robust backend systems using Python and Go for security automation.

- Oversee the hands-on management and optimization of our cloud infrastructure, leveraging AWS, Kubernetes, and Terraform.

- Architect and implement solutions on automation platforms like Airflow and build out robust CI/CD pipelines using GitHub Actions.

- Develop and manage real-time data processing pipelines with technologies like Kafka and Spark.

- Guide the integration of critical security tooling, including SIEMs (Splunk, Chronicle), EDRs (CrowdStrike), and SOAR platforms, into automated workflows.

- Explore, evaluate, and implement emerging AI/LLM technologies such as AWS Bedrock Flows and Databricks MLFlow to enhance security detection and response capabilities.

- Provide architectural guidance and contribute to the product roadmap for the Automated SOC team, aligning with overall security strategy.

- Foster strong cross-functional collaboration with engineering and security operations teams to ensure seamless integration and deployment of automated solutions.

- Possess deep familiarity with cybersecurity principles and SOC workflows to effectively guide the team and optimize security processes.

Requirements :

- Strong backend development skills with extensive hands-on experience in Python and Go.

- Proven hands-on cloud experience with AWS, Kubernetes, and Terraform.

- Deep familiarity with automation platforms (i.e., Airflow), CI/CD practices (GitHub Actions), and real-time data processing technologies (Kafka, Spark).

- Demonstrated experience managing high-performing engineering teams.

- Experience building systems that integrate various security tooling, including SIEMs (Splunk or Chronicle), EDRs (CrowdStrike), and SOAR platforms.

- Familiarity with emerging AI/LLM technologies like AWS Bedrock Flows and Databricks MLFlow.

- Essential familiarity with cybersecurity concepts and SOC workflows.

- Ability to effectively guide architecture, define product roadmaps, and facilitate cross-functional collaboration across engineering and security operations.

- Excellent problem-solving, communication, and leadership skills.