Description

You will design and develop in-house SIEM, SOAR, and investigative tools to build automated, scalable security solutions.

Responsibilities

• Develop and deploy production-ready software to drive automation and data-driven decision-making for the Enterprise Cybersecurity team.
• Build event-driven, scalable systems to deliver real-time alerts and automated responses.
• Integrate new data sources into the data lake using automated, reusable ingestion processes.
• Provide engineering support to reduce manual intervention and operational overhead for Cybersecurity Operations.
• Support the migration and integration of new tools and technologies within the security environment.

Required Skills

• 5+ years of experience in Data Engineering and AI/ML.
• Extensive programming experience in Python, Go, or Java.
• Proficiency in SQL and designing maintainable, scalable solutions.
• Expertise in distributed data processing and high-volume data services.
• Experience with cloud and data infrastructure including AWS and Databricks.
• Hands-on experience with Apache Spark, Docker, and Terraform.
• Strong understanding of CI/CD pipelines and version control using Git.
• Knowledge of RESTful APIs and data integration techniques.
• Familiarity with infrastructure-as-code tools like Terraform or Ansible.

Key Skills

Education

Any Graduate