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The role involves designing and developing robust web applications using Django and React, performing testing and debugging, providing technical support, and collaborating with team members on system design. The ideal candidate should have strong experience in full stack development and be comfortable working in a dynamic environment.

As the Manager of Technical Support, you will oversee a team responsible for resolving customer issues, optimizing support processes, and ensuring high service quality. Your role includes coaching team members, tracking performance metrics, and enhancing customer satisfaction in a fast-paced SaaS environment.

As the Engineering Manager for the Integrations Platform team, you will lead the development and maintenance of SIEM and SOAR integrations. You will oversee project execution, foster team growth, manage performance, and collaborate on product requirements and strategies to meet customer needs effectively.

The Software Engineer II will be responsible for designing and developing backend features, conducting testing and debugging, providing technical support, collaborating with team members, and contributing to continuous learning. Emphasis is on producing high-quality code and engaging with open source tools.

The role involves developing automated solutions in Splunk for incident response and threat detection. Responsibilities include creating custom dashboards, optimizing incident response workflows, monitoring SIEM infrastructure, and maturing Splunk data models. Collaborating with teams to refine detection processes and documenting workflows are also key duties.

The Senior Software Engineer will lead the Customer Journey team, focusing on the development and maintenance of APIs and platforms to enhance customer onboarding experiences. Responsibilities include technical delivery, collaboration with product managers, conducting code reviews, and ensuring system reliability and user satisfaction, all while mentoring team members.

The Senior Software Engineer will optimize offline data processing systems using technologies such as PySpark, improve the reliability of data storage systems, and define data platform offerings across AWS and Azure to enhance internal engineering capabilities.