Note: Should be open to night shifts Key Responsibilities Act as the primary technical point of contact and customer expert for Prisma SASE solutions. Develop a deep understanding of customer environments, use cases, and success goals. Identify potential risks to customer objectives and collaborate with the account team to design and implement mitigation strategies. Manage and resolve customer escalations effectively, balancing expectations and ensuring timely resolution. Collaborate cross-functionally with product and engineering teams to address customer issues. Maintain high levels of customer satisfaction through proactive support and communication. Participate in ongoing training to remain current on Prisma SASE technologies and networking trends. Mandatory Technical Experience 4- 8 years of experience in Networking, VPNs, and Firewalls. experience with security products and/or offerings Proven track record of managing customer escalations, balancing customer expectations, and negotiating successful resolutions. Good knowledge of Network protocols such as ARP, IP, TCP, UDP, DHCP, and DNS Good Knowledge of the routing protocols, such as OSPF and BGP Good Knowledge of Network security protocols such as IPsec, SSL, and GRE
We are looking for a skilled Python Full Stack Developer to join our Analytify project team. The role involves designing and developing scalable web applications using Python (Django/Flask) for backend development and collaborating with the Angular frontend team. The ideal candidate will have hands-on experience with API development, data processing frameworks, and cloud-based (AWS) services. Experience integrating AI/LLM components, working in agile environments, and building high-performance, secure applications is highly desirable. Key Responsibilities: Develop, test, and maintain backend applications using Python (Django and Flask) frameworks. Design, implement, and manage RESTful APIs for seamless integration with frontend systems. Work with Celery, Redis, and RabbitMQ for task management and asynchronous processing. Build and manage data processing workflows using Pandas, NumPy, and PySpark. Utilize AWS Lambda and other cloud-based services for serverless computing. Collaborate with the Angular frontend team for API integration and feature development. Integrate AI and LLM (Large Language Model) components into analytical modules as required. Ensure scalability, performance, and security across all developed applications. Participate in code reviews, architecture discussions, and sprint planning sessions. Manage and implement API integrations and other third-party integrations. Contribute to data analytics and business intelligence application development. Apply knowledge of microservices and event-driven architecture. Work effectively within cross-functional agile teams, demonstrating ownership and accountability. Required Skills & Qualifications: Bachelors degree in Computer Science, Software Engineering, or a related field Strong proficiency in Python, Django, and Flask. Hands-on experience with Angular (for integration and collaboration). Solid understanding of data processing frameworks (Pandas, NumPy, PySpark). Familiarity with Celery, Redis, and RabbitMQ. Experience with AWS (especially Lambda, EC2, and S3). Exposure to AI/LLM integration is a plus. Preferred Qualifications: Knowledge of microservices and event-driven architecture. Ability to work collaboratively with cross-functional teams in an agile environment. Strong ownership mindset and commitment to product quality.
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