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Our Team: We are the App-ID Cloud team. Our engineering team is provided with an unrivaled opportunity to build the products and practices that will support our company growth over the next decade, defining the cybersecurity industry as we know it. If you see the potential of how incredible products can transform a business with AI, this is the team for you. If you don't wait for directions, instead, identifying new features and opportunities we have to just get better, this is your new career. We're seeking innovators - engineers who seek to design new products, designing state-of-the-art products that do not exist today. These engineers love to code with a drive to build global products and bring new ideas to develop security disciplines to solve real-world problems. We are looking for talent engineers who take ownership of their areas of focus and who are driven to pursue problems at every level. Collaboration is at the heart of our culture and we need engineers who can communicate at a high level and work well with multi-functional teams towards achieving a common goal.
Job Responsibility
Participate in the design and implementation of threat prevention & App-ID cloud services for public cloud and private cloud features
Participate in all phases of the product development cycle, from definition, design, through implementation and test
Provide real-time security services to customers
Work closely with peers across different teams and disciplines to shape solutions and integrate with other parts of the product
Contribute to team-wide efforts - code reviews, design reviews, technical and architectural decisions
Establish a clear technical and architectural vision for key projects
Work with PLM on new feature requirements
Work with QA and DevOps on new release deployments
Work with security researchers and data scientist on new feature requests
Requirements
BS/MS in Computer Science or Computer Engineering or equivalent military experience required
8+ years of software engineering experience, with a significant portion dedicated to designing and operating large-scale distributed systems in a cloud-native environment
Practical experience building and deploying AI agents or multi-agent workflows using frameworks like LangChain, LangGraph, CrewAI, or Semantic Kernel