Senior Engineer, Cloud Native AI Detection and Response

What will you be doing

Position Overview:

The Senior Engineer, Cloud Native AI Detection and Response will design, build, and operate enterprise grade cloud native services that power large scale security platforms. This role focuses on architecting highly scalable systems, developing reusable platform components, and driving operational excellence across distributed engineering teams while maintaining the highest standards of security, reliability, and performance.

Responsibilities:

• Architect enterprise grade solutions that scale from thousands to millions of requests per second
• Design and implement highly scalable microservices, frameworks, and platform components
• Build reusable platform libraries to accelerate development across multiple engineering teams
• Develop comprehensive automated tests with emphasis on reliability, accuracy, and performance
• Conduct code and design reviews with strong focus on security, testability, and scalability
• Integrate services across a broad ecosystem of internal services and application programming interfaces
• Drive rapid issue resolution, root cause analysis, and proactive system improvements
• Collaborate across engineering teams to drive testing best practices
• Mentor team members on secure coding practices, testing methodologies, and cloud native development
• Deliver with speed while maintaining high standards of reliability and security

Qualifications:

• Ten or more years of software development experience building enterprise grade products
• Five or more years of experience developing microservices in cloud native environments
• Strong computer science fundamentals including algorithms, data structures, and distributed systems
• Expertise in at least one cloud native programming language such as Go, Python, or Java
• Strong debugging skills with ability to troubleshoot complex distributed systems
• Proven experience deploying services to at least one major cloud platform including AWS, OCI, GCP, or Azure
• Experience with cloud monitoring, profiling, and optimization tools

Tools and Technologies:

• Deep understanding of cloud architectures and microservices
• Web services including REST, gRPC, Protocol Buffers, or similar application programming interface technologies
• Data storage technologies such as PostgreSQL, Redis, or comparable databases
• Container technologies including Docker and Kubernetes or similar orchestration platforms

Bonus Qualifications:

• Experience working for cybersecurity companies or security focused products
• Understanding of artificial intelligence and machine learning security challenges and mitigation strategies
• Experience with real time data processing systems such as Kafka, Pulsar, or Splunk
• Contributions to open source libraries or frameworks
• Hands on experience with Oracle Cloud Infrastructure, Google Cloud Platform, or Microsoft Azure
• Experience with Kubernetes, AWS, and application programming interface gateway technologies
• Golang development experience
• Experience with Microsoft Copilot ecosystem and Microsoft Agent Studio
• Experience building highly scalable and performant cloud native services on AW