Senior Engineer, Cloud Native – AI Detection and Response

Architect and build next-generation AI Detection and Response cloud services processing millions of AI security events per second and managing petabytes of critical AI data
Architect enterprise-grade solutions scaling from thousands to millions of requests per second
Build reusable platform libraries accelerating development across multiple engineering teams
Drive operational excellence through rapid issue resolution, root cause analysis, and proactive system improvements
Collaborate across engineering teams to drive testing best practices
Design and implement scalable microservices, frameworks, and platform components
Develop comprehensive tests focused on reliability, accuracy, and performance
Conduct code and design reviews emphasizing testability, security, and scalability
Integrate with Crowd Strike ecosystem services and APIs
Analyze production root causes and implement preventive measures
Mentor team members on secure coding, testing methodologies, and cloud-native development

Requirements

• 10+ years of software development experience building enterprise-grade products
• 5+ years 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:
  Go, Python, or Java
• Deep understanding of cloud architectures and microservices
• Experience with REST, gRPC, Protocol Buffers, or similar API technologies
• Experience with PostgreSQL, Redis, or similar databases
• Experience with Docker, Kubernetes, or similar orchestration platforms
• Proven deployment experience in at least one cloud environment: AWS, OCI, GCP, or Azure
• Strong debugging skills for complex distributed systems
• Experience with cloud monitoring, profiling, and optimization tools
• Bonus: cybersecurity or security-focused product experience
• Bonus: AI/ML security knowledge
• Bonus: real-time data processing systems such as Kafka, Pulsar, or Splunk
• Bonus: open-source library or framework contributions
• Bonus: OCI, GCP, Azure, Kubernetes, AWS, API Gateway, Golang, MS Copilot Ecosystem, MS Agent Studio, and highly scalable cloud-native AWS services experience

Core Competencies

Demonstrates expertise in architecting and building scalable AI Detection and Response cloud services, with a strong focus on microservices, cloud-native development, and operational excellence. Proficient in mentoring teams on secure coding practices and implementing comprehensive testing methodologies.

Highest-signal resume keywords

• Microservices Development
• Cloud-Native Programming (Go, Python, Java)
• Cloud Architecture Expertise
• Distributed Systems Debugging
• API Technologies (REST, gRPC)

ATS Optimization Keywords

Hard Skills

• Software Development
• Microservices
• Cloud-Native Environments
• Algorithms
• Data Structures
• PostgreSQL
• Redis
• Docker
• Kubernetes
• Cloud Monitoring Tools

Soft Skills

• Collaboration
• Mentoring
• Problem Solving
• Root Cause Analysis
• Operational Excellence

Industry Keywords

• AI Security
• Real-Time Data Processing
• Cybersecurity
• Cloud Services
• Enterprise-Grade Products

Tools & Technologies

• AWS
• OCI
• GCP
• Azure
• Kafka
• Pulsar
• Splunk
• API Gateway
• MS Copilot Ecosystem
• MS Agent Studio