Senior Engineer, Cloud Native – AI Detection and Response

Jobtailor

Sunnyvale (CA)

On-site

USD 180,000 - 240,000

Full time

5 days ago

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Job summary

Jobtailor is seeking an experienced architect to design and build scalable AI Detection and Response cloud services in a fast-paced environment. You will lead microservices development, handle millions of events per second, and guide cloud-native practices across multiple engineering teams.

Strong expertise in distributed systems, cloud platforms, and security is required, with a focus on reliability, performance, and collaboration.

Qualifications

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

Responsibilities

Architect and build AI Detection and Response cloud services processing millions of security events per second.
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 CrowdStrike ecosystem services and APIs.
Analyze production root causes and implement preventive measures.
Mentor team members on secure coding, testing methodologies, and cloud-native development.

Skills

Microservices Development

Python

Java

Distributed Systems

Cloud-Native

REST

gRPC

PostgreSQL

Redis

Docker

Kubernetes

Cloud Platforms

Security Best Practices

Tools

Docker

Kubernetes

PostgreSQL

Redis

API Gateway

Job description

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 CrowdStrike 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.

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