7 дней назад
Sr. Engineer II, Cloud Native - AI Detection and Response (AIDR) (Hybrid, Sunnyvale) (AI)
160 000 - 250 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Sr. Engineer II, Cloud Native - AI Detection and Response (AIDR) (Hybrid, Sunnyvale) (AI) (Go/Python/Java): Architecting scalable cloud-native microservices and platform components for AI security services processing millions of events per second, with an accent on distributed systems, reliability, security, and performance. Focus on building reusable libraries, integrating APIs and data platforms, solving complex production issues, and operating services across large-scale cloud environments.
Location: Sunnyvale, California, USA; hybrid attendance required 2–3 days per week
Salary: $160,000–$250,000 per year, plus bonus and equity eligibility.
Company
Cybersecurity company building an AI-native platform that protects organizations from breaches and processes large-scale security data.
What you will do
- Architect and implement scalable cloud-native microservices, frameworks, and platform components.
- Build reusable platform libraries for multiple engineering teams.
- Develop tests focused on reliability, accuracy, security, and performance.
- Integrate services with the CrowdStrike ecosystem and REST, gRPC, and related APIs.
- Investigate production issues, perform root cause analysis, and implement preventive improvements.
- Review designs and code and mentor engineers on secure coding, testing, 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, microservices, databases, containers, Kubernetes, monitoring, debugging, and performance optimization.
- Experience deploying services to at least one cloud environment: AWS, OCI, GCP, or Azure; proven use of AI technologies is required.
Nice to have
- Cybersecurity or security-focused product experience.
- AI/ML security, MLOps, model deployment, evaluation, monitoring, and lifecycle management.
- Real-time data processing with Kafka, Pulsar, or Splunk.
- Experience with MLflow, Kubeflow, SageMaker, Vertex AI, Azure ML, or ML observability platforms.
- Open-source contributions and experience with GCP, OCI, Kubernetes, AWS, or API Gateway.
Culture & Benefits
- Flexible, autonomous work culture focused on responsible AI adoption and innovation.
- Health, physical wellness, and mental wellness programs.
- Competitive vacation and holidays, paid parental and adoption leave.
- Professional development opportunities, employee networks, neighborhood groups, and volunteer opportunities.
- Office amenities, bonuses, equity grants, health insurance, 401(k), and paid time off.
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