3 часа назад
Senior Software Engineer (Cloud Security)
200 000 - 287 500$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Software Engineer (Cloud Security): Building software-defined security controls, monitoring services, and AI-augmented posture pipelines across hundreds of millions of assets and AWS, Azure, and GCP with an accent on secure architecture, scalable APIs, and automated cloud governance. Focus on designing resilient multi-cloud systems, applying AI/ML to risk scoring and prioritization, and making security controls testable, observable, and developer-friendly.
Location: Hybrid in Menlo Park, California, or Bellevue, Washington, United States
Salary: $200,000–$287,500 per year
Company
Snowflake provides a cloud data platform and is developing security capabilities for its products across three major cloud providers.
What you will do
- Build software-defined security solutions and services protecting and governing more than 600 million assets across AWS, Azure, and GCP.
- Automate cloud security controls for IAM, detection and monitoring, configuration management, and data protection.
- Develop real-time security monitoring, logging, and alerting using Snowflake technologies.
- Define and maintain public-cloud security baselines, policies, and standards.
- Design and operate AI-augmented pipelines that ingest posture and telemetry data, score risk, and surface high-impact issues.
- Own security workstreams end to end while contributing through design reviews, mentorship, documentation, testing, and observability.
Requirements
- 5+ years of software engineering experience or equivalent experience.
- Experience designing and owning secure, large-scale systems, including secure architecture principles and threat modeling.
- Software development experience with one or more of Java, C++, Go, or Python.
- Familiarity with distributed architectures and scalable APIs such as gRPC or REST.
- Hands-on experience with Kubernetes and infrastructure as code tools such as Terraform or Pulumi.
- Strong collaboration and communication skills, with a data-driven approach to scalable decision-making.
Nice to have
- Experience applying AI/ML to security detection, risk scoring, or prioritization.
- Experience building data pipelines for security operations.
- Proficiency writing, debugging, and optimizing SQL.
- Strong knowledge of algorithms and data structures.
- Experience designing concurrent, resilient services for high-demand, multi-cloud environments.
Culture & Benefits
- AI is treated as a high-trust collaborator and an integral part of problem-solving.
- Engineering work emphasizes experimentation, low-ego collaboration, and challenging conventional approaches.
- The security platform aims to make protection easy to deploy and maintain, increase developer autonomy, and deliver secure-by-default solutions.
- Work includes collaboration with engineering and cross-functional stakeholders.
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