Base Salary
$200k - $288k/yr
Responsibilities
- Build services and solutions that operate, protect, and govern security posture across AWS, Azure, and GCP.
- Automate IAM, detection and monitoring, configuration management, and data protection controls across cloud environments.
- Build 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 prioritize issues.
- Own security workstreams end to end and provide design reviews, mentorship, and technical guidance.
- Apply software engineering practices including documentation, testing, and observability to security controls.
Requirements
- 5+ years of software engineering experience preferred, or equivalent experience.
- Experience designing and owning secure, large-scale systems with knowledge of secure architecture and threat modeling.
- Experience building software in one or more of Java, C++, Go, or Python.
- Familiarity with distributed architectures and scalable APIs such as gRPC and REST.
- Strong collaboration and communication skills across engineering and cross-functional stakeholders.
- Experience applying AI/ML to security problems and building supporting data pipelines is a bonus.
- Proficiency with SQL for data-driven security operations is a bonus.
- Experience with algorithms and data structures is a bonus.
- Hands-on experience with Kubernetes and infrastructure-as-code tools such as Terraform and Pulumi is a bonus.
- Experience designing scalable, concurrent, and resilient services for high-demand, multi-cloud environments is a bonus.
Tech Stack
Categories
About Snowflake
**Snowflake is proud to be the Official Data Collaboration Provider for LA28 and Team USA.** Snowflake delivers the AI Data Cloud — a global network where thousands of organizations mobilize data with near-unlimited scale, concurrency, and performance. Inside the AI Data Cloud, organizations unite their siloed data, easily discover and securely share governed data, and execute diverse analytic workloads. Wherever data or users live, Snowflake delivers a single and seamless experience across multiple public clouds. Snowflake’s platform is the engine that powers and provides access to the AI Data Cloud, creating a solution for data warehousing, data lakes, data engineering, data science, data application development, and data sharing. Join Snowflake customers, partners, and data providers already taking their businesses to new frontiers in the AI Data Cloud.