# Senior Software Engineer - Cloud Security

**Company:** [Snowflake](https://hotfix.jobs/companies/snowflake)
**Location:** Menlo Park, CA, Bellevue, WA
**Role:** Security Engineering
**Salary:** $200k – $288k/yr
**Experience:** 5+ years
**Skills:** AWS, Microsoft Azure, GCP, IAM, Threat Modeling, Java, C++, Go, Python, gRPC, Rest, SQL, Kubernetes, Terraform, Pulumi
**Posted:** 2026-09-02

> Build secure, large-scale platforms, controls, monitoring, and AI-augmented pipelines that improve Snowflake’s cloud security posture across hundreds of millions of assets and multiple cloud providers. Requires 5+ years of software engineering experience and expertise in secure distributed systems.

## Job Description

## Responsibilities
- Build solutions and services that operate, protect, and govern security posture across hundreds of millions of assets and AWS, Azure, and Google Cloud environments.
- Automate cloud security controls for IAM, detection and monitoring, configuration management, and data protection.
- Build real-time security monitoring, logging, and alerting using Snowflake technologies.
- Define and maintain public-cloud security baselines, policies, and standards.
- Design and operate continuous, AI-augmented pipelines that ingest posture and telemetry data, score risk, and surface high-impact issues.
- Own security workstreams end to end and contribute through design reviews, mentorship, and technical guidance.
- Apply software engineering best practices, including documentation, testing, and observability.

## Requirements
- 5+ years of software engineering experience preferred, or equivalent experience.
- Experience designing and owning secure, large-scale systems.
- Working knowledge of secure architecture principles 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.
- Ability to make data-driven, scalable decisions.

## Nice-to-haves
- Experience applying AI/ML to security problems such as detection, risk scoring, and prioritization.
- Experience building data pipelines for AI/ML security applications.
- Proficiency writing, debugging, and optimizing SQL.
- Strong grasp of algorithms and data structures.
- Hands-on experience with Kubernetes and infrastructure as code using Terraform or Pulumi.
- Experience designing scalable, concurrent, resilient services for high-demand, multi-cloud environments.

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