Senior Software Engineer - Cloud Security

SnowflakeMenlo Park, CA
$200,000 - $287,500

About The Position

At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. We are hiring a Senior Software Engineer for our Cloud Security team. This team reduces risk to Snowflake at scale through software-defined controls rather than one-off fixes, building the platforms and pipelines that make entire classes of problems go away. You won't just find problems; you'll ship the systems that improve and verify the security posture of Snowflake products across 600+ million assets and three cloud providers (AWS, Azure, and GCP), with a growing focus on using AI to reason over posture data at a scale humans can't.

Requirements

  • 5+ years of software engineering experience preferred, or equivalent experience.
  • Experience designing and owning secure, large-scale systems, with working knowledge of secure architecture principles and threat modeling.
  • A passion for developer experience: making security the default rather than a restriction.
  • Experience building software in one or more languages such as Java, C++, Go, or Python.
  • Familiarity with distributed architectures and building scalable APIs (e.g., gRPC, REST).
  • Strong collaboration and communication skills across engineering and cross-functional stakeholders.
  • A commitment to data-driven, scalable decision-making that holds up over time.

Nice To Haves

  • Experience applying AI/ML to security problems (detection, risk scoring, prioritization) and building the data pipelines that feed them.
  • Proficiency writing, debugging, and optimizing SQL for data-driven security operations, as a supporting capability.
  • A strong grasp of algorithms and data structures applied to complex problems.
  • Hands-on experience with Kubernetes and IaC (Terraform, Pulumi).
  • Experience designing scalable, concurrent, resilient services for high-demand, multi-cloud environments.

Responsibilities

  • Build solutions and services that operate, protect, and govern our security posture across 600+ million assets and three clouds (AWS, Azure, GCP).
  • Automate security controls across cloud environments, including core primitives: IAM, detection and monitoring, configuration management, and data protection.
  • Build real-time security monitoring, logging, and alerting, using Snowflake technologies to make Snowflake more secure.
  • Define and maintain security baselines, policies, and standards for public cloud platforms.
  • Design and operate continuous, AI-augmented pipelines that ingest posture and telemetry across hundreds of millions of assets, score risk, and automatically surface the highest-impact issues.
  • Own security workstreams end to end and raise the engineering bar through design reviews, mentorship, and technical guidance for the team.
  • Bring software engineering best practices to security work: documentation, testing, and observability, because a control you can't test, monitor, or reason about isn't a control.

Benefits

  • For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com
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