Snowflake · Seattle
Software EngineeringEngineeringRemoteFullTimeposted 7w ago
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 across our Identity, Data Security and Trust organization. These teams builds the security backbone of Snowflake — enabling customers to confidently bring their most sensitive data and workloads to the Data Cloud, empowering every Snowflake engineer to deliver the most secure platform at scale, and giving customers the tools to monitor, achieve, and maintain a strong security, governance, privacy, and compliance posture. As the agentic era accelerates, these teams are at the forefront of building AI-native security capabilities that protect the world's data.
Design and implement critical AI security capabilities — including controlled, audited agent workflows, MCP server and client security, agent identity frameworks, and admin guardrails — that form the foundation for secure agentic enterprise adoption
Build and evolve foundational identity and access management systems, including authentication protocols, SSO integrations, multi-factor authentication, OAuth/OIDC, SAML, SCIM, and fine-grained RBAC that scales to millions of objects and users
Design and develop core security infrastructure spanning secret management, key management, service identity, and end-to-end encryption across a natively multi-cloud environment
Build and maintain security tooling to define, monitor, enforce, and detect policy violations across the platform; implement automation and self-service processes that increase developer autonomy and promote secure-by-default engineering
Design and implement extensible, plug-and-play platform components that enable first-, second-, and third-party security detectors, responders, and visualizations to be built on top of Snowflake's Trust Center
Leverage industry-accredited benchmarks (e.g., CIS) to develop standards-based security posture assessments; contribute to behavioral analytics pipelines and PII attribution capabilities that help detect, prevent, and respond to threats and abuse vectors
Partner with engineering teams across the company to understand security pain points and deliver solutions that reduce friction without compromising safety
Lead the design and enforcement of secure network architectures to actively defend against ransomware attacks and detect sophisticated data exfiltration attempts.
Participate in design reviews, code reviews, and on-call rotations; hold a high bar for code quality, reliability, and sound technical decisions
5+ years of industry experience designing, building, and operating large-scale distributed systems in production cloud environments
Strong foundational computer science skills — data structures, algorithms, systems design, and distributed computing
Proficiency in one or more of Java, C++, Python, Golang, or Rust, with solid SQL skills for data-driven features
Experience shipping and on-calling production services with a focus on availability, reliability, and observability
A collaborative, low-ego approach to engineering — comfortable iterating quickly and working across PM, design, and peer engineering teams
BS in Computer Science, Computer Engineering, or a related technical discipline, or equivalent practical experience
Knowledge of identity and access management concepts and protocols — SAML, SCIM, OAuth, OIDC, Federation, MFA, or RBAC
Familiarity with security infrastructure domains such as secret management, key management, service identity, authentication, or authorization
Experience with database internals, query engines, or data platform systems
Exposure to machine learning or AI systems, particularly applied to anomaly detection, behavioral analytics, or risk classification
Contributions to developer platforms, SDKs, or multi-tenant extensibility frameworks
Experience deploying and operating services on Kubernetes or production cloud platforms (AWS, Azure, or GCP)
These teams sit at a rare intersection: the security, identity, infrastructure, and customer trust layers of one of the fastest-growing data platforms in the world. You won't be maintaining someone else's security layer; you'll be defining it. These are teams that value craft, curiosity, and collaboration, and that take pride in making complex security invisible to the developers and customers who depend on it. If you want a role where your technical decisions matter and your growth is tied directly to the scale of the platform you're protecting — and you're energized by the challenge of securing the agentic era before it fully arrives — this is it.
Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake.
How do you want to make your impact?
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