Senior Software Engineer - Identity, Data Security and Trust
Snowflake is hiring a Senior Software Engineer - Identity, Data Security and Trust for a remote role open to applicants in United States. It pays $200k-$288k a year and Level rates it ; you can apply on Snowflake.
Level's read on this job
- Works on AI ●●●○ is how Level rates this software engineer role: the daily work is on AI products, without building the model.
- Pay on this posting starts 19% higher than the typical software engineer posting on Level.
- This is listed as a remote role.
- The posting mentions security, identity access management and encryption among its tools and skills.
- Snowflake has 354 other open roles on Level.
AI in this role
Design and implement critical AI security capabilities, agent workflows, and identity frameworks for an AI-native enterprise platform.
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.
AS A SENIOR SOFTWARE ENGINEER AT SNOWFLAKE, YOU WILL: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
How we rate this
Senior Software Engineer - Identity, Data Security and Trust at Snowflake rates 70 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in software engineer jobs at this level
Pay
- This job starts at
- $200k
- Typical software engineer job
- $168k
This posting starts 19% above the typical software engineer job. See software engineer jobs
Questions you could be asked
- Tell me about a project where security was part of your work. What did you do?
- Tell me about a project where identity access management was part of your work. What did you do?
- Tell me about a project where encryption was part of your work. What did you do?
- Tell me about a project where oauth was part of your work. What did you do?
- Tell me about a project where rbac was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Security, Identity Access Management, Encryption, Oauth, and Rbac. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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