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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Security Engineer - Enterprise Security - **Company:** Lambda Labs - **Location:** Bellevue, WA, United States (Remote available) - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** Training Data, Access Network, Artificial Intelligence, Software as a Service, Cloud Computing, Digital Assets, Python (Programming Language), Machine Learning, OpenID, Zero Trust Network Access, Security Assertion Markup Language (SAML), Data Streaming, Okta, Large Language Models, AWS Lambda, Agentic-AI, Terraform, Unified Endpoint Management - **Published:** November 12, 2026 - **Apply:** https://www.careerbuilder.com/job-details/senior-security-engineer-enterprise-security-bellevue-wa--dd97d76e-5aa2-470d-b796-16722f0c8a8a ## About the Role Enterprise Protection, Cloud Computing, Artificial Intelligence (AI), Electricity, AWS Lambda, Work From Home, Data Modeling, Legal, Automation, Enterprise Protection, * 5+ years of demonstrated security engineering in enterprise or corporate security, with controls employees kept using rather than routing around. * A track record of independently owning security work end to end, making sound calls on your own and knowing when to escalate. * Thrives in high-speed, high-ambiguity startup environments where priorities shift regularly and structure must be built while executing. * Builds security employees can trust: transparent about what is monitored and why, respectful of their privacy, and enlisting people to fix problems rather than locking them out. * Hands-on depth in workforce identity: identity providers and SSO (e.g., Okta, Entra ID), federation and provisioning standards (SAML, OIDC, SCIM), MFA, and privileged access. * Practical experience securing corporate SaaS, managed endpoints (MDM, EDR), and network access built on zero trust principles. * Ships high-quality automation in Python, Go, or similar, including security work done with LLMs or agents that wasn't practical by hand. * Practical understanding of how people use AI assistants and agents at work, and where they create data and access risk. * Translates security trade-offs into terms IT, HR, Legal, and employees act on, earning adoption with and without authority (we're all on the same team!). Nice to Have * Experience securing contractor or personal-device access without managing the device. * Experience controlling where data flows in AI-heavy or SaaS-heavy environments, through data perimeter, DLP, or similar controls. * Experience isolating developer or agent workloads. * Experience managing identity, SaaS, or endpoint configuration as code (e.g., Terraform). * Experience supporting SOC 2, ISO 27001, or FedRAMP audits with evidence from corporate controls. * Enterprise security experience at a high-growth tech company or cloud provider. * Curiosity about how securing a workforce changes when much of its work is done by AI agents, and excitement to help work that out. ## Description Lambda Security protects some of the world's most valuable digital assets: training data, model weights representing immense computational investments, and the sensitive inputs required to leverage best-of-breed AI models. We're responsible for securing every byte that powers breakthrough artificial intelligence., * Make the safe way to use AI tools and agents the easy way, with approved tools, connectors, and agent environments. * Make sure humans, agents, and integrations move sensitive data only along reviewed paths, following Lambda's data protection strategy. * Build the automation and proof that access in every app changes when someone's job changes and ends when they leave. * Decide what a person, device, contractor, or agent must prove before reaching company systems, then engineer the checks and access paths that enforce it. * Keep every corporate device hardened, monitored, and patched, building on the MDM and EDR platforms IT runs. * Continuously find unmanaged SaaS, risky configuration, and sensitive data shared beyond where it belongs, and drive each finding to a fix. * Turn contested trade-offs, such as when a managed device is required, into clear rules with a defined path for exceptions. Working Across Lambda Security: * Ship Python or Go automation on top of the platforms IT runs, using Lambda-hosted LLMs, frontier models, and AI tools. * Measure control coverage and effectiveness, and partner with GRC so audit evidence comes straight from the controls. * Make corporate systems produce the telemetry D&R needs, and help respond to incidents in your area. * Help IT and engineering partners build secure instincts, and mentor newer members of the security team.