What is this opportunity?

Senior Security Engineer to act as a hands-on technical leader inside our security org, part builder, part architect, part trusted partner to R&D. You'll sit in design reviews, push back (constructively) on architecture choices, prototype the controls we're missing, and help R&D ship faster and safer.

This role suits an engineer who thinks in systems, codes when needed, and is energized by securing modern AI-driven, multi-cloud environments.

What you'll do

• Act as a security architect for new initiatives. Join design and solution-concept meetings with R&D before code is written and help shape architectures that are secure by default. Produce threat models, reference designs, and decision docs that engineers actually use.
• Partner with R&D as a peer, not a gatekeeper. Embed with product and engineering teams. Translate security requirements into engineering language, and engineering trade-offs into risk language for leadership.
• Own security across our multi-cloud footprint (AWS, GCP, Azure). Design and implement controls for identity, network, workload, and data protection that work consistently across environments.
• Drive AI security. Build our defenses against threats specific to LLM and ML systems: prompt injection, model abuse, training-data integrity, agentic-workflow risks, MCP/tool-use exposure, secrets in prompts, and supply-chain risk in the AI stack. Help define what "secure AI development" means for us in practice.
• Lead data security initiatives. Classification, encryption, key management, DLP, access governance, and data-flow mapping.
• Evaluate and implement new technologies. Run POCs and deploy new tooling end-to-end. We expect you to have strong opinions on the security stack and to evolve it as the threat landscape shifts.
• Write code. Automate controls, build internal tools, contribute to detection pipelines, and integrate security into CI/CD.

Must-haves

• 5+ years in security engineering, application security, or cloud security, with meaningful time in a hands-on technical capacity
• Strong software development background — you've shipped production code and read others' code fluently.
• Deep experience securing multi-cloud environments, including IAM, networking, workload security, and infrastructure-as-code
• Architect-level thinking: ability to look at a system diagram and identify trust boundaries, blast radius, failure modes, and the controls that actually matter
• Hands-on experience with data security at scale, classification, encryption, key management, access controls
• Demonstrated experience introducing and operationalizing new security technologies, not just maintaining existing ones
• Track record of working closely with engineering teams; you're comfortable in design reviews and code reviews
• Direct experience with AI/ML security, securing LLM applications, agentic systems,model deployments, or AI infrastructure