Описание

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

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
Write code. Automate controls, build internal tools, contribute to detection pipelines, and integrate security into CI/CD

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

Senior Security Engineer