Infrastructure Security Engineer, Secret Clearance

🕒 May 28

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Cohere

WebsiteLinkedInAll Job Openings

11 - 50 employees

🤖 Artificial Intelligence

🏢 Enterprise

☁️ SaaS

Artificial Intelligence • Enterprise • SaaS

Cohere is a leading enterprise AI platform optimized for generative AI, search and discovery, and advanced retrieval. The company offers AI-powered applications designed to augment and elevate the global workforce, helping businesses thrive in the AI era. Cohere provides solutions such as embedding and reranking models, allowing enterprises to efficiently retrieve information and build powerful applications. The company offers flexible deployment options for enterprise-grade AI, on any cloud or on-premises, and provides extensive developer resources and support. Cohere is committed to scaling intelligence to serve humanity, making intelligence abundant, affordable, and accessible.

📋 Description

• Deploy, and manage infrastructure for Protected B classified environments, ensuring compliance with ITSG-33 and Canadian government standards • Design and implement security controls for cloud (AWS, GCP, Azure) and hybrid/multi-cloud deployments • Evaluate, implement, and manage security tools and technologies for training cluster and inference infrastructure hardening • Implement security best practices including IAM, encryption, logging, and monitoring • Participate in security incident response activities, including detection, analysis, containment, and remediation • Conduct regular vulnerability assessments and penetration testing of infrastructure components • Maintain comprehensive security documentation, procedures, and configurations for classified environments • Maintain active Secret+ security clearance and adhere to all Canadian government security protocols

🎯 Requirements

• 5+ years of previous experience in Infrastructure security • Proven experience with Protected B environment setup, configuration, and management • Knowledge of Canadian government security standards and compliance requirements • Have hands-on experience with Kubernetes in both development and production environments • Experience with infrastructure as code (Terraform) and configuration management • You are comfortable with ambiguity and are able to make informed decisions with little data. • You understand secure engineering best practices, can articulate problem statements, and propose solutions to both technically savvy and non-technical audiences. • Experience working with AI/ML systems or LLM-based applications

🏖️ Benefits

• An open and inclusive culture and work environment • Work closely with a team on the cutting edge of AI research • Weekly lunch stipend, in-office lunches & snacks • Full health and dental benefits, including a separate budget to take care of your mental health • 100% Parental Leave top-up for up to 6 months • Personal enrichment benefits towards arts and culture, fitness and well-being, quality time, and workspace improvement • Remote-flexible, offices in Toronto, New York, San Francisco, London and Paris, as well as a co-working stipend • 6 weeks of vacation (30 working days!)