Security and Infrastructure Engineer

This is a fully remote position, open to applicants in Canada.

📋 Description

• Take full ownership of cloud and platform security from start to finish across AWS and Azure, including Ada’s agentic AI platform.

• Architect, design, and manage security technologies across various layers such as cloud, network, identity, endpoint, and application.

• Develop cloud security reference architectures, threat models, and guardrails that align with zero trust principles and least privilege access.

• Oversee the lifecycle of security tools, which includes cloud-native security services, SIEM, CSPM, CIEM, EDR, DLP, and platforms for vulnerability management.

• Implement safety guardrails within the agentic platform and collaborate with the Reasoning Engine and Playbooks teams.

• Establish standards for secure coding, review processes, and threat modeling for new agentic features.

• Create security observability, detection, alerting, and response mechanisms integrated with Datadog and Sentry.

• Develop automated response and remediation workflows utilizing cloud-native automation, SOAR, and infrastructure as code.

• Lead investigations into cloud security incidents and participate in on-call duties related to security.

• Transform recurring security and infrastructure requests into self-service tools and incorporate security into CI/CD and deployment processes.

• Convert NIST SP 800-53, PCI DSS, CIS Benchmarks, and AWS Well-Architected requirements into actionable technical controls.

• Assist with vendor and dependency security, audits, risk assessments, and the collection of evidence.

• Act as a subject matter expert in cloud and platform security, mentor engineers, and influence architectural decisions to shape the long-term security posture.

• Deliver infrastructure that is secure by default, address gaps in agent guardrails, enhance incident readiness, and facilitate quicker secure engineering delivery.

• Within the first 90 days, map the attack surface and access model, replace one high-volume manual request with self-service tooling, and address a guardrail gap.

⛳️ Requirements

• A minimum of 8 years of experience in cloud, infrastructure, or security engineering, with a proven track record of setting technical direction across multiple teams.

• Extensive hands-on experience with at least one major cloud provider, preferably AWS; experience with Azure is advantageous.

• Strong expertise in designing and securing cloud IAM, networking, secrets management, and large-scale distributed systems.

• Significant experience with infrastructure as code, including tools like Terraform or CloudFormation, and policy as code implementation.

• Proficiency in building or managing detection and response systems, including SIEM, CSPM/CIEM, and cloud security monitoring solutions.

• Experience or a well-informed perspective on securing LLM and agentic AI systems, focusing on guardrails, safe tool usage, and failure isolation.

• A history of converting recurring security and infrastructure requests into self-service tools.

• Capability to translate compliance and risk requirements into technical implementations effectively.

• Ability to influence architectural and engineering decisions across teams while mentoring senior engineers.

• Comfortable working independently, taking ownership of long-term technical initiatives, and participating in security-related on-call duties.

🏝️ Benefits

• Unlimited Vacation: Recharge when you need to.

• Comprehensive Benefits: Extended health coverage, dental, vision, travel, and life insurance.

• Wellness Account

• Employee & Family Assistance Plan

• Flexible Work Schedule

• Remote-First, In-Person Friendly: Options to work from home or at our local hub.

• Learning & Development Budget

• Work from Home Budget

• Access to Cutting-Edge AI Tools

• Hands-On with LLMs

• A Thriving Industry: Join the forefront of innovation in AI, shaping the future of technology.

• Benefits and perks apply to full-time, permanent employees.