Senior Security Operations Engineer managing security for cloud-native environments at an AI research company. Focus on automation, compliance, and operationalizing security tools across platforms.
Responsibilities
Serve as trusted advisor to team’s leadership and partner teams by clearly articulating business risks associated with security issues
Harden our cloud-native environments (AWS, OCI, GCP) by introducing secure by default designs and features into network, tooling, and processes
Own and drive resolutions for enabling engineers to design, build, and use infrastructure securely at scale by deploying secure architectures using infrastructure-as-code and reusable code libraries
Manage IAM / RBAC for cloud infrastructure, and partner with IT on streamling authentication/authorization to ensure unified access control across the board
Deploy and operationalize some of the security services and tools (eg: SIEM, SOAR, domain monitoring, endpoint tooling, cloud security tooling)
Respond to security incidents and harden environments post-incidents
Support control monitoring and remediation for compliance initiatives
Gather and analyze security metrics to address security issues with cross-team dependencies
Be a problem solver who is empathetic to developer concerns and will employ constructive and flexible approach to building innovative solutions.
Requirements
5+ years previous experience in SecOps, DevSecOps, Cloud Security, Threat Detection & Response or software development with a strong focus on security tool onboarding and optimization
You’re a hands-on security engineer interested in automating controls
You have experience in managing cloud platforms (GCP, AWS, Azure, OCI) and Kubernetes environments
Familiiarty with CI/CD systems and SecOps workflows (Git, Terraform) in cloud environments (GCP, AWS, Azure, OCI)
You have experience with one or more of : infrastructure automation, network segmentation, system hardening, container and cloud security concepts, and security observability
You have experience with multiple languages such as Golang and/or Python
You are comfortable with ambiguity and are able to make informed decisions with little data
You employ a flexible and constructive approach when solving problems
You are able to make trade-offs between build vs. buy decisions - help build solutions and able to review what tools are available
You understand secure engineering best practices, can articulate problem statements and propose solutions to both technically savvy and non-technical audiences.
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
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