Practical Engineering Capabilities: Solid hands-on experience using Python (or similar) to automate tasks, Terraform to manage infrastructure, connect APIs, and manage infrastructure state, balanced with the judgement to use UI configurations when code isn't viable.
Cloud & Infrastructure Literacy: Proven experience configuring or hardening security controls within cloud (AWS/GCP) environments (e.g. IAM and network/identity boundaries) and handling data formats like JSON to parse logs.
AI-First Execution: Enthusiastic about actively leveraging advanced AI coding tools (such as Claude Code, Codex) to exponentially increase your engineering output, script generation, and delivery speed.
Pragmatic Security Mindset: A builder who views security as a business enabler. You focus on building practical defensive posture rather than filling out compliance checklists, with the instinct to identify actual systemic risk based on context.
Bias for Action: An execution-focused operator. When a security control drifts or a peer needs a detection mechanism, you write the script, open the PR, or modify the control to get it done.
Communication & Collaboration: The ability to debate technical IAM architecture details with a Platform Engineer and seamlessly explain to non-technical risk stakeholders why a specific control change matters.