At Lendable, we don’t do box-ticking security. We’re building automated guardrails and high-leverage tooling integrations to keep our business moving fast and safely. We are looking for a practical, execution-focused Security Engineer to manage the configuration, integration, and engineering lifecycle of our internal security tools.
This is a highly versatile engineering role for someone who loves to solve security problems with code and automation. You will act as the engineering engine room for the InfoSec team - collaborating closely with our SecOps, AppSec, Architecture, Security GRC and IT Systems leads to translate security requirements into working configurations, automated pipelines, and custom data integrations.
Whether it's writing Terraform to roll out a new edge security rule, stitching together SaaS APIs via Python to pull data into a centralised reporting app, or jumping into a web UI for some quick "click-ops" configuration, your focus is entirely on efficiency, posture improvement, and eliminating manual toil.
What You’ll Be Doing
Configuration as Code: Drive security configurations across our stack utilising a Terraform and GitOps workflow.
Tooling Optimisation: Get the most out of our InfoSec tooling through proactive setup, tuning, and configuration, ensuring we maximise our defensive utility and continuously improve our security posture.
Platform Integrations: Build and maintain high-leverage integrations between cloud providers, SaaS platforms, and our core security tooling - for example, engineering log pipelines into our SIEM or automating evidence feeds into our compliance platform.
Automation Engineering: Architect and deploy agentic workflows and lean automation scripts to eliminate manual toil, driving productivity and scalability for the InfoSec team.
Frictionless Control Implementation: Design and deploy practical guardrails, CASB, and data loss prevention (DLP) policies across network boundaries and collaboration tools – for example, Google Workspace. Your focus is on safeguarding data and enabling safe tooling usage without creating engineering bottlenecks.
What We’re Looking For
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.
Interview Process
TA Screening Call
Hiring Manager Call
Technical Interview
Culture Interview
