Join our team and you’ll be responsible for integrating security tools with our technology stack and CI/CD pipelines, while leveraging AI coding agents and the Model Context Protocol (MCP) to automate workflows and accelerate development.
Working in the Security Engineering / DevSecOps department you will support SOC, GRC, and AppSec teams by building intelligent integrations, automating security data processing, and delivering insightful reporting dashboards.
This is so important to us. By joining our team, you will be playing a vital role as together we reimagine the labour market to make it work for everybody.
Technology Stack ?
-AI & Tooling: AI Coding Agents , Model Context Protocol (MCP) ecosystems
-Languages: Python / Go / Bash / PowerShell / Java
-Infrastructure: Terraform
-CI/CD: GitHub / Bamboo / Bitbucket
-Cloud: AWS / Azure
-Security: WIZ, SentinelOne, Obsidian, etc.
-Observability: Grafana / Kibana
responsibilities :
Develop, optimize, and maintain backend integrations using modern scripting languages and AI coding agents to accelerate delivery and prototyping.
Design and implement APIs and cloud-based applications for the GRC department, including building and maintaining MCP servers/tools that securely expose internal security data and APIs to AI agents.
Integrate security solutions into CI/CD pipelines to enhance governance, ensuring AI-generated code is automatically scanned and validated.
Leverage data to support IT-GRC risk reporting, using AI agents to parse and structure complex security logs.
Collaborate with cross-functional teams to ensure seamless integration and continuous improvement across platforms and workflows.
Implement Infrastructure as Code (IaC) using Terraform and AWS CloudFormation, contributing to internal modules and embedding security-by-design principles into AI-driven templates and automation.
requirements-expected :
Strong experience integrating security tooling with DevOps pipelines and infrastructure automation, including collaboration with SOC, GRC, and AppSec teams to deliver automated workflows and reporting.
Experience working alongside AI coding agents and familiarity with the Model Context Protocol (MCP) or similar frameworks for extending LLM capabilities with external tools and data sources.
Solid knowledge of cloud platforms (AWS, Azure) and container orchestration technologies.
Proficiency in scripting languages such as Python and Bash for automating tasks, processes, and building security data pipelines.
Experience building dashboards and reports for security data visualization and metrics, with the ability to operate effectively in fast-paced, ambiguous environments.
offered :
Premium medical and dental care
Life insurance
Flex Benefits - Worksmile Cafeteria System (Multisport, vouchers, tickets etc.)
