We are seeking a Cloud Security Automation Engineer to join our team and lead efforts on an auto-remediation platform powered by intelligent automation and agentic AI. This role is ideal for a technically strong engineer passionate about cloud infrastructure, security automation, and large language model (LLM) integration.

Responsibilities

● Design and implement automated remediation pipelines to detect and respond to security risks in real-time across cloud environments (AWS, Azure, GCP).

● Work closely with DevOps and SecOps teams to harden infrastructure, develop detection logic, and build resilient security workflows.

● Use Python and infrastructure-as-code (IaC) tools (e.g., Terraform, CloudFormation) to automate cloud compliance and remediation tasks.

● Leverage agentic AI frameworks and LLMs (e.g., OpenAI, Anthropic, LangChain, AutoGen) to build intelligent agents that assist in security decision-making and orchestration.

● Contribute to the architecture of an LLM-powered remediation platform, acting as both builder and strategic thinker.

● Drive best practices around DevSecOps, observability, and policy-as-code.

Qualifications

● Experience building or contributing to auto-remediation systems.

● Background in cybersecurity response or SOC automation.

● Prior work with LangChain, AutoGen, or similar LLM orchestration tools.

● Familiarity with cloud compliance standards (CIS, NIST, SOC 2).

Experience : Minimum 5 years

Interested candidates can drop their resume at [email protected]