AI-Driven DevOps Engineer - Auto-Remediation & Pipelines

Oxvenia; Pakistan; Remote; PKR 1,800,000 - 3,600,000; Full time

Job summary

Oxvenia is seeking an experienced DevOps/SRE engineer to bridge AI-powered automation with DevOps workflows. You will design and implement the auto-remediation engine, scan-result scoring models, and evidence-generation pipelines.

Applicants should have 3+ years in DevOps/SRE with scripting (Python, TypeScript), experience with LLM prompting or RAG, and proficiency with GitHub Actions, Terraform, and Docker. A strong grasp of compliance frameworks is required to translate findings into patches.

Qualifications

• 3+ years of DevOps/SRE experience with scripting (Python, TypeScript).
• Experience with LLM prompting, RAG, or agentic workflows in production.
• Proficiency with GitHub Actions, Terraform, and Docker.
• Strong understanding of SOC 2, HIPAA, or other compliance frameworks.
• Ability to translate security findings into actionable code patches.

Responsibilities

• Design and implement the auto-remediation engine.
• Develop scan-result scoring models and evidence-generation pipelines.
• Collaborate with security and engineering teams to patch findings.

Skills

DevOps/SRE experience

Python

TypeScript

LLM prompting / RAG

Tools

GitHub Actions

Terraform

Docker

Checkov

Job description

Oxvenia is seeking an experienced DevOps/SRE engineer to bridge AI-powered automation with DevOps workflows. You will design and implement the auto-remediation engine, scan-result scoring models, and evidence-generation pipelines.

Applicants should have 3+ years in DevOps/SRE with scripting (Python, TypeScript), experience with LLM prompting or RAG, and proficiency with GitHub Actions, Terraform, and Docker. A strong grasp of compliance frameworks is required to translate findings into patches.