Senior QA Automation & MLOps Engineer

About the role

OmniOps is seeking a Senior QA Automation & MLOps Engineer to lead quality assurance for its AI inferencing and data‑science infrastructure. The role focuses on guaranteeing reliability, security, and scalability of complex MLOps platforms, from automated cluster provisioning to live model inference.

Key responsibilities

• Define and execute QA strategies, test plans, and automation frameworks for AI and cloud‑native platforms.
• Design end‑to‑end integration tests across the MLOps lifecycle using Playwright and Python.
• Implement automated functional, regression, API, and security tests, including credential leakage detection and container image scanning.
• Plan and run performance, stress, and load testing for inference endpoints with JMeter or Locust.
• Integrate all testing layers into GitLab CI/CD pipelines and maintain zero‑downtime deployment gates.
• Collaborate with DevOps and engineering teams to resolve quality issues and mentor junior engineers.

Required profile

• Strong background in QA automation for cloud‑native and AI/ML systems.
• Hands‑on experience with CI/CD pipelines, especially GitLab.
• Proven ability to design security and performance tests for distributed, multi‑tenant environments.
• Excellent analytical skills and ability to work across cross‑functional teams.

Required skills

• Playwright
• Python
• GitLab CI/CD
• JMeter
• Locust
• SQL
• CI/CD concepts
• Cloud‑native architecture
• Security testing and vulnerability scanning