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Automation Lead

Huntingcube Recruitment Solution

Gurugram, Haryana, India · Tempo pieno

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Esperienza
Qualsiasi
Stipendio
Aperture
1
Pubblicato
7 ore fa
Modalità di lavoro
In ufficio
Istruzione
Qualsiasi laureato
Requisiti di ammissibilità
Any graduate is eligible to apply.
Riprendere
È necessario candidarsi

Dove lavorerai

Descrizione del lavoro

About the Company

This role is with a product-focused cybersecurity organization that builds solutions for network security policy management, application connectivity security, and hybrid cloud security. Its platform is designed to help businesses streamline network security operations, lower exposure to risk, and maintain compliance across on-premises, cloud, and hybrid infrastructures.

Role Overview

The Automation Lead will head the QA automation function within a SaaS product environment, combining technical ownership with team leadership. The position requires deep hands-on expertise in automation engineering, testing across multiple layers, and collaboration with cross-functional teams to improve release quality and CI/CD effectiveness.

Key Responsibilities

  • Guide and support the QA automation team while ensuring strong execution in a SaaS product setup.
  • Build, maintain, and enhance automation frameworks using Java and Selenium.
  • Cover automation for UI/client-side flows, APIs, and database validations.
  • Partner with development, architecture, DevOps, and product teams to align testing efforts.
  • Strengthen quality ownership throughout the CI/CD pipeline.
  • Contribute to manual testing, regression cycles, and test strategy/planning activities.

Mandatory Skills and Experience

  • Practical, hands-on expertise in Java and Selenium.
  • Experience validating APIs and testing databases.
  • Solid understanding of CI/CD concepts and working practices.
  • Prior involvement in manual testing activities.
  • Exposure to network security software products.
  • Hands-on use of AI-based tools such as ChatGPT, GitHub Copilot, Cursor, prompt engineering approaches, AI agents, and AI-assisted development workflows.
  • Working knowledge of AWS.
  • Strong communication and team leadership abilities.

Preferred Experience

  • Exposure to MCPs, RAG pipelines, semantic search, and vector databases.
  • Familiarity with Linux or UNIX environments.

Eligibility

Any graduate can apply.

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