Over 2,300 of the world’s leading organizations trust AlgoSec to help secure their most critical workloads across public cloud, private cloud, containers, and on\-premises networks.
AlgoSec is looking for an Automation Tech Lead to join our team.
*Reporting to:** QA Group Lead
*Location**: Gurugram, India (Hybrid)
*Direct employment**
*Main Responsibilities:**
Lead by example and develop your team members \- help them grow, adapt, take on more responsibilities and own their share of the product.
Be responsible for the team's deliveries – ownership of the QA part of the CI/CF flow
Collaborate with architects, engineers, DevOps and product managers to make sure the different requirements of the stakeholders are covered by QA.
This is a Hands on Position \- Design, create and execute automation scripts using Java and Selenium.
Support, maintain, and enhance all test case automation\-related activities during iterative development and regression testing.
Review user stories and functional requirements.
Assist with manual testing; execute manual test cases and scripts for products under development using test management/tracking tools.
Create and maintain test plans, cases, scenarios/scripts, in compliance with defined QA standards and methodologies. Working in scrum methodology.
Requirements
*Requirements:**
B.Sc. in Computer Sciences/Engineering or equivalent experience.
At least 5 years of experience in leading QA/Automation development teams in a SAAS product.
Good understanding of SAAS continuous integration and continuous deployment, methodologies and practices.
At least 5 years of experience writing automatic tests in object\-oriented programming: Java.
Experience in a manual QA position.
Experience in developing complex automation tests for client\-side (Selenium), server\-side (API) and DB.
Experience in QA of network security software products.
Good understanding of Prompt Engineering principles
Proven ability to effectively use AI chatbot tools (e.g., ChatGPT) for tasks such as test scenario creation, troubleshooting, and workflow optimisation
Experience working with AI\-powered coding assistants (e.g., GitHub Copilot, Cursor) within a development environment.
Proven ability to effectively use/develop AI Agents
Proven ability to effectively use/develop/configure MCPs
*Advantages:**
Experience with developing MCPs
Experience with transforming a non\-agentic system/SDLC into an agentic system/ SDLC
Experience with RAG pipelines and semantic search (vector databases)
Experience in Linux/UNIX environments
Experience working with AWS.
AlgoSec is an Equal Opportunity Employer (EEO), committed to creating a friendly, diverse and inclusive company culture.