Automation Team Lead, Israel

At AlgoSec, What you do matters!

Over 2,200 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.

Join our global team and help secure application connectivity—anywhere.

We are hiring an experienced, forward-thinking Automation Team Lead to lead the evolution of our quality engineering practices into an AI-driven testing ecosystem.

In this role, you will lead a global team of automation engineers while shaping the next generation of intelligent testing—leveraging AI/ML, generative AI, and data-driven approaches to dramatically improve quality, coverage, and delivery speed.

You will combine hands-on leadership with strategic thinking, driving both execution and innovation in how we validate complex security systems.

Reporting to: QA Group Manager

Location: Petah Tikva, Israel (Hybrid model)

Direct employment

Responsibilities

Lead, mentor, and grow a team of automation engineers, fostering engineering excellence and innovation

Own the team’s deliverables, quality outcomes, and technical direction

Design and implement scalable automation frameworks using Java, Selenium, and modern tooling

Drive adoption of AI-powered testing approaches, including:

Using LLMs to generate, refine, and prioritize test scenarios based on requirements, code, and production data

Intelligent test maintenance and self-healing mechanisms

Risk-based and predictive testing using data insights

Define and execute an Agentic vision for QA, balancing practical impact with long-term innovation

Integrate automation into CI/CD pipelines to enable fast, reliable releases

Collaborate with R&D, DevOps, and Product to ensure high-quality delivery

Review user stories and requirements with a quality-first mindset

Support and guide manual testing where needed, evolving it toward automation and AI augmentation

Establish and maintain QA standards, methodologies, and best practices

Promote a shift-left quality strategy, including observability and production validation

Work in an Agile (Scrum) environment

Requirements

Bachelor's degree in Computer Science or equivalent

2–3 years of experience leading QA Automation teams (preferably global teams)

5+ years of hands-on experience in software development (Java or C#)

Hands-on experience in applying AI to improve testing efficiency, coverage, or quality (e.g., test generation, failure analysis, or automation acceleration)

Familiarity with AI-assisted coding tools (e.g., Copilot, Cursor)

Understanding of concepts like:

Test generation using AI

Good understanding of Prompt Engineering principals

Proven ability to effectively use AI chatbot tools (e.g., ChatGPT) for tasks such as test scenario creation, troubleshooting, and workflow optimization

Experience working with AI-powered coding assistants (e.g., GitHub Copilot, Cursor) within development environments

Proven ability to effectively use/develop AI Agents

Proven ability to effectively use/develop/configure MCPs

Proven ability to effectively use/develop skills

Self-healing tests

Flaky test detection and prediction

Ability to evaluate and integrate emerging AI tools into QA workflows

Proven experience in building and scaling automation frameworks

Strong experience with Selenium and API testing

Experience in manual QA and test design

Experience in networking – mandatory

Strong problem-solving skills and ability to operate in a fast-paced environment

Excellent communication skills in English

Mindset of continuous innovation and experimentation

Advantages

Experience in QA of network security products

Experience working with Firewalls

Experience with AWS/cloud environments

Experience testing complex systems (UI, API, DB)

Experience in Linux/Unix environments

Experience building internal tools or platforms for QA productivity

Background in data analysis or metrics-driven quality engineering

Experience with developing MCPs

Experience with transforming non-agentic system/SDLC into agentic system/ SDLC

Experience with RAG pipelines and semantic search (vector databases)

AlgoSec is an Equal Opportunity Employer (EEO), committed to creating a friendly, diverse and inclusive company culture.

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