Full-Time

QA Engineer

Shopify, Coty - Chennai

Photon

Photon

Global AI and digital solutions provider

No salary listed

Chennai, Tamil Nadu, India

In Person

Category
QA & Testing (1)
Requirements
  • Adhere to CI/CD (Continuous Integration/Continuous Deployment) for Automation framework.
  • Use an easy-to-understand framework, preferably Behaviour-Driven Development implemented in a Given, When, Then format.
  • Provide comprehensive reporting and overview of what was tested, including the number of tests executed as part of a release, covering regression and smoke testing scenarios.
  • All issues raised during testing must be reported in Jira.
  • Maintain a common repository for all test cases in Jira, accessible, including both manual and automated tests.
  • Implement a regression suite maintenance process that includes handling production defects to prevent the recurrence of bugs in production.
  • Do not maintain separate smoke and regression suites but use test case tagging to run only smoke or only regression tests, or both.
  • Implement unit testing during the development cycle, and share the details.
  • Optimise the handling of the Automation backlog, which includes tests and bugs.
  • Efficiently manage defects through effective Root Cause Analysis (RCA) sessions and take actions to avoid their recurrence.
  • Provide brand-wise reporting for regression testing to allow better insights into the testing coverage.
  • Focus on introducing API testing to reduce the reliance on UI testing for functionality checks.
  • Daily maintenance of the regression suite to address failing and flaky test cases.
  • Implement Requirement Traceability to map requirements to test cases.
  • Have dedicated Test environments with Production data, configuration, and content synchronised with the production environment.
  • Update the regression suite based on the progression of test cases as new functionalities are added or existing ones are modified.
  • Clear and designated Single Points of Contact (SPOCs) for specific queries within the AMS team covering deployment-related queries and environment-related queries.
Responsibilities
  • Provide coverage of regression and smoke testing as part of testing activities.
  • Participate in RCA sessions and implement actions to prevent recurrence of defects.
  • Maintain defect management and ensure defects include steps to reproduce, evidence, environment details, test data, expected and actual results, and requirement reference.
  • Draft test cases before sprint start and ensure QA team reviews them; final QA sign-off should be from QA team.
  • Ensure test cases have detailed test steps, actual results, and expected results with evidences (screenshots, video recordings) and link related bugs to the Jira ticket (story/epic).
  • Map requirements to test cases using a Requirement Traceability Matrix.
  • Maintain dedicated test environments synchronized with production data and configuration.
  • Keep the regression suite updated as new functionalities are added or existing ones are modified.
  • Provide clear visibility of what is being tested with evidences and related bugs linked to Jira tickets.
  • Document SPOCs in Confluence for deployment and environment queries to enable quick reference.
Desired Qualifications
  • Brand-wise reporting for regression testing.
  • Introduce API testing to reduce reliance on user interface testing for functionality checks.
  • Daily maintenance of the regression suite to address failing and flaky test cases.
  • Dedicated SPOCs documented under the Confluence page for quick reference.

Photon helps large enterprises accelerate AI adoption and digital growth. It delivers AI management, digital innovation, product design thinking, and engineering to implement and run AI solutions, scale products and experiences, and improve operations. By serving thousands of employees across many countries and working with a sizable portion of the Fortune 100, Photon combines global delivery with a broad skill set to handle billions of daily touchpoints. Its goal is to keep clients agile and future-ready by expanding AI capabilities and digital initiatives across industries.

Company Size

N/A

Company Stage

N/A

Total Funding

N/A

Headquarters

London, United Kingdom

Founded

N/A

Simplify Jobs

Simplify's Take

What believers are saying

  • Generative AI boosts Photon's UX/UI prototyping for Fortune 100 clients.
  • Omnichannel MarTech consolidation expands Photon's Salesforce integrations.
  • AI personalization aligns with Photon's data-driven 1 billion interactions.

What critics are saying

  • Salesforce Einstein GPT undercuts Photon's integrations for Fortune 100 clients.
  • Accenture's Navisite acquisition steals 40% of Photon's Fortune 100 clients.
  • TCS launches rival Digital HyperExpansion in Q1 2026, undercutting pricing.

What makes Photon unique

  • Photon manages 1 billion daily customer interactions via Digital HyperExpansion.
  • Photon deploys 7,500 digital engineers for Fortune 100 infrastructure modernization.
  • Photon excels in vertical-specific consulting for financial services and healthcare.

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Benefits

Health Insurance

Dental Insurance

Vision Insurance

401(k) Retirement Plan

Paid Vacation

Paid Holidays

Performance Bonus

Company News

AiThority
Mar 23rd, 2026
Exein unveils next-generation runtime security to protect the ai-native world.

Exein unveils next-generation runtime security to protect the ai-native world. * Photon blocks cyberattacks before execution across physical AI and IoT, autonomous AI agents and cloud and edge infrastructure * Kernel-level prevention sets a new standard beyond traditional user-space detection * Builds on Exein's position as the world's largest runtime security provider, protecting over two billion devices Mar 23, 2026 Prev Next 1 of 42,872 Exein, the global leader in runtime cybersecurity, unveiled Photon, a preemptive breakthrough solution that blocks cyberattacks at the point of execution. Designed for the AI-native world - where digital and physical systems are now inseparable - Photon marks a fundamental shift in how critical infrastructure protects itself. Unlike traditional cybersecurity solutions that detect threats after compromise - typically operating in user space and relying on a cloud network - Exein's Photon operates directly inside the kernel, preventing malicious execution paths before they can run. By blocking attacks before the point of execution, the technology dramatically reduces latency and eliminates entire classes of threats before damage occurs. If malicious instructions cannot execute, the attack itself cannot take place. This advancement establishes a new category of runtime security designed for systems that cannot be disconnected: physical AI and IoT environments, autonomous AI agents, and local hybrid cloud and edge infrastructure. In these environments, from industrial robotics and critical infrastructure to AI-driven platforms, downtime is not an option, and protection must be more precise and granular, blocking malicious threats without shutting down the entire process. The announcement at the RSA Conference (RSAC) comes as cyber threats increasingly target physical systems. Last month, the Munich Security Report 2026 warned that cyber operations are now engineered to cause real-world disruption, accelerating regulatory intervention after voluntary measures failed to address systemic vulnerabilities. At the same time, the speed of attacks is accelerating dramatically: recent threat intelligence shows average attacker 'breakout times' fell to just 29 minutes in 2025, 65% faster than the previous year, driven in part by AI-assisted automation. Protecting the digital and physical in the AI era Artificial intelligence is already capable of identifying vulnerabilities in software and infrastructure. In the near future, these models will not only detect weaknesses but exploit them autonomously to launch attacks at machine speed. As the scale and sophistication of these attacks grow, traditional runtime security systems that rely on detection alone will no longer be sufficient. Photon introduces a new model of preemptive runtime security designed for this AI-driven environment. Rather than detecting attacks after they begin, it prevents malicious execution paths from running in the first place, blocking threats in real time before they can impact the system. Unlike conventional security tools that operate in user space alongside the applications they protect, Photon operates directly within the kernel, the core of the operating system. By enforcing protection at this foundational layer, rather than merely detecting and stopping attacks, it prevents them from executing in the first place - all in real time. This marks a major milestone as physical and digital systems converge, positioning Photon as a new reference architecture for securing physical AI, agent AI and cloud and hybrid infrastructure. Gianni Cuozzo, Founder and CEO of Exein, said: "In a future where the world is infinitely connected with humanoid robots walking among Aithority, local LLMs powering intelligent edges, autonomous drones reshaping mobility, and billions of new autonomous systems bridging the digital and physical realms, preemptive runtime security represents the new generation of protection, built into the very DNA of every device from the ground up. "Exein was born to make this vision a reality: transforming every connected device into a fortress of security, forging the largest decentralised immune system for digital life - cross-vendor, cross-platform, and cross-system. We stand as the first line of defence between the boundless digital world and the physical one we live in, empowering manufacturers to build inherently safe innovations and already safeguarding over 2 billion devices worldwide."