Securiti

Front-End QA Automation Engineer

Pakistan
HTML CSS SQL Java API AWS
Description
Securiti has been widely recognized as an industry innovator, being named “Most Innovative Start-up” at RSA Conference 2020, Leader in the IDC Marketplace, Leader in the Forrester Wave Privacy Management Software, and winner of the 2020 HPE-IAPP Innovation Award.  The company is being built by proven serial entrepreneurs and executives who have successfully built and scaled high-growth global companies before. We are now expanding our development team and have multiple backend development roles open. If you aspire to work on cutting-edge technologies and frameworks, side by side with some of the smartest technologists, this may be a unique place for you. You will be working as a part of a distributed agile team, building a new SaaS platform that underpins a suite of enterprise applications solving a variety of hard data analytics and enterprise problems.  

Job Overview:
You will be working as a part of a distributed agile team, building a new SaaS platform and a suite of enterprise applications that solve a variety of hard data analytics problems. You will be responsible for ensuring that the framework and products we develop meet the established quality goals. You will have the opportunity to work with a wide variety of technologies from front-end UI(web and mobile) to back-end distributed web services, and device software.

Responsibilities:

  • Design, develop and execute automation tests using automation tool such as Mabl
  • Collaborate with QA Engineers to develop effective strategies and test plans
  • Finding and reporting bugs and glitches
  • Work with cross-functional teams to ensure quality throughout the SDLC

Requirement:

  • Computer Science Graduate
  • Minimum 2 Years of QA Automation / Development Experience
  • Sound knowledge of Selenium / Functionize / Mabl, Jenkins, HTML & CSS, SQL and Scripting
  • Analytical mind and problem-solving aptitude

Preferred Skills:

  • Solid coding skills on any OOP Language. Preferred Java
  • Hands on with Automation tools such as Selenium, WebDriver, Jenkins, Appium
  • Skilled in building robust, scalable, and high-quality test automation solutions for functional and regression testing
  • Excellent knowledge of software testing practices and procedures within an Agile SDLC
  • Able to work with Technical Leads, Architects, and Product Managers to understand E2E architecture, tech stacks and end-user experience.
  • Experience in REST API testing / Backend automation
  • Hands on with Linux, AWS and virtualization platforms
  • Experience with Jenkins, Jira, BitBucket would be preferred
  • Must be able to integrate quickly into the team and work independently
  • Good knowledge of server backend  and ability to work with open source traffic generators and tools.

About Us:
Securiti solves challenges across governance, privacy, and security. With a foundation in data understanding and a team that was responsible for developing and deploying the market-leading CASB & DLP technology, we were able to create a platform from the ground up that leverages automation and workflows to solve complex privacy, data, and security business challenges with a simplified interface promoting collaboration across the business. Ease of use, quick to deploy and customizable are all reasons why companies select Securiti versus stitching multiple vendors together to address their challenges.
The exponential growth of data brings massive new opportunities but also brings increasingly perilous security, compliance, and privacy risks. At Securiti, our mission is to enable organizations to safely harness the incredible power of data and the cloud by controlling the complex security, compliance, and privacy risks. Securiti’s solution uniquely combines AI-powered data intelligence with full workflow automation, simplifying compliance with GDPR, CCPA, LGPD, and other regulations. Granular insights into structured and unstructured data enable organizations to monitor risk, control access, and protect sensitive data at scale.

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