Quality Engineer (video Analytics), Data Science & Artificial Intelligence

Singapore, Singapore

Job Description


The Government Technology Agency (GovTech) aims to transform the delivery of Government digital services by taking an "outside-in" view, putting citizens and businesses at the heart of everything we do. We also develop the Smart Nation infrastructure and applications and facilitate collaboration with citizens and businesses to co-develop technologies.

Join us as we support Singapore\xe2\x80\x99s vision of building a Smart Nation - a nation of possibilities empowered through info-communications technology and related engineering.

How we work:

Design for citizens \xe2\x80\x94 Listening to our users is the best starting point for building great solutions. To understand pain points faced by Singaporeans, we test and iterate relentlessly.

Go far, go together \xe2\x80\x94 Building a great product is a good start, but we usually set our sights higher. In order to make a lasting impact on how the government builds products, we partner closely with various agencies to improve capabilities across the government.

Engineer with care \xe2\x80\x94 We value products that last, so investing in maintainable systems and clean code is important to us. From inception to delivery, we accelerate the process with open source libraries, modern technologies, CI/CD and DevOps practices.

Inclusive products, inclusive teams \xe2\x80\x94 We build for everyone, and prioritise accessibility. Inclusive products start with inclusive teams. As such, we take pride in creating a supportive environment where every individual can flourish.

About the Video Analytics Team

As the Capability Center for data science and artificial intelligence, Data Science & Artificial Intelligence Division focus is in enabling data science and artificial intelligence solutions, products and capability building across the government.

We are looking for individuals passionate in delivering great digital experiences to join our team!

As part of DSAID, the Video Analytics team strive to drive scalable, impactful AI-enabled video analytics deployments for our citizens and businesses.

Learn more about DSAID from our medium blog:

As a QA Engineer, you will be responsible for the quality assurance aspects of one or multiple technical areas within the Video Analytics team.

The ideal candidate requires great communication skills, attention to detail, quality focused, adaptable to change, agile, understand and practice engineering best practices.

What you will be working on:

  • Work closely with product management and QA engineers to drive the design, development and execution of overall test plan across the team\xe2\x80\x99s suite of video analytics products.
  • Participate in all phases of our agile development process and the entire SDLC of projects ensuring the integrity and quality of product releases.
  • Work with Product Managers to ensure the test requirements are clearly defined based on product needs, testable, and compatible with existing sets of behaviors
  • Design, execute, and automate functional, performance and security test cases for our web applications and backend APIs based on system needs.
  • Develop and maintain records on all test suites, results and test data
  • Collaborate with the Development team to identify and resolve issues in testing, tracking bug reports and support issue resolution.
  • Build phased test plans and automation suites across different products to ensure essential requirements coverage and support optimal scheduling for releases
  • Evaluate and enhance the performance and success of our testing process and implement enhancements for continuous improvements
  • Provide guidance and mentorship to fellow QA team members
What we are looking for:
  • B.S. or M.S. in Computer Science or a related field
  • Strong communication skills and able to explain technical and non-technical concepts to less experienced members of the team, as well as the peers and managers
  • 3 to 5 years of working experience in web application testing and automation
  • Excellent fundamental knowledge of Software Engineering concepts and SDLC life cycle
  • Ability to plan and maintain test strategy and implement test suites based on requirements of applications with a good knowledge of Web and API testing
  • Working knowledge and hands on experience with test automation tools and frameworks such as Selenium, Pytest or JMeter.
  • Good knowledge of Python, Java, Javascript or other programming languages in Windows or Linux environments
  • Good understanding of cloud computing platform services and DevOps processes, knowledge of Infrastructure-as-Code is a plus
  • Knowledge of AI or video analytics concepts is a plus
  • Have strong troubleshooting and debugging skills
  • Strong analytical and problem-solving skills
  • Familiar with the Agile software development framework and comfortable working in a fast-paced environment
We are an equal opportunity employer and value diversity at our company as we believe that diversity is meaningful to innovation. Our employee benefits are based on a total rewards approach, offering a holistic and market-competitive suite of perks. This includes generous leave benefits to meet your work-life needs. We trust that you will get the job done wherever you are, and whatever works best for you \xe2\x80\x93 so work from home or take a break to exercise if you need to*. We also believe it\xe2\x80\x99s important for you to keep honing your craft in the constantly-evolving tech landscape, so we provide and support a plethora of in-house and external learning and development opportunities all year round

*Subject to the nature of your job role that might require you to be onsite during fixed hours

Government Technology Agency

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Job Detail

  • Job Id
    JD1322249
  • Industry
    Not mentioned
  • Total Positions
    1
  • Job Type:
    Full Time
  • Salary:
    Not mentioned
  • Employment Status
    Permanent
  • Job Location
    Singapore, Singapore
  • Education
    Not mentioned