Lead Quality Analyst
Thoughtworks is hiring a Lead Quality Analyst in Singapore, Singapore. Level rates it ; you can apply on Thoughtworks.
Level's read on this job
- Little AI ●○○○ is how Level rates this role: aI is not part of the work.
- The posting mentions AI safety among its tools and skills.
- Level classes it as a lead role.
- Thoughtworks has 44 other open roles on Level.
AI in this role
*Due to the nature of the projects and specific client security clearance requirements, this role requires the successful candidate to be a Singapore Citizen or Singapore PR.
Woven between all the stages of the delivery process is the work of a Quality Analyst: the technologist who focuses on the complexity and risk inherent in building solutions. By collaborating with each team member—Developer, Business Analyst, Designer, etc.—they ensure quality is thoughtfully examined in both processes and technology. QAs are more than testers; they're team motivators and strive to inspire all teammates to weave quality into their mindsets and code.
Job responsibilities
- Aim to shift quality to the left in alignment with senior client stakeholders.
- Partner with senior stakeholders to understand the product, create a quality strategy and ensure that the teams are empowered to implement it.
- Highlight risks to software delivery and assist in managing them alongside the leadership team.
- Regularly carry out exploratory testing to gain insights and uncover potential risks.
- Drive improvements for clean code, tests, testability and advice on test tools/frameworks.
- Define, discuss and implement a program approach to testing across multiple products/services and domains, commonly referred to as “UAT”, “E2E”, etc.
- Influence a consistent approach in automation of tests across teams in a program, e.g. nomenclature, domain boundaries, contracts between services, distinct layers, common tooling and dashboard representations in the right situation.
- You will be nimble and alter your team's approach based on an industry's standards and regulations.
- Coach team members across roles to help deliver better quality software and help them adopt a testing mindset.
- Advocate QA expertise to the tech community inside Thoughtworks and throughout the broader industry, speaking at conferences and acting as a mentor for junior-level QAs.
Job qualifications
Technical Skills
- You have worked as a Quality Analyst as part of a wider development team, pairing with Devs, Business Analysts, Infrastructure Engineers, and Designers to embed quality and testing mindsets within different roles.
- You are comfortable with agile, code management, deployment strategies, migration strategies and release management.
- You have extensive experience with practices such as TDD, BDD, CI/CD and models such as Test Pyramid and Swiss cheese.
- Can drive changes to both on premise and cloud architectures for enhancing quality.
- Strategize different types of functional and cross-functional testing including performance and security testing across various architectures and domain models.
- You can leverage metrics in order to make improvement to lead time, deployment frequency, mean time to recovery and change fail rate.
- You can design quality strategies and can produce one for large programs.
Professional Skills
- You enjoy influencing teammates and senior leaders and advocating for quality as a shared team responsibility.
- Knowledge of user experience and user research including prototyping, personas and AB testing, which can be translated into a test strategy.
- You are passionate about ensuring the correct product is being built, not just that it is being built correctly.
- You are a natural leader who can foster effective and inclusive teams that deliver.
- You thrive in safe, collaborative environments where different opinions, ideas and perspectives are freely shared.
Other things to know
Learning & Development
There is no one-size-fits-all career path at Thoughtworks: however you want to develop your career is entirely up to you. But we also balance autonomy with the strength of our cultivation culture. This means your career is supported by interactive tools, numerous development programs and teammates who want to help you grow. We see value in helping each other be our best and that extends to empowering our employees in their career journeys.
Responsible Use of AI in Recruitment
At Thoughtworks, we use AI tools to support our recruitment team with administrative tasks such as drafting communications, scheduling interviews and writing job descriptions.
Crucially, our AI tools do not screen, assess, rank or make hiring decisions. Every application is reviewed by our team and all selection decisions are made exclusively by our interviewers and hiring managers.
We are committed to fairness and responsible AI. We actively manage our AI systems by testing, monitoring for biased outcomes and implementing mitigation measures. We hold our third-party vendors to these same high standards through a rigorous governance process. For additional information, please see our full Thoughtworks AI Policy for Recruitment.
About Thoughtworks
Thoughtworks is a dynamic and inclusive community of bright and supportive colleagues who are revolutionizing tech. As a leading technology consultancy, we’re pushing boundaries through our purposeful and impactful work. For 30+ years, we’ve delivered extraordinary impact together with our clients by helping them solve complex business problems with technology as the differentiator. Bring your brilliant expertise and commitment for continuous learning to Thoughtworks. Together, let’s be extraordinary.
#LI-Hybrid
How we rate this
Lead Quality Analyst at Thoughtworks rates 30 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
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