Senior Manager, QA, Digital
LSEG is hiring a Senior Manager, QA, Digital in Hyderabad, India. Level rates it ; you can apply on LSEG.
Level's read on this job
- On Level's scale, this role is Works on AI ●●●○: the daily work is on AI products, without building the model.
- Tools and skills the posting cites include Jira, Confluence and GitHub.
- Level classifies it as a senior role.
- Level lists 666 other open roles at LSEG.
AI in this role
Leads enterprise quality engineering by implementing AI-driven testing, automation frameworks, and cloud-native quality strategies.
Senior Quality Assurance Manager
Role Overview
Provide enterprise-wide leadership for Quality Engineering across product teams, championing AI-driven testing, automation, cloud-native quality strategies, performance engineering, reliability engineering, and continuous testing practices. Collaborates and influences Product, Engineering, DevOps, Platform Engineering, and SRE teams to improve product quality, increase delivery speed, whilst maintaining operational resilience, regulatory requirements, and exceptional customer experiences.
Key Responsibilities
Quality Engineering Leadership
- Define and execute enterprise Quality Engineering strategy, standards, governance, and best practices.
- Champion Shift-Left, Shift-Right, Continuous Testing, and Quality-by-Design.
- Lead and mentor Quality Engineering teams while driving measurable quality and productivity improvement
- Lead from the front by remaining deeply hands-on in evaluating and implementing emerging technologies, doing Proofs of Concept (PoCs) for AI, automation, and engineering platforms, establishing technical direction, and enabling teams to scale successful solutions into enterprise adoption.
AI-Driven Quality Engineering
- Implement AI/GenAI solutions for test case generation, automation development, test data generation, defect triage, RCA, risk-based testing, and regression optimization.
- Build AI-powered QA copilots, self-healing frameworks, autonomous testing solutions, and predictive quality analytics.
- Integrate AI agents with Jira, Confluence, GitHub, ServiceNow, BrowserStack, and observability platforms.
Automation & Quality Platform Engineering
- Develop enterprise-wide automation frameworks for UI, API, Integration, Contract, Performance, Security, Accessibility, and E2E testing.
- Establish scalable testing platforms, reusable accelerators, quality gates, and CI/CD-integrated continuous testing solutions.
- Drive automation-first strategies and increase automation maturity across teams.
Cloud, Data & Reliability Engineering
- Define testing strategies for cloud-native, microservices, event-driven, distributed, and AWS-based systems.
- Lead testing of Kafka, Elasticsearch, REST APIs, messaging systems, and data platforms.
- Collaborate with SRE teams on observability, resilience, failover, chaos testing, incident analysis, and reliability improvements.
Performance Engineering
- Establish performance engineering frameworks and automated performance testing within CI/CD pipelines.
- Validate scalability, reliability, capacity planning, and identify performance bottlenecks.
Required Experience
- 15+ years in Software Testing, Quality Engineering, Automation, or related domains.
- Proven experience managing QA/QE teams and leading enterprise quality transformations.
- Strong knowledge of Agile, DevOps, CI/CD, Continuous Delivery, and Quality Engineering practices.
Technical Skills
Programming
- Java, Python, JavaScript, TypeScript
Test Automation
- Playwright (Preferred), Selenium, BrowserStack
- BDD: Cucumber, Gherkin
API & Performance Testing
- Postman, Rest Assured, SoapUI, Swagger/OpenAPI
- JMeter, K6
Cloud & DevOps
- AWS (EC2, Lambda, API Gateway, CloudWatch, S3, Glue)
- Jenkins, Git Pipelines
- Docker, Kubernetes
Data & Observability
- Kafka, , Elasticsearch, SQL, NoSQL
- Datadog, Grafana, Prometheus, ELK
AI Quality Engineering
- AI-generated testing
- Autonomous and self-healing automation
- Defect prediction and RCA
- Visual AI testing
- Predictive quality analytics
- Synthetic test data generation
Preferred Experience
- Adobe Experience Manager (AEM)
- AI Engineering Platforms
- Quality Observability Platforms
- Cloud Migration & Digital Transformation Programs
Success Metrics
- Reduce production defect leakage by more than 50%.
- Achieve 95%+ automation coverage for all business journeys.
- Reduce test creation and automation effort by 50-60% using AI.
- Reduce regression execution time by 50% from the current stake.
- Improve release confidence, deployment success rate, reliability, and engineering productivity.
This role is essentially a hands-on Quality Engineering Transformation Leader responsible for driving the convergence of AI, Automation, Cloud Engineering, DevOps, SRE, Observability, Performance Engineering, and Continuous Testing to improve product quality, reliability, customer experience, and delivery velocity across LSEG.
We're proud to have been recognised as a Great Place to Work® in India ‘25
Career Stage:
ManagerLondon Stock Exchange Group (LSEG) Information:
Join us and be part of a team that values innovation, quality, and continuous improvement. If you're ready to take your career to the next level and make a significant impact, we'd love to hear from you.
LSEG is a leading global financial markets infrastructure and data provider. Our purpose is driving financial stability, empowering economies and enabling customers to create sustainable growth.
Our purpose is the foundation on which our culture is built. Our values of Integrity, Partnership, Excellence and Change underpin our purpose and set the standard for everything we do, every day. They go to the heart of who we are and guide our decision making and everyday actions.
Working with us means that you will be part of a dynamic organisation of 25,000 people across 65 countries. However, we will value your individuality and enable you to bring your true self to work so you can help enrich our diverse workforce.
We are proud to be an equal opportunities employer. This means that we do not discriminate on the basis of anyone’s race, religion, colour, national origin, gender, sexual orientation, gender identity, gender expression, age, marital status, veteran status, pregnancy or disability, or any other basis protected under applicable law. Conforming with applicable law, we can reasonably accommodate applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs.
You will be part of a collaborative and creative culture where we encourage new ideas. We are committed to sustainability across our global business and we are proud to partner with our customers to help them meet their sustainability objectives. Our charity, the LSEG Foundation provides charitable grants to community groups that help people access economic opportunities and build a secure future with financial independence. Colleagues can get involved through fundraising and volunteering.
LSEG offers a range of tailored benefits and support, including healthcare, retirement planning, paid volunteering days and wellbeing initiatives.
Please take a moment to read this privacy notice carefully, as it describes what personal information London Stock Exchange Group (LSEG) (we) may hold about you, what it’s used for, and how it’s obtained, your rights and how to contact us as a data subject.
If you are submitting as a Recruitment Agency Partner, it is essential and your responsibility to ensure that candidates applying to LSEG are aware of this privacy notice.
How we rate this
Senior Manager, QA, Digital at LSEG rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.
Works on AI. The daily work is on AI products, without building the model.
- ●●●● 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.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- How do you decide when an AI agent can act on its own versus asking for approval first?
- Tell me about a project where quality engineering was part of your work. What did you do?
- Tell me about a project where test automation was part of your work. What did you do?
- Tell me about a project where genai was part of your work. What did you do?
- Tell me about a project where performance engineering was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: AI agents, Quality Engineering, Test Automation, GenAI, and Performance Engineering. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.
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