Senior Manager, QA, Digital

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.

What you'll do

• 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.
• 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.
• 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.
• 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.
• Establish performance engineering frameworks and automated performance testing within CI/CD pipelines.
• Validate scalability, reliability, capacity planning, and identify performance bottlenecks.

What you'll need

• 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.
• Programming: Java, Python, JavaScript, TypeScript.
• Test automation: Playwright (Preferred), Selenium, BrowserStack, BDD: Cucumber, Gherkin.
• API and performance testing: Postman, Rest Assured, SoapUI, Swagger/OpenAPI, JMeter, K6.
• Cloud and DevOps: AWS (EC2, Lambda, API Gateway, CloudWatch, S3, Glue), Jenkins, Git, Pipelines, Docker, Kubernetes.
• Data and 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.

Nice to have

• Playwright (preferred).
• Adobe Experience Manager (AEM).
• AI engineering platforms.
• Quality observability platforms.
• Cloud migration and digital transformation programs.

Details

• Location: Hyderabad, India (CapitaLand).
• Career stage: Manager.