Director of Quality Engineering

Flipkart Group

Bengaluru

On-site

INR 4,000,000 - 7,500,000

Full time

4 days ago
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Job summary

Flipkart Group is seeking a Director of Quality Engineering to lead a global QE transformation across roaming network services. The role demands hands-on leadership, deep expertise in test automation, CI/CD, cloud-native architectures, and GenAI-powered testing capabilities to deliver scalable, secure products.

You will build a high-performing automation-first QE organization, drive product excellence, and collaborate with cross-functional teams to accelerate releases while maintaining quality

Qualifications

  • 15+ years in software quality engineering with leadership experience.
  • Deep expertise in test automation, CI/CD, cloud architectures and QE practices.
  • Hands-on leadership with ability to code and guide implementations.

Responsibilities

  • Lead QE transformation across multiple product lines with automation-first mindset.
  • Define quality metrics including architecture and security considerations.
  • Architect scalable test frameworks and AI-driven testing capabilities.
  • Drive Shift-Left practices and establish QE Centers of Excellence.
  • Collaborate with Product, Development, Support and DevOps to ensure quality.

Skills

Automation
CI/CD
Cloud architectures
Leadership
Test strategy

Education

BE/B Tech / M Tech / MSc in CS or related

Tools

Jenkins
GitHub Actions
Docker
Kubernetes

Job description

The Director of Quality Engineering for the Roaming Network Services will lead the global QE transformation and operations across multiple product lines. This hands‑on technical leader will be responsible for redefining quality beyond defect detection to include product design excellence, building a high‑performing automation‑first QE organization, and ensuring delivery of highly reliable, scalable, and secure products across the roaming solutions portfolio. The ideal candidate will bring a powerful combination of technical depth, transformational leadership, strategic thinking, and extensive experience in telecommunications, particularly in roaming, signaling, mobile core technologies, and cloud‑native architectures. This leader must thrive in fast‑paced environments, drive meaningful change, and consistently deliver results while building technical excellence.

The core responsibilities for the job include the following:

Quality Evolution and Product Excellence:

  • Redefine quality metrics beyond defect detection to include product design efficacy, user experience, and overall solution value.
  • Establish product quality frameworks that address not just functional correctness but architectural soundness, scalability, security‑by‑design, and performance at scale. Pioneer a quality‑as‑a‑strategy approach where QE insights actively influence product roadmaps and design decisions.
  • Implement early quality indicators to identify product design deficiencies before development begins.
  • Drive product efficacy assessments to ensure solutions fully address customer needs and deliver maximum business value.

Automation Transformation Lead:

  • Comprehensive automation strategy covering functional, performance, security, and infrastructure testing with CI/CD pipeline integration.
  • Architect next‑generation test frameworks that are scalable, maintainable, and deliver actionable insights.
  • Implement an "automation‑first" culture where manual testing is the exception, not the rule.
  • Establish Automation KPIs that measure both coverage and effectiveness.
  • Drive Shift‑Left Practices, including automated design reviews, code quality gates, and security scanning.
  • Spearhead GenAI Adoption in QE by implementing AI‑driven test case generation, intelligent test selection, and predictive quality analytics.
  • Develop LLM-based test automation capabilities for natural language test creation, automated API testing, and complex scenario generation.
  • Implement AI‑Powered Defect Analysis to automatically categorize, prioritize, and suggest root causes for identified issues.
  • Lead ML‑based performance testing initiatives that can predict scalability issues and optimize resource utilization.
  • Create a GenAI Testing Center of Excellence to research, pilot, and scale emerging AI technologies in quality engineering.

High‑Performance Team Building:

  • Transform team structure and capabilities to align with modern QE practices and cloud‑native technologies.
  • Implement Agile QE methodologies to increase delivery velocity while maintaining quality standards.
  • Cultivate Technical Excellence through hands‑on mentoring, knowledge sharing, and continuous learning.
  • Create Centers of Excellence for specialized areas like performance engineering, security testing, and test automation.
  • Develop QE Career Paths that recognize and reward both technical depth and leadership capabilities.

Core Operational Responsibilities:

  • Collaborate Across Functions with Product Management, Development, Support, and DevOps to ensure high‑quality delivery of releases and patches.
  • Drive Interoperability Testing across multi‑vendor and multi‑network environments, including 2G/3G/4G/5G.
  • Manage Compliance, Performance, and Security Testing for global roaming standards (GSMA, IR. 21/IR. 85, VoLTE, VoWiFi, etc. ).
  • Execute Quality Risk Assessments, identifying bottlenecks early and driving mitigation plans.
  • Optimize QE Processes to support increased release velocity without compromising quality.

Requirements:

  • 15+ years of experience in software quality engineering with 8+ years in transformational leadership roles.
  • Deep technical expertise in test automation, CI/CD, cloud architectures, and modern QE practices.
  • Hands‑on technical leadership with the ability to code, architect solutions, and guide technical implementations.
  • Strong Domain Knowledge in Roaming Protocols (SS7, Diameter, GTP, MAP, SIP), core network elements, signaling flows, and cloud‑native architectures.
  • Proven Experience in leading and transforming large‑scale QE teams across distributed geographies.
  • Track record of successfully implementing automation frameworks, DevOps practices, and quality metrics that deliver measurable results.
  • Experience operating in fast‑paced, startup‑like environments with high delivery velocity.

Technical Skills:

  • Telecom Protocols and Technologies, including SS7, Diameter, GTP, MAP, SIP, and SCTP.
  • Mobile Core Network Architecture across 2G/3G/4G/5G technologies.
  • Roaming and Interconnect Services, including voice, SMS, data, and emerging IoT/M2M scenarios.
  • Signaling Flow Analysis for complex call and session scenarios.
  • Network testing tools such as protocol analyzers, load generators, and signaling simulators.
  • Advanced test automation frameworks, tools, and methodologies.
  • CI/CD Environments and DevOps pipelines (Jenkins, GitHub Actions, etc. ).
  • Containerization and Orchestration (Docker, Kubernetes).
  • Cloud Platforms (AWS/Azure/GCP) and cloud‑native testing approaches.
  • Performance Engineering tools and methodologies.
  • Security testing practices for telecom and cloud environments.
  • Generative AI technologies, including LLMs, ML‑based testing tools, and AI‑driven analytics platforms.

Leadership Capabilities:

  • Transformational Leadership skills with proven ability to drive change.
  • Hands‑on technical guidance with a willingness to dive deep into technical challenges.
  • Strategic Vision combined with tactical execution.
  • Cross‑functional collaboration skills to align quality initiatives across the organization.
  • Talent development capabilities to grow the next generation of QE leaders.

Nice to Have:

  • Familiarity with roaming and fraud management solutions.
  • Experience implementing GenAI solutions for telecommunications testing.
  • Experience with data‑driven and AI/ML‑powered testing methodologies.
  • Understanding of Regulatory Compliance in Telecom (e. g., GDPR, telecom fraud detection standards).
  • Background in SRE (Site Reliability Engineering) practices.
  • Work Experience: 15+ years.
  • Educational Qualification: BE/B. Tech., M. E. /M. Tech., or M. Sc. in Computer Science or any related qualification
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