Director of Quality Engineering

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