
System QA & Automation Lead
Nokia Corporation โข Bangalore, Karnataka, India
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Role & seniority
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System QA & Automation Lead (individual contributor with technical leadership)
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Experienced: 12+ years in software testing/quality engineering/test automation
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Stack/tools
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Languages: Python, Go, and/or C++
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Platforms: Linux
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Cloud-native / microservices: Docker, Kubernetes, Helm
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Networking / service mesh: Envoy
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Pipelines/DevOps: CI/CD pipelines, DevOps toolchains
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Testing/quality: test architecture, debugging/RCA
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Observability/telemetry: monitoring, telemetry-driven validation (tools not specified)
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AI-driven automation: agentic AI / AI-assisted engineering tools
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Top 3 responsibilities
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Define and drive end-to-end testing strategies (functional + non-functional) for the Core Management System
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Architect scalable test platforms/frameworks for cloud-native microservices, ensuring maintainability and reliability
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Lead system validation and integration testing, translating complex requirements into executable test plans and addressing quality/performance risks
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Must-have skills
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Deep expertise in test architecture and QA for scalable distributed systems
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Proficiency building automation in Python/Go/C++ with strong Linux experience
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Strong understanding of databases testing, observability/monitoring, telemetry, and performance bottleneck analysis
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Cro
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Full Description
We are looking for an experienced System QA & Automation Lead with strong expertise in software validation and test automation, particularly within cloud-native architectures and telecommunications networks. As an individual contributor, this technical leadership role is responsible for defining and driving end-to-end testing strategies for the Core Management System, covering both functional and non-functional domains. The ideal candidate will bring proven technical leadership, exceptional analytical skills, and a strong track record of developing scalable, high-quality test and automation frameworks for modern microservices-based platforms. Experience in continuously advancing testing capabilities through agentic AI-driven automation frameworks is highly desirable.
RESPONSIBILITIES
- Design and drive product-level testing strategies that align with both technical requirements and business objectives.
- Architect scalable test platforms and automation frameworks for cloud-native, microservices-based systems, with a focus on efficiency, reliability, and maintainability.
- Translate complex customer, product, and system requirements into comprehensive test strategies, detailed test designs, and executable test plans.
- Lead software subsystem integration and end-to-end system validation activities to ensure seamless functionality, performance, and quality across the solution.
- Identify, analyze, and address testing gaps, quality risks, support issues, and performance bottlenecks throughout the development and validation lifecycle.
- Collaborate closely with customers, product management, architecture, and engineering teams to ensure testing priorities are aligned with overall product strategy and delivery goals.
- Act as a subject matter expert in quality engineering, mentoring teams on modern testing methodologies, driving resolution of critical customer escalations, and championing continuous improvement through advanced automation and AI/agentic testing frameworks within agile environments.
QUALIFICATIONS
You Have
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Engineering Degree with 12+ years of experience in software testing, quality engineering, and test automation.
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Strong expertise in test architecture and quality assurance for cloud-native, microservices-based, highly scalable distributed systems.
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Proficiency in Python, Go, and/or C++ for automation development, with hands-on experience in Linux environments and modern cloud-native technologies including Docker, Kubernetes, Helm, Envoy, CI/CD pipelines, and DevOps toolchains.
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Demonstrated experience in designing, implementing, and executing test strategies for highly scalable, resilient, and reliable systems, supported by strong debugging, troubleshooting, and root-cause analysis skills. Solid understanding of database testing, observability frameworks, monitoring systems, and telemetry-driven validation practices.
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Proven ability to lead and influence cross-functional teams, deliver high-quality outcomes in fast-paced agile environments, and communicate effectively with technical and business stakeholders.
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Hands-on experience leveraging Agentic AI and AI-assisted engineering tools to enhance testing effectiveness, automation coverage, development productivity, and overall engineering efficiency.
Nice to Have
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Experience in NMS/EMS testing, including interoperability and observability testing, with validation of databases, gRPC-based services, APIs, and open-source integrations.
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Experience in the Core Network Signaling domain (4G/5G mobile core networks)