{"id":4007052,"url":"https://alion.io/job/sonicwall-senior-manager-test-engineering","title":"Senior Manager, Test Engineering","company":{"id":685324,"name":"SonicWall","domain":"sonicwall.com","url":"https://alion.io/company/sonicwall","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"A","score":89,"open_postings":7,"ghost_share":0,"stale_share":0.429,"repost_share":0,"time_to_fill_p50_days":44,"computed_at":"2026-11-10T06:52:35Z"}},"role":"Industrial Engineering","role_family":"Industrial Engineering","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bengaluru, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":10,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"CI/CD","optional":false},{"name":"DNS","optional":false},{"name":"Shift-Left Security","optional":false},{"name":"TCP/IP","optional":false},{"name":"AWS","optional":true},{"name":"Azure","optional":true},{"name":"GCP","optional":true},{"name":"ISO 27001","optional":true},{"name":"Kubernetes","optional":true},{"name":"PCI DSS","optional":true},{"name":"SOC 2","optional":true}],"status":"live","first_seen_at":"2026-11-10T07:35:30Z","employer_posted_date":null,"last_verified_at":"2026-11-10T07:35:30Z","board_verified":false,"closed_at":null,"days_open":0,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":0},"description":"We are looking for an experienced and technically strong Senior QA Manager to own end-to-end quality for cloud applications, cloud security products, and associated services.\n\nThis is a high-impact leadership role responsible for defining the quality strategy, driving automation and test infrastructure investments, and partnering closely with Product Management, Engineering, DevOps, Cloud Infrastructure, Security, Release Engineering, and Support teams to ensure high standards of reliability, scalability, security, and customer trust.\n\nThe role requires a strong understanding of cloud applications and distributed systems, along with good networking and security fundamentals. You will help shape how quality is built into the product lifecycle, from requirements and architecture reviews through continuous testing, release readiness, production validation, and post-release improvements.\n\nKey Responsibilities Quality Strategy & Release Ownership:\nDefine and continuously improve QA and Quality Engineering strategy for cloud applications and cloud security products.\nEstablish quality gates, entry/exit criteria, and release readiness standards.\nDrive risk-based testing and shift-left quality practices.\nDefine test strategies for new features, platform changes, integrations, maintenance releases, and hotfixes.\nOwn QA release readiness and provide quality recommendations for go/no-go decisions.\nPartner with Engineering and Product leadership to identify and mitigate quality risks.\n\nCloud, Security & Networking Technical Leadership:\nProvide technical leadership across cloud applications, distributed services, and cloud security solutions.\nDefine comprehensive testing strategies covering:\nFunctional and end-to-end customer workflows\nREST APIs and microservices\nService-to-service communication\nAuthentication and authorization\nCloud networking and connectivity\nDNS, HTTP/HTTPS, TLS/SSL, proxies, and load balancing\nSecurity policies and controls\nMulti-tenant environments\nHigh availability, resiliency, and disaster recovery\nUpgrades, migrations, and backward compatibility\nReview PRDs, technical specifications, and architecture proposals from quality, security, scalability, reliability, and networking perspectives.\nDrive security and negative testing to validate abuse cases, misconfigurations, authorization boundaries, and threat scenarios.\n\nAutomation, CI/CD & Test Infrastructure:\nDefine the automation vision across UI, API, integration, security, and end-to-end testing.\nEstablish measurable automation coverage and effectiveness goals.\nBuild scalable and maintainable automation frameworks in partnership with engineering and automation teams.\nIntegrate automated testing into CI/CD pipelines.\nDrive improvements in automation stability and reduce flaky tests.\nPromote continuous testing and automated quality gates.\nDefine the strategy for cloud-based test environments and test infrastructure.\nPartner with DevOps and Cloud Infrastructure teams on environment availability, scalability, and reliability.\nExplore AI and intelligent automation to improve test effectiveness and engineering productivity.\n\nPerformance, Scalability & Reliability:\nDefine strategies for performance, scalability, resiliency, and long-duration testing.\nDrive testing for high transaction volumes, concurrent users, API scalability, service interactions, resource utilization, failover, recovery, and scaling.\nEstablish performance and reliability benchmarks for major releases.\nPartner with Engineering and Cloud Infrastructure teams to identify performance and scalability risks.\n\nExecution Excellence & Metrics:\nOwn and track key quality metrics including:\nDefect leakage and escape rate\nRegression effectiveness\nAutomation coverage and ROI\nAutomation flakiness\nRelease quality and predictability\nProduction incident trends\nCustomer-impacting defects\nLead release readiness and quality reviews with senior stakeholders.\nDrive root cause analysis for production escapes and systemic quality gaps.\nConvert production and customer learnings into preventive quality improvements.\n\nPeople Leadership & Stakeholder Influence:\nBuild, mentor, and retain a strong QA organization comprising leads and senior engineers.\nLead and scale geographically distributed QA/Quality Engineering teams.\nSet clear expectations, career paths, technical growth plans, and performance goals.\nDevelop technical and leadership capabilities within the QA organization.\nInfluence Engineering, Product Management, DevOps, Cloud Infrastructure, and Security leadership to prioritize quality and customer impact.\nRepresent QA in leadership forums, customer escalations, incident reviews, and cross-functional initiatives.\nFoster a culture of ownership, engineering excellence, automation, and continuous improvement.\n\nRequired Skills & Experience:\n10-12+ years of experience in software QA/Quality Engineering, with 4+ years in QA leadership or people management.\nStrong experience testing cloud applications, SaaS products, distributed systems, or cloud security products.\nGood understanding of cloud, networking, and security fundamentals.\nWorking knowledge of TCP/IP, DNS, HTTP/HTTPS, TLS/SSL, routing, load balancing, proxies, VPNs, and network security concepts.\nUnderstanding of cloud networking concepts such as VPC/VNet, subnets, security groups, firewalls, and private/public connectivity.\nStrong understanding of APIs, microservices, distributed systems, authentication, and authorization.\nExperience owning quality for complex software releases.\nProven experience managing and developing QA teams.\nStrong automation and CI/CD experience.\nExperience with performance, scalability, resiliency, and reliability testing.\nGood understanding of security testing and secure software development practices.\nExcellent communication, collaboration, and stakeholder-management skills.\n\nGood to Have:\nExperience with AWS, Azure, or GCP.\nExperience with SaaS and multi-tenant applications.\nExperience testing cloud security or cybersecurity products.\nExperience with Kubernetes, containers, and cloud-native architectures.\nExposure to security testing and vulnerability assessment.\nExposure to SOC 2, ISO 27001, PCI DSS, FIPS, or similar compliance programs.\nExperience with observability, monitoring, logging, and production diagnostics.\nExperience handling customer escalations and production incident RCA.\nExperience using AI/ML for test automation, test generation, defect analysis, or quality engineering.\n\nWhat Success Looks Like:\nPredictable, high-quality cloud application and cloud security releases.\nReduced critical customer issues and production escapes.\nMeasurable improvement in automation coverage and test effectiveness.\nFaster feedback cycles through shift-left testing and CI/CD integration.\nImproved application scalability, resilience, and production reliability.\nStrong security and quality practices embedded throughout the SDLC.\nStrong QA leadership and technical talent development.\nImproved engineering productivity through automation and modern Quality Engineering practices.\nIncreased customer trust through reliable, secure, and high-quality cloud products.\nSkills\nCloud, Networking, 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