Top Quality Engineer Jobs in Bangalore

Provides software quality engineering support for aerospace software development. Responsibilities include maintaining quality plans, conducting audits and process evaluations, managing quality metrics, reviewing lifecycle artifacts, ensuring compliance with DO-178C and AS9100D/AS9115, facilitating corrective actions, assessing risks, and verifying software processes, documentation, testing, configuration management, and certification readiness.

The Senior Wireless/Automation QA Engineer will develop and execute software test strategies, analyze test standards, validate wireless technologies, and mentor junior engineers.

Designs, configures, integrates, and supports Digital Quality platforms including DMS, QMS, and LMS systems. Translates requirements into compliant configurations, workflows, integrations, and data solutions; performs validation, release management, troubleshooting, root cause analysis, reconciliation, and performance optimization. Collaborates with stakeholders, vendors, and technical teams across global systems while supporting GxP, data integrity, and CSV requirements.

Develop and maintain software testing strategies, plans, executions, and automation frameworks for HPE Hybrid Cloud products. Build Python-based automation tools, perform functional, regression, scale, and data-path testing, troubleshoot complex issues, and collaborate with distributed Agile teams. The role requires knowledge of system engineering, AI workflows, storage technologies, networking, containerization, CI/CD, Linux, and virtualization environments.

Leads quality engineering for enterprise storage platforms, covering hardware-software integration across firmware, drivers, and system software. Builds Python-based automation frameworks, performs system-level testing, debugging, root cause analysis, and customer issue resolution. Applies AI/ML and Generative AI for failure analysis, anomaly detection, test optimization, and workflow automation. Develops observability tools, improves reliability and scalability, collaborates across engineering teams, and mentors engineers.

Drives end-to-end quality engineering for enterprise storage platforms, including hardware-software integration, automation, system validation, debugging, and root-cause analysis. Develops scalable Python-based test frameworks and productivity tools while applying AI/ML to failure analysis, test optimization, anomaly detection, and workflow automation. Requires collaboration across engineering teams, customer issue resolution, troubleshooting of Linux and distributed systems, and mentoring.

Develop and promote product quality across multiple engineering teams through exploratory, risk-based, automated, API, and integration testing. Build reliable test coverage, investigate complex application and CI failures, improve testability and feedback loops, identify systemic quality issues, and influence product and technical decisions. The role also supports quality strategy, reusable test infrastructure, developer tooling, and engineering productivity.

Tests and automates Web GUI and REST API functionality for the Mist Cloud platform using Python, Selenium, and pytest. Responsibilities include developing automated test suites, performing smoke, production validation, and regression testing, analyzing architecture, managing defects, maintaining test plans and environments, documenting QA processes, and investigating customer-reported issues. The role collaborates with developers, Customer Success, and international stakeholders while supporting continuous quality improvements.

The Quality Assurance Engineer ensures quality goals across automotive customer application and core technology projects. Responsibilities include quality planning, project audits, status tracking, corrective-action definition, customer and supplier interfacing, team coaching, QA reporting, escalation management, and preparation for ASPICE assessments and customer audits. The role requires automotive quality-process expertise, strong problem-solving and communication skills, and proficiency with requirements-management tools.

Own end-to-end QA for Opportunity-to-Cash and enterprise billing systems. Test Salesforce CPQ, middleware, BillingPlatform, NetSuite, Avalara, and Braintree integrations, including usage-based pricing, invoices, taxation, payments, refunds, credits, and ledger allocation. Maintain Xray test coverage, validate APIs and data flows, investigate sync failures, perform defect root-cause analysis, and provide deployment sign-off while collaborating with Engineering, Product, and Finance.

Designs, executes, and automates software update validation for HPE Alletra storage platforms. Tests upgrades across storage software, Kubernetes, firmware, operating systems, switches, and infrastructure services, including resiliency, failover, recovery, interoperability, scalability, rollback, and disaster recovery scenarios. Troubleshoots issues across storage, Linux, Kubernetes, networking, and distributed systems, develops Python-based automation, performs root-cause analysis, and provides release-readiness recommendations.

Owns software QA strategy, test planning, execution, and automation for HPE’s hybrid cloud platform. The role develops and enhances Python-based automation frameworks, performs functional, regression, scale, filesystem, protocol, and data-path testing, and troubleshoots complex system issues. It requires collaboration across distributed Agile teams and knowledge of storage, networking, containers, CI/CD, Linux, and AI workflows.

Develops and executes software testing strategies across functional, regression, scale, and automated testing. Owns automation frameworks and tools, troubleshoots complex issues, and collaborates with distributed Agile teams. Tests storage systems, file systems, protocols, data paths, networking, containers, and Linux or virtual-machine environments. Uses Python, CI/CD pipelines, Git, Jenkins, Jira, and Confluence while contributing to AI-enabled software development workflows.

Own software QA strategy, test planning, execution, troubleshooting, and automation for HPE’s hybrid cloud platform. Develop and enhance Python-based automation frameworks, conduct functional, regression, scale, filesystem, protocol, and data-path testing, and collaborate across distributed Agile teams. The role requires storage, networking, containerization, CI/CD, Linux, and system engineering expertise, with AI-based development and testing experience preferred.

Develop and execute software testing strategies for HPE’s hybrid cloud platform. Own test automation frameworks, perform functional, regression, scale, system, file system, protocol, and data path testing, and troubleshoot complex issues. Collaborate across distributed Agile teams using Python, Jira, Confluence, CI/CD tools, containers, Kubernetes, Linux, and virtual environments. Apply storage, networking, and AI workflow knowledge throughout the software development lifecycle.

Designs and executes quality assurance and automated testing processes for software, firmware, and hardware-based applications. Develops test scripts, plans, protocols, and documentation; analyzes results; debugs issues; recommends improvements; and collaborates with software engineers and development partners to resolve defects and deliver reliable testing solutions.

Develop and execute software testing strategies across functional, regression, scale, and automated testing. Own automation frameworks and tools, troubleshoot complex systems, and test storage domains, file systems, protocols, and data paths. Collaborate with distributed Agile teams using Python, Docker, Kubernetes, CI/CD, GitLab, Jenkins, and Linux environments. Apply system engineering expertise and AI workflows to improve software quality.

Tests IP networking software through automated and manual test plans, builds data center network configurations, reviews requirements, troubleshoots issues using packet captures and logs, and collaborates with developers to improve product quality. The role requires advanced Layer 2 and Layer 3 networking expertise, familiarity with networking operating systems and data center protocols, Python proficiency, Linux knowledge, and at least five years of relevant experience.

Leads hands-on full-stack engineering and quality efforts using Java, Spring Boot, React, REST APIs, microservices, Oracle SQL, CI/CD, and containerized deployments. Develops and tests production features, establishes automation and security practices, performs code reviews, manages technical delivery, and mentors engineers while contributing directly to architecture, coding, deployment, and troubleshooting.

Build and maintain automated testing frameworks, CI/CD integrations, and tools for API, performance, load, fuzz, and functional testing. Develop evaluation frameworks and pipelines for GenAI and AI/ML applications, including LLM accuracy, latency, bias, toxicity, hallucination detection, and reliability testing. Review test strategies, collaborate with development teams, and work across distributed systems, microservices, cloud platforms, and cybersecurity technologies.

The Quality Engineer develops automation strategies and scripts, performs continuous security, API, regression, performance, and load testing, and supports test data and environment configuration. The role includes code reviews, defect monitoring and reporting, documentation, CI/CD practices, and continuous improvement of end-to-end testing. The candidate will act as a subject matter expert, collaborate across multiple teams, guide team decisions, and facilitate knowledge sharing.

Quality Engineer responsible for API, security, web, and regression testing across the application lifecycle. Develops automation strategies and scripts, maintains test frameworks, configures test data and environments, analyzes results, reports defects, participates in code reviews, and collaborates with cross-functional teams to improve testing quality and delivery.

Designs and maintains mission-critical backend services using Java and Python. Architects scalable, resilient distributed systems, APIs, microservices, and event-driven solutions for enterprise workloads. Develops ServiceNow integrations and conversational AI workflows, leads technical design and architecture reviews, mentors engineers, conducts code reviews, and collaborates with product, AI, and platform teams to deliver reliable enterprise software.

Build and maintain automated tests for firewall and cybersecurity features across NGFW, SASE, ZTNA, SWG, VPN, and SD-WAN. Develop test labs, generate network traffic, execute CI test suites, analyze logs and packet captures, triage failures, report defects, and support performance, scale, failover, and API testing. Collaborate with developers and QA engineers to improve testability and automation coverage.

Develop and maintain automated tests for complex broadcast technology software. Responsibilities include writing test cases, analyzing failures, reviewing test code, reporting bugs, documenting automation, collaborating with developers and international QA teams, and improving test coverage and efficiency. The role requires Python, Bash, Linux administration, Windows and Ubuntu experience, AWS familiarity, and knowledge of Agile/Scrum and software testing processes.