System QA & Automation Engineer

JobCubby; Bengaluru; On-site; INR 1,200,000 - 2,300,000; Full time

Job summary

JobCubby is seeking a System QA & Automation Engineer with 5+ years of experience to design, develop, and execute test strategies for cloud-native observability solutions. You will build end-to-end automation pipelines and collaborate with development, product, and operations teams to ensure reliability, performance, and scalability in agile environments.

Role focuses on end-to-end system validation of distributed services, microservices, APIs, and Kubernetes deployments, leveraging modern

Qualifications

• Engineering degree with 5+ years in system testing and QA automation.
• Experience with cloud-native, distributed or enterprise software.
• Design and implement test automation frameworks and API testing.
• CI/CD-integrated test automation and pipelines.
• Validated microservices, REST APIs, and multi-component deployments.
• Strong debugging and root cause analysis skills.

Responsibilities

• Design, develop, and execute test strategies and automated suites for cloud-native observability solutions.
• Build end-to-end test automation frameworks and integrate into CI/CD workflows.
• Investigate defects, support root cause analysis and quality improvements.
• Validate distributed systems, microservices, APIs, and Kubernetes deployments.
• Promote quality engineering best practices and data-driven improvements.
• Leverage AI-powered testing tools to improve test effectiveness.

Skills

System testing

QA automation

CI/CD

Debugging

Education

Engineering degree

Tools

Kubernetes

OpenShift

Helm

Jenkins

PromQL

Job description

We are seeking talented System QA & Automation Engineers with 5+ years of experience and a passion for delivering high-quality, cloud-native software solutions. In this role, you will design, develop, and execute test strategies and automation solutions for end-to-end system validation of cutting-edge applications in the observability domain, leveraging modern testing frameworks, cloud-native technologies, and automation tools. You will collaborate closely with development, product, and operations teams to ensure product quality, reliability, performance, scalability, and operational readiness while driving continuous improvement in system testing, test automation, and quality engineering practices within an agile environment.

Responsibilities

• Design, develop, and execute comprehensive test strategies, test plans, and automated test suites to validate cloud-native observability solutions for functionality, reliability, scalability, and performance.
• Develop and maintain end-to-end test automation frameworks and pipelines, integrating automated validation into CI/CD workflows to improve test coverage, efficiency, and release quality.
• Investigate, reproduce, and validate software defects and customer-reported issues, collaborating with development teams to support root cause analysis, defect prevention, and product quality improvements.
• Drive system-level validation of distributed systems, microservices, APIs, and Kubernetes-based deployments, ensuring operational readiness across complex deployment environments.
• Champion quality engineering best practices through continuous testing, test automation, Escaped
• Defect Analysis (EDA), and data-driven continuous improvement initiatives.
• Leverage AI-powered testing tools, intelligent automation techniques, and modern quality engineering practices to improve test effectiveness, productivity, and overall software quality.

Qualifications

You Have:

• Engineering degree with 5+ years of experience. Experience in System Testing, QA Automation, and Quality Engineering for cloud-native, distributed, or enterprise software products.
• Strong hands-on experience in designing and implementing test automation frameworks, API testing, end-to-end system validation, regression testing, and CI/CD-integrated test automation.
• Proven expertise in validating microservices-based applications, distributed systems, REST APIs, and complex multi-component deployments.
• Strong experience with Kubernetes, OpenShift, Containers, and Helm, including deployment validation, troubleshooting, upgrade testing, and platform-level verification.
• Experience testing large-scale data ingestion, streaming, and observability platforms involving Kafka, telemetry pipelines, and data-intensive systems.
• Strong knowledge of observability technologies, including metrics, logs, traces, OpenTelemetry (OTLP), PromQL/VMQL, VictoriaMetrics, and monitoring-driven validation approaches.
• Hands-on experience with CI/CD, Jenkins, test automation pipelines, performance testing, reliability testing, defect analysis, and quality engineering best practices, including Escaped Defect Analysis (EDA). Strong debugging, root cause analysis, problem-solving, and cross-functional collaboration skills.

Nice to Have:

• Experience with AI-powered testing tools, intelligent test automation, and AI-assisted quality engineering practices.
• Experience with observability and AIOps-driven validation approaches for cloud-native platforms.
• Exposure to telecom network management, network analytics, or autonomous network solutions. Experience working in Agile/Scrum development environments.