Senior QA Automation Engineer

Jobtailor; Bengaluru; On-site; INR 1,400,000 - 2,200,000; Full time

Job summary

Jobtailor is seeking an experienced Senior Quality Engineer to design, develop, and scale test automation for cloud-native observability platforms. You will own end-to-end quality validation from test strategy to release readiness and drive automation-first practices across CI/CD pipelines to accelerate delivery.

You will collaborate with developers, product teams, and DevOps to embed quality throughout the software lifecycle, leveraging AI-assisted testing to improve coverage and reduce manual

Qualifications

• Engineering degree with 5+ years in software testing and quality engineering.
• Hands-on experience building scalable test automation frameworks.
• Experience with cloud-native apps on Kubernetes/OpenShift.
• Strong API, integration, system, and end-to-end testing skills.
• CI/CD-driven test automation using Jenkins, Git, Helm.

Responsibilities

• Design, develop, and enhance test automation frameworks and quality engineering solutions for cloud-native observability platforms.
• Own end-to-end quality validation activities from strategy to release readiness.
• Drive automation-first testing practices across CI/CD to accelerate delivery.
• Identify, analyze, and track defects, ensuring timely resolution.
• Leverage AI-assisted testing tools to improve coverage and efficiency.
• Collaborate with developers, product management, and DevOps to embed quality.
• Drive continuous improvements in quality engineering and Agile delivery.

Skills

Test automation development

Cloud-native testing

CI/CD implementation

Defect management & RCA

Agile/Scrum collaboration

Education

Engineering degree

Tools

Java

Python

Go

API Testing

End-to-End Testing

Kubernetes

Jenkins

Kafka

ETL Pipelines

Job description

• Design, develop, and enhance test automation frameworks and quality engineering solutions for cloud-native observability platforms
• Own end-to-end quality validation activities, from test strategy and test design to automation, execution, reporting, and release readiness
• Drive automation-first testing practices across CI/CD pipelines to accelerate delivery, improve release confidence, and reduce manual effort
• Identify, analyze, and track software defects, collaborating with engineering teams to ensure timely resolution and continuous quality improvements
• Leverage AI-assisted testing and engineering productivity tools to improve test coverage, accelerate defect discovery, and enhance overall testing effectiveness
• Collaborate with developers, product management, and DevOps teams to embed quality throughout the software development lifecycle
• Drive continuous improvements in quality engineering practices and Agile delivery processes

Requirements

• Engineering degree with 5+ years of experience in software testing and quality engineering
• Strong experience in test automation development using Java, Python, Go, or similar programming languages, including building scalable automation frameworks
• Hands-on experience testing cloud-native applications deployed on Kubernetes/OpenShift, including microservices-based and distributed systems architectures
• Strong knowledge of API, integration, system, and end-to-end testing using modern automation tools and frameworks
• Experience implementing and maintaining CI/CD-driven test automation using Jenkins, Git, Helm, and containerized deployment pipelines
• Experience testing data-intensive and event-driven systems involving Kafka, databases, ETL pipelines, and large-scale data processing workflows
• Strong defect management, troubleshooting, test analysis, and Root Cause Analysis (RCA) skills for complex distributed applications
• Experience working in Agile/Scrum environments with strong collaboration skills and a quality-first mindset
• Good understanding of observability and telemetry concepts, including metrics, logs, traces, and validation of monitoring and analytics platforms
• Exposure to AI-assisted testing tools, intelligent automation practices, or AI/ML-driven quality engineering approaches
• Experience working with telecom network management, observability, analytics, or autonomous network solutions

Core Competencies

Demonstrates expertise in test automation development and quality engineering for cloud-native applications, with a strong focus on CI/CD practices and collaboration across Agile teams. Proficient in leveraging modern automation tools and AI-assisted testing to enhance software quality and delivery.

Highest-signal resume keywords

• Test Automation Development
• Cloud-Native Applications Testing
• CI/CD Pipeline Implementation
• Defect Management and Root Cause Analysis
• Agile/Scrum Collaboration

Hard Skills

• Java
• Python
• Go
• API Testing
• End-to-End Testing
• Kubernetes
• Jenkins
• Kafka
• ETL Pipelines
• Root Cause Analysis

Soft Skills

• Collaboration
• Quality-First Mindset
• Troubleshooting

Industry Keywords

• Cloud-Native
• Microservices
• Distributed Systems
• Telecom Network Management
• Analytics

Tools & Technologies

• Jenkins
• Git
• Helm
• AI-Assisted Testing Tools
• Observability Platforms