Job Description
Job Title - QA Engineer (Automation & AI-Driven Testing)
Job Location - Pune, Maharashtra
Budget - INR 30 lacs
Role Overview
As a QA Engineer , you will be responsible for ensuring product quality, reliability, and customer trust across our clients Saa S platform. You will design, build, and maintain modern test automation systems , including AI-assisted and intelligent testing tools , while working closely with engineering, product, and Dev Ops teams.
This role goes beyond manual testing—you will help establish quality engineering best practices , automate aggressively, and ensure high confidence in every release.
Key Responsibilities
Analyze product requirements and participate in test strategy, test planning, and risk assessment
Design, implement, and maintain automated test suites across API, UI, and end-to-end workflows
Build and evolve test automation frameworks to support fast-paced feature development
Leverage AI-powered / next-generation testing tools for test creation, maintenance, and optimization
Ensure quality gates across releases by tracking test coverage, defects, and release readiness
Participate in design and architecture discussions to proactively identify quality risks
Debug, troubleshoot, and root-cause functional, integration, and production issues
Collaborate closely with developers, product managers, and Dev Ops to improve system reliability
Integrate automated tests into CI/CD pipelines for continuous quality validation
Perform regression, integration, and performance testing as required
Review test cases and automation code from peers to maintain high quality standards
Learn and understand complex distributed systems , workflows, and domain-specific challenges
Work effectively in a fast-paced startup environment with high ownership
Must-Have Skills
2–6 years of experience in Quality Engineering / Test Automation for Saa S products
Strong experience testing APIs, web applications, and backend services
Hands-on experience with Python-based test automation
Experience building or maintaining custom or open-source test automation frameworks
Experience writing and executing functional, integration, and regression test cases
Exposure to AI-assisted / intelligent testing tools
Examples: self-healing tests, AI-based test generation, flaky test detection, or similar modern approaches
Strong debugging, troubleshooting, and analytical skills
Experience with cloud-based platforms and environments
Basic understanding of performance testing concepts
Experience with design, document, and execute test cases using test management tools
Log, track, and manage defects using JIRA
Familiarity with scripting languages such as Python, Shell, or Groovy
Excellent communication skills and ability to collaborate with cross-functional teams
Good-to-Have Skills
Hands-on experience integrating tests into CI/CD pipelines
Experience with Github Actions, Argo CD or similar CI tools
Exposure to cloud-native or Io T-based platforms
Understanding of build processes and deployment automation
Familiarity with Docker or containerized test environments
Experience testing distributed systems or event-driven architectures
Prior startup or fast-scaling product experience
Qualifications
Bachelor’s or Master’s degree in Computer Science, IT, or a related field from a reputed institution
Job Location - Pune, Maharashtra
Budget - INR 30 lacs
Role Overview
As a QA Engineer , you will be responsible for ensuring product quality, reliability, and customer trust across our clients Saa S platform. You will design, build, and maintain modern test automation systems , including AI-assisted and intelligent testing tools , while working closely with engineering, product, and Dev Ops teams.
This role goes beyond manual testing—you will help establish quality engineering best practices , automate aggressively, and ensure high confidence in every release.
Key Responsibilities
Analyze product requirements and participate in test strategy, test planning, and risk assessment
Design, implement, and maintain automated test suites across API, UI, and end-to-end workflows
Build and evolve test automation frameworks to support fast-paced feature development
Leverage AI-powered / next-generation testing tools for test creation, maintenance, and optimization
Ensure quality gates across releases by tracking test coverage, defects, and release readiness
Participate in design and architecture discussions to proactively identify quality risks
Debug, troubleshoot, and root-cause functional, integration, and production issues
Collaborate closely with developers, product managers, and Dev Ops to improve system reliability
Integrate automated tests into CI/CD pipelines for continuous quality validation
Perform regression, integration, and performance testing as required
Review test cases and automation code from peers to maintain high quality standards
Learn and understand complex distributed systems , workflows, and domain-specific challenges
Work effectively in a fast-paced startup environment with high ownership
Must-Have Skills
2–6 years of experience in Quality Engineering / Test Automation for Saa S products
Strong experience testing APIs, web applications, and backend services
Hands-on experience with Python-based test automation
Experience building or maintaining custom or open-source test automation frameworks
Experience writing and executing functional, integration, and regression test cases
Exposure to AI-assisted / intelligent testing tools
Examples: self-healing tests, AI-based test generation, flaky test detection, or similar modern approaches
Strong debugging, troubleshooting, and analytical skills
Experience with cloud-based platforms and environments
Basic understanding of performance testing concepts
Experience with design, document, and execute test cases using test management tools
Log, track, and manage defects using JIRA
Familiarity with scripting languages such as Python, Shell, or Groovy
Excellent communication skills and ability to collaborate with cross-functional teams
Good-to-Have Skills
Hands-on experience integrating tests into CI/CD pipelines
Experience with Github Actions, Argo CD or similar CI tools
Exposure to cloud-native or Io T-based platforms
Understanding of build processes and deployment automation
Familiarity with Docker or containerized test environments
Experience testing distributed systems or event-driven architectures
Prior startup or fast-scaling product experience
Qualifications
Bachelor’s or Master’s degree in Computer Science, IT, or a related field from a reputed institution
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