Job Opportunities API

The Public Ledger of Openings

← Back to the ledger

Senior QA Engineer (Automation)

Anchanto
CompanyAnchanto
CategoryEngineering
LocationPune
RemoteOn-site (inferred)
EmploymentNot stated
LevelSenior
SalaryNot stated by the employer
Posted8 May 2026
Last verified12 Aug 2026
SourceEmployer ATS (greenhouse)
Applications are handled by the employer, not by us.Apply on the employer's site →
Description
  Job Title -  Senior QA Engineer – Automation Location - Pune City, India   About Anchanto Build What Powers ECommerce Across Asia. At Anchanto, we’re on a mission to simplify and scale eCommerce operations for businesses globally. Our SaaS platforms power seamless integrations across marketplaces, logistics providers, and enterprise systems. With teams across Singapore, India, Southeast Asia, Australia, and beyond, we’re growing fast — and now expanding our Quality Engineering team in Pune City. Role Overview We are looking for engineers who have strong analytical, debugging, and troubleshooting capabilities across APIs, integrations, middleware systems, logs, and production environments within fast-paced enterprise SaaS ecosystems. The ideal candidate should also enjoy solving real-world problems through integrations and automation — connecting systems, validating seamless data movement, and building scalable test frameworks. The candidate should have 5–8 years of experience  in Integration Testing, System Testing, Non-Functional Testing (NFR), and Automation Engineering, along with 1–2 years of test framework development or software development experience  using Java, JavaScript/TypeScript, or Python . This is a hands-on technical role ideal for someone passionate about building modern automation frameworks (Playwright, Cypress, Selenium, etc.), architecting scalable quality engineering solutions, and driving intelligent automation across enterprise SaaS platforms. Key Responsibilities What You Will Do Master the end-to-end business logic of our SaaS platform and translate complex functional requirements (FSDs) into high-fidelity automated test scenarios reflecting real-world customer flows. Enhance and manage test automation suites validating integrations between our SaaS platform and external systems (marketplaces, logistics, ERP). Design and develop automated test scripts validating scalable backend services. Validate APIs and data exchange systems (REST, messaging). Build and scale an automation-first testing suite using Playwright/TypeScript , leveraging AI-assisted coding tools to accelerate automation development and improve engineering productivity. Integrate testing with observability tools ( New Relic, Datadog ) to analyze production logs and environment data, driving “Shift-Right” validation and simulating actual user behaviors. Implement self-healing mechanisms within the automation repository and lead NFR automation (Performance, Security, API reliability) to ensure production readiness. Own the integration of automated test suites into Jenkins/GitHub Actions  pipelines, ensuring quality gates are triggered at every commit to prevent defect leakage. Serve as a technical mentor to junior engineers, upskilling them in AI-prompt engineering and modern “Quality as Code” practices. Work closely with Product and Engineering teams to deliver high-quality solutions. Required Qualifications What We Are Looking For Strong analytical, debugging, and troubleshooting capabilities across APIs, integrations, middleware systems, logs, and production environments within enterprise SaaS ecosystems. 5–8 years of experience  in Software Quality Engineering for high-scale SaaS products. Expert-level proficiency in Playwright or Cypress (TypeScript/JavaScript)  with comfort in architecting distributed test execution. Strong hands-on experience with Integration and End-to-End testing . Experience validating messaging systems ( Kafka, RabbitMQ , etc.). Strong understanding of API integrations and data formats ( JSON, XML ). Familiarity with authentication protocols ( OAuth2, SAML ). Hands-on experience using Generative AI  for test data generation, automated PR reviews, and script refactoring. Ability to query and interpret logs from New Relic, Splunk, or Datadog