QA Automation

Calsoft Japan; Pune District; On-site; INR 600,000 - 1,200,000; Full time

Job summary

Calsoft Japan in Pune, India seeks a QA Engineer to own quality outcomes within a product development pod. You’ll perform both manual testing and test automation, collaborating with developers and PMs to shape quality gates and release readiness.

You’ll grow automation depth using AI-assisted tools, write and maintain test cases, and surface risks early. The role demands strong communication and a proactive mindset for fast-paced SaaS environments.

Qualifications

• Hands-on QA experience in a fast-moving SaaS product environment.
• Experience using AI coding/testing assistants in day-to-day work.
• Strong ability to read, write, and reason about code and contribute to test automation frameworks.
• Experience with both manual testing and test automation.

Responsibilities

• Serve as the QA owner for your dev pod test strategy, automation coverage, and quality sign-off for your team's features.
• Grow your automation depth and agentic tooling fluency over time.
• Take ownership incrementally as you build trust and track record.
• Write and maintain test cases across manual and automated coverage for your pod's features.
• Help ensure shift-left practices and clear quality gates are part of the definition of done.
• Surface quality risks to the dev team and PM early before code ships.
• Track relevant quality metrics for your area: defect leakage, escaped defects, automation coverage.

Skills

QA & Automation

Manual Testing

Automation Frameworks

AI Testing Tools

Soft Skills

Tools

Claude Code

Copilot

Kiro

Codex

Job description

Role & responsibilities

This is a QA Engineer role on our Quality Engineering team. You'll be embedded directly alongside a product development pod, owning quality outcomes for that surface area manual testing and automation are not separate functions here; you'll do both.

What You'll Own

• Serve as the QA owner for your dev pod test strategy, automation coverage, and quality sign-off for your team's features
• Grow your automation depth and agentic tooling fluency over time
• Take ownership incrementally as you build trust and track record

Quality Execution

• Write and maintain test cases across manual and automated coverage for your pod's features
• Help ensure shift-left practices, automation coverage, and clear quality gates are part of the definition of done
• Surface quality risks to your dev team and PM early before code ships, not after
• Track relevant quality metrics for your area: defect leakage, escaped defects, automation coverage, regression stability

AI-Assisted QA Engineering

• Use agentic tools (Claude Code, Kiro, Codex, or similar) to help generate test cases, triage CI failures, and maintain regression suites
• Validate AI-generated test output for correctness you're responsible for what ships, even when a tool helped write it
• Bring ideas back to the team on ways AI tooling can speed up testing work

Automation & Execution

• Contribute to test plans, sprint readiness, and release sign-off for your area
• Flag capacity risks and blockers early

Must Have

• 4 to 7 years of experience in QA or Quality Engineering, ideally in a fast-moving SaaS product environment (daily/weekly/bi-weekly releases)
• Hands-on experience using AI coding/testing assistants (Claude Code, Copilot, Kiro, Codex, or similar) in your day-to-day work
• Solid coding ability you can read, write, and reason about code, and contribute to or review test automation frameworks
• Experience with both manual testing and test automation comfortable moving between the two
• Strong communication and partnership instincts with developers and PMs
• Familiarity with shift-left practices thinking about quality early in the dev cycle
• Comfort with ambiguity able to take a fuzzy quality goal and turn it into concrete test coverage

Strong Plus

• Exposure to agentic QA workflows self-healing tests, AI-generated regression suites, automated triage
• Background or interest in AppSec or security tooling (SAST, DAST, SCA, integrations)
• Experience testing AI features - understanding of prompting, output validation, hallucination risks
• Experience working in a pod or squad model with embedded QA