Senior QA Automation

DataArt; Bengaluru; Hybrid; INR 900,000 - 1,500,000; Full time

Benefits offered by this job

Flexible work formats

Office, hybrid or remote options

Global official locations

Secure equipment provided

Referral bonuses and certification支持

Job summary

DataArt is seeking a QA automation specialist in Bengaluru to design, implement, and maintain automated test suites for backend and frontend components. You will validate APIs, data, and UI, while improving testing practices and automation adoption across the team.

The role aligns with India office hours and requires coordinated sessions with the US Pacific time zone. You will contribute to automation standards, test plan documentation, and cross‑functional collaboration to ensure high quality

Qualifications

• Demonstrated experience in a QA Engineer, SDET, or comparable technical testing role.
• Experience using AI tools for test development.
• Experience with Playwright.
• Python experience of at least 2 years (TI evaluation for external candidates).
• Strong API testing experience with JSON payloads.
• Ability to work with Swagger/OpenAPI specifications and API documentation.
• Strong SQL skills for data validation in relational databases.
• Experience testing distributed services across multiple components.
• Ability to isolate defect sources across data, API processing, orchestration, persistence, or consumption.
• Experience designing/extending automated tests for APIs, integrations, or data pipelines.
• Clear written communication and disciplined defect documentation.

Responsibilities

• Design and maintain automated test suites for backend services and user interfaces.
• Validate REST APIs including functional behaviour, error handling, and data accuracy.
• Perform data validation using SQL and NoSQL tools.
• Support UI and UX testing with a focus on usability and consistency.
• Analyse test outcomes and work with engineering teams to resolve issues.
• Help maintain automation standards and contribute to improvements in testing coverage.
• Assist other QA team members by sharing automation knowledge and best practices.
• Contribute to documentation of test plans, test cases, and automated workflows.

Skills

QA Engineer

SDET

Test Automation

Playwright

Python

API testing

Swagger

OpenAPI

SQL

NoSQL

Data validation

Documentation

Job description

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Technology stack

Python, Swagger, OpenAPI, SQL, JSON, APIs, Relational databases

Project overview

You will contribute to a quality validation platform that ensures consistent behaviour of services, data flows, and user interfaces across a distributed system. The project focuses on automation coverage, API validation, and UI testing, with ongoing improvements to testing reliability and team wide quality practices.

Position overview

You will work as a QA automation specialist responsible for designing, implementing, and maintaining automated test suites across backend and frontend components. You will validate data, APIs, and user interfaces, and support engineering teams by improving testing practices and helping others adopt automation workflows. This role follows standard India office hours and includes at least one hour of overlap with the United States Pacific time zone for coordinated sessions.

Responsibilities

• Design and maintain automated test suites for backend services and user interfaces
• Validate REST APIs including functional behaviour, error handling, and data accuracy
• Perform data validation using SQL and NoSQL tools
• Support UI and UX testing with a focus on usability and consistency
• Analyse test outcomes and work with engineering teams to resolve issues
• Help maintain automation standards and contribute to improvements in testing coverage
• Assist other QA team members by sharing automation knowledge and best practices
• Contribute to documentation of test plans, test cases, and automated workflows

Requirements

• Demonstrated experience in a QA Engineer, SDET, Test Automation Engineer, or comparable technical testing role.
• Experience using AI tools for test development
• Experience with Playwright
• Experience with Python at least 2 years, and for external candidate Python has to be evaluated during TI
• Strong hands on API testing experience, including creating calls and analyzing JSON request and response payloads.
• Ability to work effectively with Swagger and OpenAPI specifications and API documentation.
• Strong SQL skills and experience validating data directly within relational databases.
• Experience testing integrations or distributed services where a transaction passes through multiple components.
• Ability to independently isolate whether a defect originates in source data, API processing, orchestration, persistence, or consumption.
• Experience designing or extending automated tests for APIs, integrations, or data pipelines.
• Clear written communication and disciplined defect documentation.

We offer

• As per the laws of your country. We do ask you to take a proper rest
• We help you to take out an insurance policy for you and your loved ones
• According to the official calendar, regardless of the client’s schedule
• Two large corporate parties and many small get-togethers for colleagues
• Solving technical and everyday problems at work
• The benefits package may vary depending on the region and the type of contract

FAQ for Candidates

Work on global projects, grow your career in a supportive, flexible, and innovative tech environment. We help cover the cost of IT certifications and provide access to top-tier courses and learning platforms. View current openings and take the next step with us.

What does DataArt do, and which industries does it serve?

DataArt is a global software engineering company that helps businesses build powerful data, analytics, and AI solutions. We work with clients across a range of industries including Finance, Healthcare & Life Sciences, Consumer Goods & Retail, Travel, Media & Entertainment, Mobility, and Manufacturing.

What's the work-life balance like at DataArt? Does DataArt offer remote work options?

DataArt supports flexible work formats to help you find the balance that works best for you. You can choose to work from the office, go hybrid, or stay fully remote each option comes with equal opportunities for growth. We’ll help set you up with secure access and the equipment you need. With 46 remote and onsite official locations, you can join us from almost anywhere in the world.

At DataArt, we put people first—fostering a culture built on trust, flexibility, and professional growth. We believe in open communication, mutual respect, and the freedom to choose how and where you work. Diversity, equity, and inclusion are core to our values, and we actively support a workplace where everyone can thrive. From mental health support to global sustainability efforts, we aim to create a healthy, empowering environment for all.

What is the typical career path at DataArt?

There's no one-size-fits-all career path at DataArt—your growth is yours to shape. Whether you want to deepen your technical skills, move into management or sales, or even switch professions entirely, you'll have the support to do it. With exam fees fully covered, you can also earn professional certifications, like AWS, Azure, or Google Cloud. With tools like the Professional Development Map, the Talent Lab, and access to expert mentoring, we help you build your desired career.

What can I expect in terms of compensation and benefits at DataArt?

DataArt offers competitive compensation along with a range of thoughtful benefits that support your well-being, growth, and daily comfort. You’ll get flexible vacation and sick leave, mental health programs, and access to a corporate laptop or BYOD option. We also offer bonuses for referrals, parental leave, and smooth exit and return-to-work options.

How does DataArt approach employee retention and turnover?

At DataArt, we focus on creating an environment where people want to stay and grow. With 95% of employees recommending us to a friend on Glassdoor and a 100% CEO approval rating, we’re proud of the trust we’ve built. From mentoring programs and professional development services to support and conflict resolution programs, we invest in our colleagues' growth and wellbeing—because when people feel valued, they stick around.

What is the interview process like, and how can I prepare?

Our interview process is designed to be thorough, transparent, and supportive. It starts with a CV review, followed by an HR interview to discuss your background and goals. You'll then go through communication and technical assessments, where we evaluate your English skills and knowledge of relevant technologies. If all goes well, you’ll meet someone from the project team to learn more about the work, and we’ll guide you every step of the way—including helping you prep for any client interviews.

Read more and get tips for each stage here.

What skills and experience does DataArt look for in candidates?

DataArt looks for candidates with strong technical skills, analytical thinking, and a commitment to continuous learning. We value experience in relevant technologies and industries, adaptability, and excellent communication skills. If you’re a junior or just starting out, don’t worry—our mentorship programs and training will support your growth from day one. The most important thing is your willingness to learn and develop professionally in our collaborative, people‑first environment.

How does DataArt support learning and professional development?

At DataArt, continuous learning is part of our culture. You’ll have access to expert mentors, leadership guidance, and thousands of courses from top platforms like Udemy and LinkedIn Learning. You can shape your own path—whether it’s growing within your role or switching to a new one.