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SDET / Software Engineer in Test at Weekday โ Bengaluru ยท OnlySoftwareQA
Jobs โบ Bengaluru โบ SDET / Software Engineer in Test SDET (Software Development Engineer in Test) WE Weekday Staffing / recruitment consultancy 7+ yrs Bengaluru Work from office (5 days) Not disclosed What this listing does and doesn't tell you. Salary
Not disclosed Payroll
Direct โ employed by Weekday
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We last confirmed this listing was live on 21 Aug 2026.
๐ง๐ต๐ถ๐ ๐ฟ๐ผ๐น๐ฒ ๐ถ๐ ๐ณ๐ผ๐ฟ ๐ผ๐ป๐ฒ ๐ผ๐ณ ๐๐ต๐ฒ ๐ช๐ฒ๐ฒ๐ธ๐ฑ๐ฎ๐'๐ ๐ฐ๐น๐ถ๐ฒ๐ป๐๐
๐ฆ๐ฎ๐น๐ฎ๐ฟ๐ ๐ฟ๐ฎ๐ป๐ด๐ฒ: ๐ฅ๐ ๐ญ๐ด๐ฌ๐ฌ๐ฌ๐ฌ๐ฌ - ๐ฅ๐ ๐ฎ๐ฑ๐ฌ๐ฌ๐ฌ๐ฌ๐ฌ (๐ถ๐ฒ ๐๐ก๐ฅ ๐ญ๐ด-๐ฎ๐ฑ ๐๐ฃ๐)
Experience: 7+ yrs
Location: Bengaluru
Job Type: Full-time
We are looking for an experienced Lead Software Engineer โ SDET to drive quality engineering, test automation, and software development initiatives across front-end and back-end applications. This role is ideal for a strong software engineer who combines hands-on programming expertise with a deep understanding of automation, quality engineering, cloud platforms, and modern software development practices.
You will play a key role in building scalable automation frameworks, developing automated and unit tests, validating production applications, and embedding quality throughout the software development lifecycle.
Requirements
Key Responsibilities
What's Makes You a Great Fit
Must-haves Key Responsibilities
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Design, develop, and maintain scalable automated test frameworks and test suites for front-end and back-end applications.
Develop automated and unit tests using Python, Java, or Node.js/JavaScript .
Apply strong Object-Oriented Programming, software design, and engineering principles to test automation.
Collaborate with developers, product managers, and engineering stakeholders throughout the SDLC.
Develop and execute test scenarios using Gherkin and BDD methodologies .
Identify, troubleshoot, and resolve quality issues across applications, APIs, and distributed services.
Integrate automated testing and quality gates into CI/CD pipelines .
Support testing and deployment of cloud-based applications, particularly within AWS environments .
Validate distributed systems and messaging platforms such as Kafka, Amazon SQS, and Kinesis .
Participate actively in Agile/Lean practices, including sprint planning, reviews, retrospectives, and technical discussions.
Manage test cases, defects, and project documentation using Jira, Xray, and Confluence .
Monitor application quality and performance using tools such as SonarQube, Grafana, and Datadog .
Contribute to continuous improvement of automation frameworks, testing strategies, engineering standards, and quality processes.
Mentor team members and promote strong engineering and quality practices across development teams.
7+ years of experience in SDET, Software Engineering, SRE, Quality Engineering, or related roles.
Strong hands-on experience in automated and unit testing of front-end and back-end applications and services.
Proficiency in at least one programming language: Python, Java, or Node.js/JavaScript .
Strong understanding of OOP, software design principles, and scalable automation architecture .
Experience working in Agile or Lean software development environments .
Hands-on experience with Git, Jira, Confluence, and standard SDLC practices .
Strong coding and debugging skills with an ability to build maintainable automation solutions.
Experience with production development using Python, Flask, Django, React, or Node.js is an advantage.
Strong backend development experience using Python or Java .
Experience building and deploying applications on AWS , including awareness of cost and performance optimization.
Exposure to Kafka, Amazon SQS, or Kinesis and distributed system testing.
Proficiency in Gherkin and BDD-based automation .
Experience with Docker, Kubernetes, and Spinnaker is preferred.
Familiarity with SonarQube, Grafana, and Datadog for code quality, monitoring, and observability.
Strong understanding of CI/CD, cloud infrastructure, containers, and distributed systems .
Excellent analytical, communication, collaboration, and problem-solving abilities.
A strong sense of ownership with the ability to drive quality across the entire software development lifecycle .
Design, develop, and maintain scalable automated test frameworks and test suites for front-end and back-end applications.
Develop automated and unit tests using Python, Java, or Node.js/JavaScript .
Apply strong Object-Oriented Programming, software design, and engineering principles to test automation.
Collaborate with developers, product managers, and engineering stakeholders throughout the SDLC.
Develop and execute test scenarios using Gherkin and BDD methodologies .
Identify, troubleshoot, and resolve quality issues across applications, APIs, and distributed services.
Integrate automated testing and quality gates into CI/CD pipelines .
Support testing and deployment of cloud-based applications, particularly within AWS environments .
Validate distributed systems and messaging platforms such as Kafka, Amazon SQS, and Kinesis .
Participate actively in Agile/Lean practices, including sprint planning, reviews, retrospectives, and technical discussions.
Manage test cases, defects, and project documentation using Jira, Xray, and Confluence .
Monitor application quality and performance using tools such as SonarQube, Grafana, and Datadog .
Contribute to continuous improvement of automation frameworks, testing strategies, engineering standards, and quality processes.
Mentor team members and promote strong engineering and quality practices across development teams.
What's Makes You a Great Fit
7+ years of experience in SDET, Software Engineering, SRE, Quality Engineering, or related roles.Strong hands-on experience in automated and unit testing of front-end and back-end applications and services.
Proficiency in at least one programming language: Python, Java, or Node.js/JavaScript .
Strong understanding of OOP, software design principles, and scalable automation architecture .
Experience working in Agile or Lean software development environments .
Hands-on experience with Git, Jira, Confluence, and standard SDLC practices .
Strong coding and debugging skills with an ability to build maintainable automation solutions.
Experience with production development using Python, Flask, Django, React, or Node.js is an advantage.
Strong backend development experience using Python or Java .
Experience building and deploying applications on AWS , including awareness of cost and performance optimization.
Exposure to Kafka, Amazon SQS, or Kinesis and distributed system testing.
Proficiency in Gherkin and BDD-based automation .
Experience with Docker, Kubernetes, and Spinnaker is preferred.
Familiarity with SonarQube, Grafana, and Datadog for code quality, monitoring, and observability.
Strong understanding of CI/CD, cloud infrastructure, containers, and distributed systems .
Excellent analytical, communication, collaboration, and problem-solving abilities.
A strong sense of ownership with the ability to drive quality across the entire software development lifecycle .
