SDET (Software Development Engineer in Test)

Posted 2 Days Ago
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Bengaluru, Bengaluru Urban, Karnataka, IND
In-Office
2M-3M Annually
Senior level
Artificial Intelligence • HR Tech • Professional Services • Software
The Role
Lead quality engineering and SDET initiatives across front-end and back-end applications. Responsibilities include building scalable automated test frameworks, developing unit and automated tests, validating APIs and distributed systems, integrating quality gates into CI/CD pipelines, and testing AWS applications and messaging platforms. The role also involves defect troubleshooting, monitoring application quality, Agile collaboration, documentation, continuous improvement, and mentoring team members.
Summary Generated by Built In

𝗧𝗵𝗶𝘀 𝗿𝗼𝗹𝗲 𝗶𝘀 𝗳𝗼𝗿 𝗼𝗻𝗲 𝗼𝗳 𝘁𝗵𝗲 𝗪𝗲𝗲𝗸𝗱𝗮𝘆'𝘀 𝗰𝗹𝗶𝗲𝗻𝘁𝘀

𝗦𝗮𝗹𝗮𝗿𝘆 𝗿𝗮𝗻𝗴𝗲: 𝗥𝘀 𝟭𝟴𝟬𝟬𝟬𝟬𝟬 - 𝗥𝘀 𝟮𝟱𝟬𝟬𝟬𝟬𝟬 (𝗶𝗲 𝗜𝗡𝗥 𝟭𝟴-𝟮𝟱 𝗟𝗣𝗔)

Experience: 7+ yrs

Location: Bengaluru

Job Type: Full-time

We are looking for an experienced Lead Software Engineer – 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.


RequirementsKey Responsibilities
  • 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.

Skills Required

  • 7+ years of experience in SDET, software engineering, SRE, quality engineering, or related roles
  • Hands-on experience with automated and unit testing for front-end and back-end applications and services
  • Proficiency in at least one of Python, Java, Node.js, or JavaScript
  • Strong understanding of object-oriented programming, 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, debugging, analytical, communication, collaboration, and problem-solving skills
  • Strong backend development experience using Python or Java
  • Experience building and deploying applications on AWS, including cost and performance optimization awareness
  • Exposure to Kafka, Amazon SQS, or Kinesis and distributed system testing
  • Proficiency in Gherkin and BDD-based automation
  • Strong understanding of CI/CD, cloud infrastructure, containers, and distributed systems
  • Experience with production development using Python, Flask, Django, React, or Node.js
  • Experience with Docker, Kubernetes, and Spinnaker
  • Familiarity with SonarQube, Grafana, and Datadog for code quality, monitoring, and observability
  • Ability to drive quality across the software development lifecycle and mentor team members
Am I A Good Fit?
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The Company
Year Founded: 2021

What We Do

Weekday is an AI-powered recruitment platform that helps startups hire top-tier engineering and product talent. By leveraging a massive database of white-collar professionals and advanced outreach tools, the company streamlines the hiring process through automated sourcing, AI-driven resume screening, and white-glove contingency services. Their mission is to modernize recruitment by enabling companies to discover and engage passive candidates efficiently, ensuring high-quality hires for critical roles.

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