รber diese SDET (Software Development Engineer in Test) Stelle bei Weekday AI
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 experiencedย Lead Software Engineer โ SDETย 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
- Design, develop, and maintain scalableย automated test frameworks and test suitesย for front-end and back-end applications.
- Develop automated and unit tests usingย Python, Java, or Node.js/JavaScript.
- Apply strongย Object-Oriented Programming, software design, and engineering principlesย to test automation.
- Collaborate with developers, product managers, and engineering stakeholders throughout the SDLC.
- Develop and execute test scenarios usingย Gherkin and BDD methodologies.
- Identify, troubleshoot, and resolve quality issues across applications, APIs, and distributed services.
- Integrate automated testing and quality gates intoย CI/CD pipelines.
- Support testing and deployment of cloud-based applications, particularly withinย AWS environments.
- Validate distributed systems and messaging platforms such asย 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 usingย Jira, Xray, and Confluence.
- Monitor application quality and performance using tools such asย 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 experienceย in SDET, Software Engineering, SRE, Quality Engineering, or related roles.
- Strong hands-on experience inย automated and unit testingย of front-end and back-end applications and services.
- Proficiency in at least one programming language:ย Python, Java, or Node.js/JavaScript.
- Strong understanding ofย OOP, software design principles, and scalable automation architecture.
- Experience working inย Agile or Lean software development environments.
- Hands-on experience withย Git, Jira, Confluence, and standard SDLC practices.
- Strong coding and debugging skills with an ability to build maintainable automation solutions.
- Experience with production development usingย Python, Flask, Django, React, or Node.jsย is an advantage.
- Strong backend development experience usingย Python or Java.
- Experience building and deploying applications onย AWS, including awareness of cost and performance optimization.
- Exposure toย Kafka, Amazon SQS, or Kinesisย and distributed system testing.
- Proficiency inย Gherkin and BDD-based automation.
- Experience withย Docker, Kubernetes, and Spinnakerย is preferred.
- Familiarity withย SonarQube, Grafana, and Datadogย for code quality, monitoring, and observability.
- Strong understanding ofย CI/CD, cloud infrastructure, containers, and distributed systems.
- Excellent analytical, communication, collaboration, and problem-solving abilities.
- A strong sense of ownership with the ability toย drive quality across the entire software development lifecycle.