Lead SDET, Open Source Data Platform (ODP)

As a Lead SDET at Open Source Data Platform (ODP), your primary responsibilities will include developing comprehensive test strategies, executing test plans, writing automated test scripts, and conducting functional, regression, and performance testing. You will also focus on identifying and fixing defects, collaborating with cross-functional teams, and continuously improving testing practices to align with industry standards.

To apply for the Lead SDET position at Open Source Data Platform (ODP), you should have 6-10 years of hands-on experience in quality engineering and assurance, particularly focusing on test automation and performance testing. Proficiency in programming languages such as Java, Python, or Scala and experience with CI/CD tools like Jenkins or GitLab CI are also essential qualifications.

The Lead SDET role at Open Source Data Platform (ODP) is crucial for ensuring the quality of big data solutions. By implementing robust testing strategies and automating test processes, you will help maintain high standards of quality, identify defects early, and optimize overall system performance. Your contributions will directly enhance the reliability of our data solutions at scale.

Successful candidates for the Lead SDET position at Open Source Data Platform (ODP) should possess strong testing automation, defect management, and collaboration skills. Proficiency in programming languages, experience with testing frameworks, and a proactive mindset toward quality engineering are also key attributes necessary for success in this role.

At Open Source Data Platform (ODP), the working environment for a Lead SDET is collaborative and dynamic. You'll work closely with product teams and developers, tackling challenging projects in a supportive atmosphere that encourages innovation and knowledge sharing. With a focus on continuous improvement and mentorship opportunities, you will find a nurturing space to grow professionally.

Sure! In my previous roles as a SDET, I focused heavily on building robust automation frameworks to ensure efficient and reliable testing processes. I utilized programming languages like Python and Java to create automation scripts that covered functional and non-functional testing. I’d love to share specific examples of how these initiatives resulted in improved product quality and faster release cycles.

When it comes to performance testing for large-scale data systems, I employ a structured approach: I start by defining key performance indicators (KPIs) and configuring realistic testing environments that mirror production. Then, I use tools like JMeter or LoadRunner to simulate user activity and identify bottlenecks. Finally, analysis of the results helps me provide actionable insights to optimize performance.

I'm well-versed in several testing frameworks such as Selenium for web applications, JUnit for unit tests, and TestNG for executing test cases in groups. I've used these frameworks to automate regression tests and streamline our CI/CD process, which helped catch potential defects early in the development cycle.

Certainly! I remember a specific instance where I was conducting regression testing and discovered a critical defect that could have impacted the product's functionality. By collaborating closely with the development team, we prioritized fixing it before release. As a result, we avoided significant delays and ensured a smooth deployment, demonstrating the importance of thorough testing.

I prioritize open and transparent communication by scheduling regular catch-ups and using collaboration tools like Jira and Slack. I also engage in pair-testing with developers to foster teamwork. Creating a shared understanding of quality goals ensures that we work towards the same objectives and enhance overall product quality.

In my mentoring approach, I begin by assessing the strengths and weaknesses of junior engineers. I encourage them to take on challenging tasks while providing guidance. I also conduct workshops and code reviews, offering constructive feedback that helps them grow in their testing skills and knowledge of best practices.

To drive continuous improvement in testing processes, I advocate for regular retrospectives after each sprint to identify what worked well and what didn’t. I also stay updated with industry trends, exploring new tools and methodologies that can be applied. This ensures that our testing practices are always evolving to meet the demands of our projects.

In high-pressure situations, I prioritize my tasks and ensure open lines of communication with the team. I focus on identifying the root cause to implement an effective fix quickly. My experience has taught me to remain calm, follow structured troubleshooting processes, and deliver timely solutions to prevent delays.

I believe that a balanced approach is key. I utilize manual testing to explore and identify areas that require deeper investigation, while focusing on automating repetitive and time-consuming tasks. This strategy allows me to optimize resource utilization, enhance efficiency, and provide comprehensive coverage in testing.

What excites me the most about the Lead SDET role at Open Source Data Platform (ODP) is the chance to work with cutting-edge technologies and be part of a team that values quality at every level. I’m keen on driving quality initiatives, fostering a collaborative environment, and mentoring others while contributing to innovative and impactful solutions in the data landscape.