Senior Staff Software Development Engineer

2 weeks ago


Bangalore IND, India Zscaler Full time ₹ 15,00,000 - ₹ 20,00,000 per year

Our Engineering team built the world's largest cloud security platform from the ground up, and we keep building. With more than 100 patents and big plans for enhancing services and increasing our global footprint, the team has made us and our multitenant architecture today's cloud security leader, with more than 15 million users in 185 countries. Bring your vision and passion to our team of cloud architects, software engineers, security experts, and more who are enabling organizations worldwide to harness speed and agility with a cloud-first strategy.

We're looking for an experienced Senior Staff Software Engineer to join our End point protection team. Reporting to the Engineering Manager; QA, you'll be responsible for:

  • Contributing for developing automated function test cases , building test infrastructure for the product needs and mentoring the juniors
  • Developing and maintaining the automation framework. Use in-house and modern tools to enable automation of network security products, scheduling of runs, etc
  • Implementing continuous integration and continuous deployment (CI/CD) pipelines to ensure smooth and efficient automation runs
What We're Looking for (Minimum Qualifications)
  • 10+ years of deep and relevant experience in automated testing, including design and development of test automation frameworks
  • Strong coding experience in Python
  • Proficiency in automation tools/platforms like Pytest, Selenium or equivalent for UI, API and CLI based automation
  • Expertise in networking protocols, connectivity testing, and internet security concepts (SSL, TLS, VPN, Zero Trust)
  • Solid understanding of Continuous Integration and Continuous Deployment (CI/CD) tools like Jenkins, GitLab CI, BitBucket etc
  • Extensive experience with API testing using tools such as Postman, REST-Assured, or equivalent
What Will Make You Stand Out (Preferred Qualifications)
  • Familiarity with cloud-based deployment architectures (AWS, GCP, Azure) and containerization (Docker, Kubernetes)
  • Proven track record of working in Agile methodologies, delivering complex projects with high-quality outputs
  • Excellent debugging, verification, and analytical skills to identify issues and root causes

#LI-GL2

#LI-Hybrid



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