Software Development Engineer in Test II
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Protocol Intelligence
Data-driven signals on your job's competitivenessHigh competition due to strong employer brand, metro location, mid-level SDET title, and broad automation skill requirements.
Medium: core automation skills transfer, but ETL, data-pipeline, and AI-agent expertise favor analytics-focused companies.
High due to explicit 3–5 years requirement and mandatory Java, CI/CD, cloud, and automation framework expertise.
Job Description
Structured overview of role & requirementsAbout This Role
Design, develop, and maintain scalable test automation tools and frameworks focused on reliability, performance, and data correctness.
Develop AI-assisted tools and workflows integrated into automation and release pipelines to enhance debugging, testing, and engineering productivity.
Coach quality engineers in automation best practices and collaborate cross-functionally to uphold high automation standards.
Minimum Requirements
3 to 5 years of software industry experience with strong expertise in Java and test automation.
Experience with cloud platforms (AWS, GCP, Azure) and containerized environments (Docker, Kubernetes).
Proficiency in designing scalable automation frameworks and understanding distributed systems risks like data inconsistencies and race conditions.
Work Experience Required: 3 to 5 years in software development and test automation (explicitly mentioned).
Ideal Candidate Profile
Strong background in backend automation frameworks with ability to handle complex, high-risk testing scenarios in distributed systems.
Experience building and integrating AI/LLM-powered tools into CI/CD pipelines to improve test design, debugging, and automation efficiency.
Outcome-focused engineer measuring success via reliability, automation impact, and velocity rather than output volume.