Software Engineer in Test II - Pytest

Job Description

Position Overview As a Software Engineer in Test II, you will play a critical role in ensuring the quality and performance of our News and Competitive Data Analysis Platform. You’ll collaborate closely with product managers, engineering leads, and DevOps to understand customer needs, define test strategies, and translate product requirements into comprehensive test plans—covering both manual and automated test cases You will contribute to building robust, scalable, and efficient testing systems across our Python/Django-based microservices, React frontends, and event-driven pipelines leveraging RabbitMQ and Celery. Your responsibilities will include performance testing, system load simulations, and optimization validations, especially across high-throughput services like Solr-powered search and PostgreSQL-based data retrieval. You’ll have the full power of AWS at your disposal while you focus on building and testing Serverless solutions (either brand new or assisting in migrating services to Serverless). As part of our core governance teams, your team will fully own their services (from code to deployment and monitoring), you’ll participate in feature design and architecture discussion and regularly demo to the entire department. Key Responsibilities Provide strong QA working across multiple teams, and influencing engineering culture and practices. Create and document test strategies and automated solutions for functional and non-functional testing. Work in a collaborative environment where you regularly pair, plan, and execute tasks as a team and strive to optimize your team’s Lead Time, Deployment Frequency, Mean-time-to-recovery, and Change Failure Rate. Create and review test scenarios and cases based on specifications, keep them updated, provide test estimates, and execute test cases. Analyze test results, investigate failures, and accurately record and follow through on defects to resolution. Familiarity with test management tools (e.g., JIRA, Zephyr). Conduct testing and validation of automated processes to ensure accuracy and reliability. Monitoring application performance and responding to incidents. What you need to succeed Bachelor’s degree in Engineering, Math, or a related field with 3+ years of software QA experience. Experience in both manual and automation testing by preparing exhaustive test cases (Regression , Integration , System , and/or Sanity Test cases) Experience with PyTest for testing APIs, back-end services. Experience in UI automation testing, preferably with Cypress (Or Selenium) Experience with test data preparation, mocking & stubbing Familiarity with test management tools (e.g., JIRA, Zephyr). Aware of end-to-end QA lifecycles Aware of continuous integration tools like CodePipeline or Jenkins. Experience or Aware of performance, load, and stress testing. Good to have AWS experience that includes AWS Serverless Framework (Lambda , Fargate etc) testing, Monitoring & Observability services ( like AWS Cloudwatch ) , Data warehousing ecosystems services