Senior Automation QA Engineer – SDET

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Logo of Helpware

Helpware

1001 - 5000 employees

Founded 2015

📦 Logistics

📣 Marketing

💼 Consulting

💰 Seed Round on 2016-01

Logistics • Marketing • Consulting

Helpware is a digitally enabled People as a Services Outsourcer dedicated to enhancing customer experiences for high-growth, market-disrupting, and technology companies. They specialize in providing a wide array of services such as digital customer experience, content control and verification, AI-driven customer service, back-office support, and data labeling. Helpware also assists in areas like digital marketing support, cybersecurity, and software development. Operating globally, they offer culturally aligned and scalable team solutions across multiple countries. Helpware aims to drive brand loyalty and efficiency for its clients by providing human task services integrated with technology solutions.

📋 Description

• Analyze front-end and back-end systems for quality and reliability • Design and deploy automated testing at scale • Build and execute automated test cases for robust, reliable service pipelines • Perform integration testing across APIs, databases, flat files, systems, and interfaces • Partner with engineering teams on requirements and technical design reviews • Evaluate and evolve existing data test automation frameworks • Recommend and implement modern automation tools and techniques • Maintain and improve automated tests within CI/CD pipelines • Champion quality ownership across the team • Enable fast, direct feedback loops on every code submission

🎯 Requirements

• BS in Computer Science or equivalent practical experience • 4+ years as an SDET or in software development using C#, Python, or Go • Strong grasp of Object-Oriented Programming • Comfortable working across Windows and Linux • Experience with a major cloud platform: Azure, AWS, or GCP • Hands-on experience building and maintaining automated test frameworks • Performance testing experience with JMeter, Locust, Gatling, or K6 • Experience spotting quality issues in data collection, storage, and processing • Solid experience with relational databases: SQL Server, MySQL, Postgres, Oracle, or MariaDB • Experience with streaming platforms: Kafka, RabbitMQ, or Pub/Sub • Strong Git workflow experience • CI/CD platform experience with Azure DevOps, Jenkins, CircleCI, GitLab, Codefresh, or Rundeck • Root Cause Analysis and SLA/incident management experience • Experience debugging and parsing data pipelines • QA methodology foundation covering functional, performance, regression, black-box, and white-box testing • Passion for learning and clearly explaining technical concepts • Healthcare domain knowledge, especially EDI, NCPDP, and pharmacy/PBM transaction processing, is nice to have • Experience in HIPAA-, PCI-, or other high-security coding environments is nice to have • Open source contribution history is nice to have

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