Senior QA Automation Support Engineer

Description

Summary: Seeking a proactive and adaptable Senior QA Automation Support Engineer with experience in AI-native development and delivering software to production. Highlights: 1. Embrace AI-native development practices 2. Drive adoption of modern AI-assisted engineering practices 3. Contribute to CI/CD pipeline improvements and automated testing We are looking for a proactive and adaptable **Senior QA Automation Support Engineer** who embraces AI\-native development practices and has hands\-on experience delivering software into production environments. The ideal candidate is comfortable working in fast\-moving and evolving environments, can operate effectively with limited direction, and is capable of influencing teams through change, including teams that may initially resist AI\-driven approaches. This role is well\-suited for someone who combines strong QA and automation fundamentals with modern engineering practices, curiosity, and a collaborative mindset. **Responsibilities** * Develop, maintain, and support QA automation solutions and testing workflows across the software delivery lifecycle * Leverage AI\-powered engineering tools to enhance productivity, testing efficiency, and overall delivery quality * Participate in production support activities, including troubleshooting and issue resolution as needed * Collaborate with cross\-functional engineering teams to ensure software quality and reliability * Contribute to CI/CD pipeline improvements and support the integration of automated testing within delivery workflows * Help drive the adoption of modern AI\-assisted engineering practices across teams * Operate effectively in ambiguous or evolving environments by proactively identifying gaps and proposing solutions * Support continuous improvement initiatives related to QA processes, automation, and engineering excellence * Communicate clearly with both technical and non\-technical stakeholders while fostering a positive and collaborative working environment **Requirements** * At least 3 years of hands\-on experience in QA automation, software testing, or support engineering * Proven experience delivering software into production environments with a solid understanding of the full SDLC * Practical experience using AI tools in everyday engineering activities to boost productivity and quality * Strong grasp of QA fundamentals, testing strategies, and production\-ready software practices * Solid understanding of CI/CD concepts and pipelines, including tools such as GitHub Actions, Jenkins, or equivalent * Ability to work autonomously and drive progress in environments with shifting or evolving requirements * Strong communication and collaboration skills for working with diverse teams and stakeholders * Positive, curious, and adaptable mindset with a genuine willingness to continuously learn and grow **Nice to have** * Hands\-on experience with Python for scripting, automation, or tooling * Background in Test Automation or QA Engineering roles * Practical experience working with AI\-assisted development workflows * Understanding of how engineering work connects to broader business and product objectives * Exposure to enterprise\-scale or highly collaborative working environments * Previous experience with Cotality environments or projects is a plus