Top Senior Level QA Engineer Jobs

As a Senior Full Stack Software Engineer, you will develop solutions, analyze problems, mentor the team, manage escalated support, and ensure quality and documentation throughout the software development lifecycle.

As a Senior Software Engineer, you will implement new features, improve code quality, and mentor teammates. Responsibilities include writing sustainable code, reviewing peer submissions, debugging, and ensuring security practices are followed. You will actively participate in code reviews and help your team achieve business goals while fostering a collaborative environment.

The Cloud Operations Engineer will enhance Octaura's operations platform by automating processes, deploying updates, troubleshooting production issues, and integrating strategic solutions. Responsibilities include improving platform stability, supporting development teams with Agile and DevOps practices, ensuring compliance, and developing monitoring and security tools.

As an Engineering Manager at Xero, you'll lead a team of engineers to develop embedded accounting platforms, implement successful delivery strategies, and foster a collaborative team environment. You will guide technical development, oversee project execution, manage stakeholder relationships, and mentor team members to reach their potential.

Lead and oversee a team of developers in the Portfolio Management System, ensuring project delivery, mentoring junior members, and guiding the software development lifecycle. Identify inefficiencies in development processes and enhance team productivity.

The Senior Software Engineer will focus on the development and ownership of Android Mobile Apps, primarily using Java and Kotlin. Responsibilities include building new features, supporting existing applications, ensuring quality through testing, and collaborating with various teams to enhance product documentation and overall customer interaction.

The Staff ML Engineer will help build an AI-first notifications system using advanced machine learning techniques. Responsibilities include developing and deploying targeting and timing models, improving user engagement with notifications, and ensuring ethical use of ML/AI.