Top Remote Senior Level QA Engineer Jobs

As a Senior Software Engineer at GrowthBook, you will work on building robust real-time analytics for feature flags, create automated test suites for various SQL data sources, and ensure reliable global propagation of feature flags at scale, all while contributing to an open-source platform.

As a Staff Software Engineer, you'll architect scalable systems, lead key projects, and mentor other engineers. You'll drive best engineering practices, collaborate closely with product teams to deliver user-centric solutions, and optimize application performance and scalability.

The Senior Software Engineer will focus on developing scalable backend systems and optimizing performance strategies. They will collaborate with cross-functional teams on blockchain solutions, provide insights on best practices for working with validators and traders, and engage in data analysis projects as needed.

The Senior Software Engineer will enhance the analysis engine of Mayhem, focusing on identifying bugs and security vulnerabilities. Responsibilities include developing features, fixing bugs, writing tests, and collaborating with support engineers. Ideal candidates have strong programming skills, knowledge of operating system concepts, and experience in vulnerability research or reverse engineering.

The NetSuite Solutions Architect designs and implements complex NetSuite solutions for clients, leading discovery sessions, documenting requirements, and ensuring effective project delivery while coaching team members. They also evaluate software solutions, develop functional documentation, and assist in sales activities.

As a Senior Fullstack Engineer, you will architect and develop a complex, distributed system, writing clean and maintainable frontend and backend code. You are expected to conduct code reviews, implement quality assurance practices, assist team members, and continuously learn and apply new technologies.

Seeking a Staff Engineer with 8-12+ years of software development experience to work in the GenAI / ML practice. Responsibilities include mentoring team members, shaping engineering culture, proposing and presenting tech solutions, and leading project teams to deliver deployable systems with high quality.