Revefi
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As a Lead Front End Engineer, you will design and architect the Revefi Web Front End system, develop software using HTML, JavaScript, CSS, React, Angular, and GraphQL, and lead a team to ensure high-quality code and successful project delivery while collaborating with Back End Engineering and participating in agile processes.
The Principal Backend Engineer will design and maintain a cloud-based SaaS platform, focusing on scalable backend systems. Responsibilities include leading architecture, collaborating with cross-functional teams, developing code in Java and Python, and mentoring junior engineers. A strong commitment to high-quality standards and recent technical trends is essential.
The Lead Software Engineer will design, develop, and maintain a cloud-based SaaS platform, lead technical direction for backend systems, collaborate with cross-functional teams, optimize performance, and mentor junior engineers while ensuring high-quality implementations.
Develop and implement machine learning models for improving business processes and outcomes. Responsible for the full ML stack of the product.
As a Principal Frontend Engineer, you will design and architect the Revefi web frontend for both desktop and mobile, collaborate with backend teams, implement reusable design components, and lead a development team to ensure high-quality coding practices. This role involves building a SaaS product focused on data observability.
Revefi is looking for a Senior Front End Engineer/Team Lead to design and architect a cloud-based data observability solution. Responsibilities include leading a team, developing software with HTML, JavaScript, CSS, React, Angular, GraphQL, and ensuring high-quality project deliverables in an agile environment.
As a Senior Product Manager at Revefi, you will lead product strategy and development, collaborate with engineering and design teams, and ensure impactful features are aligned with customer needs and market trends in the data observability space.
The Senior/Lead Backend Engineer will design, develop, and maintain a cloud-based SaaS platform. Responsibilities include leading backend system architecture, collaborating with teams, optimizing system performance, conducting testing, and mentoring junior engineers.
As an ML Engineer, you will develop and implement machine learning models to enhance business processes, focusing on anomaly detection and time series forecasting. You will participate in the full ML stack, from design and development to testing and deployment, using various algorithms and programming languages.