Senior Backend Engineer

We are seeking a Senior Backend Engineer to become an integral part of our R&D team, focused on solving complex challenges across the backend architecture. The ideal candidate will bring a knack for creative problem-solving, skillfully balancing practical needs with innovative solutions for both current and future considerations.

We are a rapidly growing product-led SaaS startup dedicated to revolutionizing efficiency, intelligence, collaboration, and safety through our proprietary speech-powered AI technology. With a strong investment of $33 million from top-tier VCs, including New Era Capital Partners and Hamilton Lane, we are well-positioned to make a significant impact in the industry.

At aiOla, we have a talented team of professionals spanning Israel and the US, encompassing Product, Data Science, Data Engineering, Analytics, Marketing, and Customer Success. Our culture thrives on collaboration, innovation, and a shared ambition to excel. We are looking for visionary thinkers and innovative creators who are passionate about pushing the boundaries of AI and making a tangible impact in everything we do. Join us on an incredible journey of continuous learning and personal growth.

Requirements:

• 6+ years of hands-on development experience, preferably using TypeScript and Node.js.
• Strong cloud experience, primarily with AWS tools like Lambda, DynamoDB, and Kubernetes.
• A B.Sc in Computer Science is an advantage.
• Extensive knowledge of modern backend frameworks, scalable software development practices, and a solid understanding of microservices architecture.
• Experience working on large-scale, production-grade projects.
• Familiarity with CI/CD methodology.
  
  

• Solve complex problems at the architectural, coding, and product levels.
• Discover creative solutions that balance practicality and innovation, considering both short- and long-term goals.
• Construct a multi-cloud architecture and solutions using AWS, GCP, and Azure, leveraging both cloud-agnostic and cloud-native tools.
• Create the infrastructure for advanced ML solutions in production.
• Join the aiOla R&D team to implement new and exciting features end-to-end in collaboration with the product team.