We are in search of a motivated and experienced DevOps Engineer to become an integral part of our R&D team, focused on addressing intricate challenges. The ideal candidate will possess the ability to find creative solutions that strike a balance between practicality and innovation, considering both short-term and long-term implications.

aiOla is 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-tiered 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 across Israel and the US, encompassing Product, Software, DevOps, 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.

Responsibilities:

• Deploy and operate customer-facing cloud environments, utilizing containerized architecture.
• Support the ongoing R&D software development lifecycle from source control to CI/CD.
• Develop and execute infrastructure automation strategies, utilizing tools such as Terraform, Kubernetes, and Docker.
• Collaborate with software engineers, data engineers and data scientists to ensure that aiOla’s platforms are optimal, always available and tightly integrated.
• Play a key role in incident management, including on-call responsibilities and troubleshooting system issues.
• Implement security protocols and measures across all aspects of the infrastructure.
• Solve complex problems at the architectural and infrastructural levels, find creative solutions and balance practicality and innovation, considering both short and long-term.
• Foster a culture of continuous improvement, identifying and implementing enhancements in systems and processes.
  
  

Requirements:

• 5+ years of experience as a DevOps Engineer.
• Proficiency in cloud services management, with experience in platforms such as AWS, Azure, or GCP.
• Proficiency with IaC and configuration management tools (e.g. Terraform, Crossplane, Ansible).
• Proficiency with containerized environments and microservices (e.g. Docker, Kubernetes, EKS, GKE).
• Experience with monitoring and logging tools.
• Experience writing code (e.g. Python, Go) and scripts (Bash).
• Experienced in incident response and maintaining high-availability systems.
• Good understanding of security best practices in a DevOps context.
• Familiarity with the Machine Learning ecosystem and solutions - an advantage.
• Problem solver with the ability to articulate program issues and drive to resolution.
• Effective communication skills and ability to work collaboratively.
• Excellent written and verbal communication English skills.