DevOps Engineer

Jeen.AI empowers enterprises with generative AI through advanced AI agents, automations, voice analytics, and knowledge-based insights across any cloud or on-premise environment. Trusted by industry leaders shaping tomorrow's technological landscape.

Why Join us?:

This role includes hands-on work with government, defense, and security organizations in Israel and across global markets.

Take part in building cutting-edge AI infrastructure from the ground up.

As a DevOps Engineer, you'll play a key role in deploying our platform directly at customer sites, influencing implementation across diverse environments.

This is a unique opportunity to take ownership of complex, hands-on deployments, work across multiple cloud providers, and lead system automation in real-world production scenarios.

Join us to tackle real technical challenges and grow in a fast-moving, high-impact environment.

Responsibilities:

• Installing and deploying our platform in customer environments
• Independently determine and develop architectural approaches and solutions
• Build automated deployment and testing environments
• Manage performance bottlenecks and continuously improve the security and resilience of our platform
• Act as a knowledge source for other team members
• Management horizon for team leadership
• Work with cloud platforms such as GCP, Azure, or AWS
• Use scripting and automation tools to streamline infrastructure processes
  
  

• At least 3 years of experience as a DevOps Engineer
• Proven hands-on experience with microservices. Docker, Kubernetes, and OpenShift
• Experience working in a multi-cloud environment (AWS / GCP / Azure)
• Knowledge of build/release systems, CI/CD pipelines (GitHub Actions/Jenkins)
• Scripting/programming skills with Python/Bash
• Experience with PostgresDB
• Understanding of monitoring tools such as Grafana, Prometheus, and other monitoring technologies
• High problem-solving skills, along with the ability to work independently
  
  

• Security Clearance
• Experience with PostgresDB
• Familiarity with monitoring technologies
• Background in AI/ML infrastructure